Warning Devices

As millions of people jet off for their summer holidays or make their way home, airports are under increased scrutiny. For many, their eagerly awaited trip begins and ends in the airport. Meeting passenger expectations with a seamless and secure journey from check-in to boarding is critical at a time when passenger numbers are rising, with almost 1.1 billion air passengers traveling through EU airports in 2025, an increase of 4.8% year-on-year. Increased complexity ahead But there are headwinds that airport leaders must navigate through. As critical infrastructure, airports are targets for malicious actors including insiders, cyber-attackers, terrorist groups, and more. Misuse of drone technology threatens the perimeter. Intruders may attempt access to restricted areas, including the airfield. Missing people, left luggage, theft, vandalism, and anti-social behavior are other challenges that teams have to respond to. Moreover, the EU Entry/Exit System (EES) is adding pressure to border processing and queue management. Some airports are under pressure to increase capacity to meet future demand. Profitability and growth are other areas feeling the strain. European airports achieved a net profit of €11.8 billion in 2025, averaging just €4.5 per passenger. Leaders are being tasked with finding new efficiencies, diversifying income, attracting repeat passengers and driving more non-aeronautical revenue through retail, hospitality, car parking and advertising. Improving daily operations All of these challenges are interconnected. Accommodating more passengers, strengthening security and resilience in line with Civil Aviation Authority (CAA) requirements, and delivering a seamless experience all require airport teams to understand what is happening across the site in real time. Modern AI-powered video solutions provide that much-needed visibility. Helping leaders secure airports while improving daily operations and boosting the passenger experience. Traditionally, cameras have been used at airports to monitor sites, record incidents, and provide evidence after an event has occurred. AI-powered video changes this, enabling security teams to take a more proactive approach to securing airport sites, assets, and passengers, while also delivering insights to inform strategy and improve the passenger experience. License plate recognition For example, advanced video analytics can identify queues and alert operators, allowing them to open additional check-in desks and security screening areas, or redirect passengers to quieter areas. Maintenance, cleaning and staffing schedules can also be adjusted around busier periods. Outside the terminal, license plate recognition and dwell-time analytics can support traffic management, helping teams respond to congestion and direct vehicles to available areas for rapid pick-up and drop-off. Increasingly complex threats As for security, comprehensive oversight of all areas, supported by continuous monitoring and automatic alerts for objects or events of interest, is critical. This is particularly important as airports contend with increasingly complex threats, from incursion by drones and terrorism to unauthorized access. Rather than relying solely on human operators to monitor numerous screens, AI video surveillance highlights the most critical events requiring human input. Proactive intelligence supports teams to intervene and respond to events requiring their attention quickly and with essential situational awareness using semantic and similarity search. For example, a missing child can be rapidly located with video footage searched based on what the child was wearing and where they were last seen. Similar footage can be brought up for investigation into their potential direction of travel. Detecting unusual behavior AI-powered video can also detect unusual behavior such as loitering, people or vehicles in unexpected locations or outside of opening hours, and stopped vehicles. In cargo and back-of-house environments, video analytics can identify events such as slips and falls and alert ground teams to respond. There is also a compliance benefit. Comprehensive event logs can help airports maintain clearer records of incidents and safety activity, supporting reporting and providing evidence that appropriate procedures are being followed. Post-event investigations AI-powered forensic search can speed up post-event investigations by allowing operators to search footage using visual characteristics and similar attributes. That could help investigate a security incident or establish what happened during an operational disruption. If an investigation is escalated, relevant footage can also be shared with law enforcement. AI-powered video is far more than a surveillance tool. It can support the wider business of running a safe, efficient and resilient airport, from managing passenger flows and protecting staff to responding to incidents and improving operational efficiency. As airports become more digitally connected, video can also work alongside other smart-airport technologies, from biometric boarding to automated baggage handling. Barcode-reading cameras, for example, can connect baggage and cargo identification data with video footage, helping operators locate items more quickly, investigate incidents and maintain a visual record of their journey through the airport. Personal protective equipment Video can also support both safety and operational efficiency in fleet maintenance areas. Analytics can help identify hazards such as Foreign Object Debris (FOD), monitor whether technicians are following safety procedures and wearing appropriate personal protective equipment, and detect slips and falls. Thermal imaging can also flag unusual temperature changes in equipment, providing an early warning of potential failures or fires. Acting on these alerts quickly can help prevent incidents, reduce unplanned downtime and inform preventative maintenance decisions. Integrating AI-powered video with these technologies can create a more connected view across IT, physical security and operations, helping teams share information and make faster, better-informed decisions. Airports are an integral part of the global economy, with passenger numbers set to continue growing as more people take to the skies. Meeting the needs and expectations of the modern traveler will require intelligent systems that give airport teams the information they need to respond in real time, so passengers can get on with what they came to the airport for: starting their journey.

Pyronix has announced the launch of PyronixCloud Connect (PCC), a compact and affordable Wi-Fi-enabled module that brings modern smart features to older wired alarm systems, without the need for a full system upgrade. Designed to integrate seamlessly with legacy Pyronix and third-party control panels, PCC connects older systems to InSite Pro Cloud and the HomeControl2.0 app. This enables users to remotely arm or disarm their system, check status updates and receive alerts in real time, adding powerful new capabilities to traditional setups. Full system upgrade “PCC is about unlocking modern convenience for systems that are already in place,” said Laurence Kenny, Chief Executive Officer at Pyronix. “It gives installers an easy way to offer added value, while end users benefit from connected, app-based control with minimal disruption.” With Wi-Fi connectivity and an external antenna to maintain signal strength, even inside metal casing, PCC removes the need for Ethernet cabling or hardwiring, offering flexible placement and a hassle-free installation process. “Installers can have PCC up and running in as little as 15 minutes, thanks to pre-wired leads with clear color coding and app-based setup via Bluetooth Low Energy (BLE),” said Laurence. “The compact design fits neatly inside most existing control panels, and a printed QR code makes pairing fast and straightforward.” Delivering modern functionality PCC supports keyswitch-style arming and disarming and programmable inputs that can trigger specific alert types such as intruder, fire or panic. This flexibility makes it suitable for a wide variety of systems and user needs, delivering modern functionality in minutes. As well as enhancing existing systems, PCC opens up new service opportunities like Guard Response, helping installers generate recurring revenue while future-proofing their customer base. PCC also offers a valuable upgrade option for customers who are not yet ready to replace their existing wired system. By adding modern features such as app control and notifications, PCC delivers immediate value while helping create a clear pathway to future system replacement. PyronixCloud Connect is now available in distribution.

Zimperium, the pioneer in AI-empowered mobile security, today released new analysis warning that agentic AI is making sophisticated mobile app attacks easier to develop, adapt and scale. Agentic AI systems can independently plan and execute tasks, learn from unsuccessful attempts and adjust their approach until an objective is achieved. Applied to mobile attacks, these capabilities allow threat actors to automate work that previously required extensive time and specialized expertise, including analyzing app defences, identifying ways to bypass security controls and replicating successful attacks across multiple devices. Malware targeting credentials “Agentic AI is transforming complex mobile attacks into repeatable operations that can be initiated with simple, natural-language instructions,” said Pat Shueh, VP of Product Management, MAPS, at Zimperium. “The concern is not that AI has created an entirely new vulnerability class. It has removed many of the technical barriers that once limited who could execute these attacks and how quickly they could scale.” The warning follows Zimperium’s recent analysis of RatHat, an AI-powered mobile malware targeting credentials and financial accounts. RatHat provides evidence that AI is already becoming part of the mobile threat landscape, while emerging agentic AI frameworks could give attackers even greater autonomy and speed. Agentic AI frameworks Once an agent identifies a successful attack path, it can translate that process into a reusable script and deploy it across fleets of devices or emulators. It can also reassess and regenerate the attack when an application changes, reducing the cost and effort required to maintain mobile fraud operations. This shift increases the need for mobile app security that can withstand both static and dynamic analysis, tampering and manipulation at runtime. Organizations must protect applications throughout their lifecycle, from development and app store distribution through execution on end-user devices.

Inovonics, a provider of wireless solutions for life safety and security applications, is celebrating 40 years of innovation and continued growth in commercial security, senior living e-call, multi-family submetering, and commercial monitoring markets. Founded in 1986, Inovonics has continued to advance 900 MHz wireless technology to develop solutions designed for life safety, intrusion detection, and environmental monitoring. “Inovonics has spent four decades building technology that performs when it matters most,” said Tom Chittenden, President of Inovonics. “We continue to pioneer new solutions using the latest advancements in wireless technology that deliver higher levels of performance, reliability, and versatility to solve real-world challenges.” Open integration options The next chapter for Inovonics builds on the same foundation of reliable hardware backed by cloud software and open integration options for systems integrators and other technology partners. "We're building the platform that will define the next 40 years for our company," Chittenden said. "Our newest Intrusion System and Duress Card reflect where we are headed, toward connected solutions that leverage the best in 900 MHz wireless, AI, and cloud technologies that our partners can trust today and grow into tomorrow." Noted Inovonics milestones over the past 40 years include:  1986: Inovonics Corporation founded in Boulder, CO by Steve Koonce & Don Hume to develop commercial wireless products leveraging frequency-hopping, spread spectrum RF technology. 1996: Inovonics trademarks Frequency Agile as the brand name for its proprietary 900 MHz wireless technology. 1997: Inovonics launches Wireless Guardian security control panel for small commercial security applications. 1998: Inovonics launches TapWatch wireless utility submetering software and pulse-meter transmitter solution to the multifamily market. 1999: Inovonics launches Comset and Comset Superlight wireless telephone headsets. 2000: Inovonics awarded ISO 9001 certification. 2001: Inovonics partners with 3M to create ergonomic wireless headset solutions for drive-thru restaurants. 2005: Inovonics ships millionth TapWatch transmitter. 2007: Inovonics launches EchoStream next-generation high-performance wireless mesh network. 2008: Inovonics develops commercial UL-listed wireless security sensors and repeaters. UL had not previously listed any commercial wireless universal transmitters or repeaters, making the EchoStream products uniquely qualified for the commercial marketplace. 2010: Millionth EchoStream sensor shipped. 2010: Patent No. 7,746,804 awarded for EchoStream directed messaging network architecture. 2010: Inovonics launches Remote Data Logger and TapWatch 3 software for utility subtering solutions. 2013: Inovonics launches EN6080 Gateway, one of the first PSIA-compliant wireless area gateways enabling IP and system integration. 2013: Inovonics launches TapWatch Cloud, the company’s first cloud-hosted software solution. 2015: Patent No. 9,111,432 awarded for mobile duress pendant management system. 2018: Awarded patents for the EN1221S-60, wearable emergency call device pendants specifically for the senior living industry. 2018: Over 3 million wireless pulse transmitters sold. Company releases EN1550EP Encoder Pulse Transmitter expanding IoT and building management utility products. 2022: Inovonics launches fall detection and alarm location solutions for senior living communities. 2024: Inovonics announces Advanced Location solution. 2025: Patent No. 12,367,757 issued for fall detection pendant systems and methods. 2026: Inovonics introduces groundbreaking Intrusion Detection and Duress Card solutions. Celebrates 40th anniversary.

OPTEX, a pioneer in sensing technologies, will present its latest perimeter and asset protection solutions at Security Essen 2026, one of Europe’s pioneer security trade fairs. Throughout the exhibition OPTEX will showcase its expertise in intrusion detection technologies, alongside its continued investment in the DACH market and its customer-focused approach. Security Essen will also mark Dirk Schiller’s first event as OPTEX’s new Head of Sales DACH, giving customers and partners across the region the opportunity to meet him and discuss their security requirements. Intrusion detection technologies “Across the DACH region, security requirements are evolving rapidly at high-value sites and critical infrastructure, particularly at data centres, whose role as essential social infrastructure continues to grow,” says Masaya Kida, EMEA Managing Director, OPTEX. “As a result, demand for OPTEX’s LiDAR solutions is increasing significantly. We continue to invest in the DACH market and strengthen our local presence to better understand the challenges faced by our customers and partners. By combining our sensing and detection technologies with local expertise and customer-focused support, we aim to provide the right solutions for increasingly complex security requirements.” Visitors to the stand will be able to experience live demonstrations of OPTEX’s award-winning REDSCAN LiDAR series, including the REDSCAN Lite, which will make its first appearance at a German security exhibition. Designed for indoor high-security applications, the REDSCAN Lite uses 2D LiDAR to create a precise detection plane in areas such as server rooms, restricted access points and other sensitive spaces. The wider REDSCAN range also provides configurable virtual walls, planes and zones for reliable intrusion detection across both indoor and outdoor high security environments. High security environments OPTEX will use the event to present its TXI Series, a high-mount outdoor curtain detector designed to support earlier identification of intruders before they reach a building. The range combines OPTEX’s patent-pending Triple AND Logic with Super Multidimensional Analysis (SMDA) digital processing to help reduce false alarms. The Triple AND Logic uses three independent sensing areas to form three detection zones, with an alarm generated when all three detect simultaneously. The TXI Series can be mounted at heights of up to 4m. For large perimeter and high security protection solutions, OPTEX’s EchoPoint™ Distributed Acoustics Sensors (DAS) will also be on stand. The series uses fibre-optic sensing and intelligent detection algorithms to identify and locate intrusions across fence-mounted, buried and hybrid applications, with a range of up to 100km and location accuracy of approximately +/- 6m. Reducing false alarms Dirk brings more than 18 years of experience in sales and business development, with a background spanning physical and digital security across transportation, logistics, data centres, energy and smart cities. Based at OPTEX’s Düsseldorf office, he will focus on understanding the challenges faced by customers across the DACH region and connecting them with the right solutions, while supporting the continued growth of OPTEX’s security business and strengthening its market presence in the region. “Security Essen is a valuable opportunity to meet customers and partners in person, understand the operational realities behind each project and discuss how OPTEX can support them,” says Dirk. “I’m looking forward to being there with the team, discussing specific security challenges and demonstrating our leading technologies.” OPTEX’s sales, technical and marketing teams will be available throughout the show. Visitors can meet the team at Stand 7C35 in Hall 7.

DICE Corporation announces a new edge artificial intelligence platform that runs AI processing inside the customer's network and reports into Ceila.ai as a native component. The platform was previewed with corporate and national account clients at GSX 2026 in Atlanta this week. It is currently in trials with monitoring centers and enterprise accounts including Clear Watch, one of the industry's larger interactive virtual guarding services, with general availability planned for the first quarter of 2027. Most video monitoring deployments today rely on a round trip. The customer selects a third-party analytics provider, motion events are sent out to that provider for evaluation, and the result is forwarded into the monitoring platform. Separate vendor relationship The monitoring center becomes a destination for someone else’s decision, and the customer carries a separate vendor relationship, a separate bill, and a separate support path when something misses. DICE supports that model and will continue to, integrating whichever analytics provider a customer chooses. That already includes a wide range of edge and analytics platforms, such as OpenEye, Camect, and CloudEye. DICE remains camera-agnostic by design. The platform is built to the industry’s established protocols, including ONVIF, and where a device falls outside those standards it connects directly by RTSP, with events delivered into the center by SMTP. Rather than maintaining a fixed list of certified devices, DICE built to what the industry already runs on and kept a path open for everything else. DICE edge platform The DICE edge platform offers a second path. Processing happens on site, on DICE hardware, with results delivered directly into the same workflow that handles the alarm signal, the video, the audio, and the dispatch. There is no external analytics hop and no clip leaving the customer’s premises for evaluation elsewhere. Local processing also simplifies network configuration. Because the appliance operates inside the customer’s network and communicates outbound to DICE, cameras are reached across the LAN rather than through inbound access, which suits enterprise environments where IT policy restricts changes at the firewall. Custom detection projects The platform is built to carry the full DICE detection library on premise rather than a reduced subset. Beyond person and vehicle classification, the platform detects behaviours and interactions between objects, reads license plates, counts people and vehicle traffic, applies privacy masking to sensitive areas, processes thermal imaging, and performs safety and compliance review including personal protective equipment use and lifting technique. Detection models are developed by DICE and extended for individual customers, including custom detection projects built for Fortune 500 companies, national retailers, and municipal operations. Development has been driven by national retail chains and multi-site enterprise accounts DICE supports, where event volume and bandwidth cost make on-premise filtering essential. Over the past year DICE has seen a significant increase in monitoring centers and guarding operations migrating onto its platform, and the company has expanded its installation and onboarding capacity to meet a growing schedule of committed deployments. Co-pilot architecture Clear Watch runs its AI video detection on the DICE platform today and states publicly that it identifies more than three times the object types of any other provider. “In virtual guarding, our reputation is built on catching what matters and staying quiet about what doesn't. Three object classes never gave us the resolution to do that reliably,” said Glen Carter, President of Clear Watch. “Running DICE's full detection library on the edge means the call gets made on site, in real time — we're not dependent on a third party's turnaround to protect our clients.” Virtual guarding providers Ceila.ai extends its digital operator and co-pilot architecture to virtual guarding providers and enterprise GSOC teams. Because DICE manufactures its own PBX and softswitch, Ceila.ai evaluates live phone audio alongside live video in a single decision path, an integration DICE believes is unique in the industry. Dispatches are delivered through the DICE message broker, which is connected to more than 700 PSAPs and sends alarm dispatches directly into their CAD systems. “Everyone in this industry says they have AI. Most of them mean they have a connector to somebody who does,” said Cliff Dice, President, CEO, and Founder of DICE Corporation. “We built Ceila.ai with AI at the core of the event management platform rather than as a service we forward events to. If a customer wants to bring their own provider, we integrate it and we do that every day. But they should also be able to get it from the same company that handles their alarm, their video, their phone call, and their dispatch, with one throat to choke when something misses.” Global buildout of artificial intelligence The DICE platform runs entirely on Linux, on a runtime engine and virtualisation layer DICE developed itself, inside UL-listed hosting centers the company owns and operates. That architecture allows processing capacity to expand and contract automatically with load, which matters in an industry where event volume is uneven by hour, by season, and by incident. Development is performed by a United States based engineering team. The approach also gives DICE direct control over compute cost at a moment when the global buildout of artificial intelligence has made processing capacity significantly more expensive. In the round-trip model, a customer’s analytics cost is set by a third party and can be repriced at renewal. DICE provides the compute inside its own centers and prices it as part of the platform. GPU computing environment DICE has invested millions in the infrastructure behind the program, including its own GPU computing environment inside facilities it owns and operates, with the objective of keeping AI processing and the data governance around it under DICE’s control as the technology advances. The company has filed more than 20 patents tied to Ceila.ai, adding to a portfolio that includes patents for Video Arm/Disarm and Gatekeeper technology. DICE Corporation has been in business for 40 years and today supports approximately 3.5 million alarm subscribers and 6.5 million telecom subscribers, handling more than 10 million calls per month.

When news broke that a Renoir painting had been stolen from an exhibition in the south of France, days after 600 diamonds were taken from a museum in Vienna, few in the art or security worlds would have been surprised. Europol had recently published “Changing Tactics, Changing Targets: The Evolving Nature of Museum Heists,” highlighting criminals’ growing focus on high-value objects and their increasing use of force. The latest theft also echoes the Louvre heist almost a year ago, both in how quickly it unfolded and in the security lessons it exposes. When every second counts Both French museum thefts happened in broad daylight. Both were fast. CCTV from the Renoir museum shows the perpetrators cutting through the perimeter fence early in the morning. Police were reportedly on site within five minutes of the alarm being raised. It still wasn’t fast enough. That matters. For many museums and galleries, simply building higher walls or stronger fences isn’t an option As criminals become bolder, custodians of national treasures and high-value objects need to rethink where protection begins. For many museums and galleries, simply building higher walls or stronger fences isn’t an option. These buildings are often architectural landmarks and public spaces. Turning them into fortresses defeats the point. But there is another lever security teams can pull: earlier detection. A few extra seconds of warning could give on-site security or nearby police the time they need to intervene before a work of art disappears. Forget the Hollywood lasers The cover of Europol’s museum heist report shows a criminal wielding a mallet in front of artefacts protected by red laser beams. It is the kind of security system made famous by films including “Entrapment,” “Ocean’s Twelve” and “The Thomas Crown Affair.” Virtual perimeters aren’t science fiction. But the technology available today looks very different. Museums and galleries need stronger protection without compromising their architecture or the visitor experience. One technology attracting attention is LiDAR, a spatial sensing system that uses lasers to understand what is happening within a physical environment An invisible perimeter The technology sends out laser pulses and takes millions of spatial measurements every second LiDAR is already used in environments ranging from railway stations and prisons to electricity substations. Its appeal lies in its accuracy and flexibility. It can operate indoors and outdoors, integrate with existing cameras, alarms and sensors and strengthen security without major physical alterations to a site. The technology sends out laser pulses and takes millions of spatial measurements every second, building a three-dimensional picture of its surroundings. Security teams can use that data to create virtual zones around a building, room or individual exhibit. Those zones can be changed as the site changes. Three-dimensional picture A museum perimeter, for example, might remain protected around the clock. A gallery being prepared for a new exhibition could be temporarily excluded while authorized staff work inside it. Once the zone becomes active again, an intrusion can trigger an immediate alert. The same principle can work while a museum is open. If someone gets too close to an exhibit, crowds begin to form or a person remains in a sensitive area, the system can alert staff or bring up feeds from relevant cameras. That means security teams can focus their attention where it is needed instead of relying on someone to spot every incident across banks of CCTV screens. Seeing what cameras can miss During an attempted robbery, LiDAR can identify the location and movement of people and vehicles During an attempted robbery, LiDAR can identify the location and movement of people and vehicles, including their direction and speed. It also has a significant advantage over conventional CCTV: it does not depend on external light. Detection can continue in bright daylight or complete darkness. That makes the perimeter less about a physical barrier and more about knowing, instantly, when someone crosses a line they shouldn’t. Security before the doors even open The technology can do more than detect intruders. Walk-through simulations allow teams to move through a virtual version of a site much as they would navigate an open-world computer game. Before an exhibition changes, teams can test how a new layout could affect visitor movement, identify blind spots and bottlenecks and assess evacuation routes. That gives security teams the chance to find problems before visitors arrive, not after something goes wrong. Protect the art, not the fortress Museums and galleries face a fundamental tension: make art and culture accessible while protecting objects that can be culturally irreplaceable and financially priceless. The answer cannot simply be more barriers. The next generation of museum security needs to detect threats sooner without getting between visitors and the works they came to see. The strongest perimeter may be the one nobody notices.

Security is a top priority for any organization responsible for safeguarding critical infrastructure. However, recent events have highlighted the fragility of the global energy supply chain and the need for change. When tankers cannot safely navigate the Strait of Hormuz, fuel prices rise and public anxiety grows. This often results in long lines at the fuel pump and fears of shortages quickly becoming a self-fulfilling prophecy. The reality is that critical infrastructure will always be a target because those seeking to disrupt, cause harm or force change — militarily, economically, politically or socially — understand both its physical and psychological impact. Regulating for resilience While headlines focus on political debates over who should keep shipping lanes open, critical infrastructure organizations and governments are moving forward with new physical and cyber safeguards to protect sites closer to home. Before recent Middle East events, CISA’s 2025 review outlined efforts to strengthen U.S. securityWeeks before recent events in the Middle East, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) released its 2025 review outlining major actions taken to strengthen national cyber and physical defences. Meanwhile, in Europe, the Critical Entities Resilience (CER) Directive will take effect across the EU in July, with member states such as Germany advancing early through its KRITIS framework to establish a model for CER compliance. These initiatives extend to energy supplies, from power stations (gas, electricity and nuclear), refineries and pipelines, substations, water treatment facilities, data centers and food production. And while increased investment in renewable energy may reduce reliance on overseas supply, wind and solar farms remain potential targets as well. Fortunately, the likelihood of missile strikes on critical infrastructure is low in many regions. But the risks of trespassing, espionage, sabotage, terrorism and protest activity are far higher. Protection and detection Security levels vary widely across critical infrastructure.  A large power station may employ live-monitored CCTV, video analytics, alarms, sensors, access control, fencing and other heightened defences. In contrast, a rural electrical substation may rely on a single unmonitored camera, a perimeter fence and a basic alarm. Despite significant annual investment, organizations often lack the ability to connect these systems. Without integrated systems, real-time situational awareness — understanding what happened, how it began, what is occurring now and how to respond — is nearly impossible. Operators typically manage large portfolios of sites spread over vast and often challenging geographies. Only by integrating siloed systems and linking multiple sites into a centralized operation can true enterprise-wide visibility be achieved. Video management system A centralized insight layer (PSIM) ensures incidents are detected using all available resources For example, a perimeter breach at a substation might initially appear to be an isolated incident. But combined with a similar incident at another site, it could indicate the start of a coordinated attack. A centralized insight layer (often referred to as a PSIM — Physical Security Information Management system) ensures incidents are detected using all available resources. A perimeter alarm — triggered by a steel fence sensor or a 3D LiDAR system — initiates an alert and the video management system automatically displays the relevant live camera feed and recent footage. Operators can follow predefined workflows to lock down areas, dispatch first responders or initiate evacuations. Automated actions, such as playing recorded announcements over public address systems, can also occur. Rapid, effective response is essential for safety, security and ensuring uninterrupted service to customers. Resilient supply chains require security measures that function from the source to the point of service. Recent geopolitical and environmental events, such as severe flooding, have shown how quickly disruption to one link can trigger widespread consequences. However, critical infrastructure operators can strengthen resilience by leveraging the robust systems they already have, improving their ability to detect and respond to threats.

A security camera installed today has more AI processing power than the systems that guided early autonomous vehicle prototypes. And yet the operator who mounts that camera on a wall will, in all likelihood, never use most of that capability.  Industry surveys bear this out: a wide gap persists between the number of security professionals who believe AI can improve outcomes and the much smaller share who have adopted it operationally. The reason has nothing to do with the silicon and everything to do with how the industry has asked people to configure these systems. The problem is not that the industry lacks algorithms. The problem is that physical security has never found a scalable way to personalize systems for each site. The personalisation dilemma hiding in plain sight The problem is that physical security has never found a scalable way to personalize systems for each site A surveillance deployment at an airport, a retail chain, a school campus, and a logistics yard can look strikingly similar in hardware terms. Each installation uses image sensors, edge processors, network connectivity, and a management layer. What changes is what the operator cares about. At a school entrance, the priority might be perimeter approach after hours and controlled access during the day. At a loading dock, the concern is tailgating, vehicle dwell time, and safety incidents near forklifts. At an airport, the operator may need queue-flow analytics one moment, unattended-item detection the next, and then a search for a specific person of interest carrying a particular bag. At a retail store, loss prevention teams want to correlate customer flow patterns with point-of-sale data and identify suspicious behavior near high-value merchandise. This range of needs forces a reality that the industry has acknowledged in principle but never resolved in practice: the application pool across the market is vast, yet each individual site typically requires only a narrow set of outcomes. Each deployment needs personalisation once, at commissioning, and then again whenever the environment or the risk profile shifts. The app store that never became a market For the better part of a decade, the industry’s most visible answer to the personalisation problem was the “app store” model. The logic was straightforward: curate a marketplace of trained neural network algorithms, let integrators browse a catalog, and download the right analytic for each job. Queue counting for a passport control hall. License plate recognition for a parking structure. Occupancy monitoring for a conference room. The concept borrowed directly from the consumer smartphone approach. In practice, it never matched physical security’s purchasing and operating rhythm. A phone owner discovers and downloads new apps continuously. A physical security deployment selects one or two analytics functions at installation and rarely revisits them. Another maintenance burden A queue-counting algorithm trained on airport data is excellent at queue counting The economic incentive to maintain, curate, and update a broad catalog across a fragmented ecosystem of camera OEMs, VMS platforms, and system integrators never materialised when the average buyer drew from only a thin slice of it. And the question of who would operate such a marketplace across that fragmented landscape was never satisfactorily answered. The deeper issue is that distribution was not the hard part. Personalisation was. A queue-counting algorithm trained on airport data is excellent at queue counting. It does not naturally become a general-purpose security tool for whatever the operator needs next. Once a model is trained for a narrow task, adaptation requires another project, another integration cycle, and another maintenance burden. AI-enabled cameras The examples that do exist are instructive. Schiphol Airport in the Netherlands has used trained camera systems for over a decade to measure queue length at passport control and alert staff when additional counters should open. Rome trailed AI-enabled cameras to track pedestrian wait times at crosswalks, measure bus queue length, and monitor parking occupancy to support active transport and reduce vehicle emissions. These are effective, well-regarded deployments. They also illustrate the limitation: each required its own trained model, its own integration effort, and its own maintenance cycle. The queue-counting camera at Schiphol cannot be redeployed to detect an abandoned bag. That is a separate algorithm, a separate procurement, and a separate project. What changes with agentic AI Applied to physical security, this translates into a simpler commissioning experience Agentic AI points to a fundamentally different approach. An agentic system can receive goals expressed in natural language, determine the appropriate actions to fulfill those goals, execute those actions using available tools, and verify the results. Applied to physical security, this translates into a simpler commissioning experience: the operator expresses intent in plain language, and the system configures itself to achieve that intent. Consider the practical implications. An installer commissioning cameras at a retail location could type or speak a set of instructions: “Alert the manager if more than five people are waiting at checkout for longer than two minutes.” A facilities director could ask the system to “Track vehicles that enter the east parking lot after 9 p.m. and flag any that remain for more than 30 minutes.” A school security coordinator might specify: “Notify campus police if anyone approaches the perimeter fence between midnight and 5 a.m.” Appropriate perception capabilities None of these instructions require the operator to select a specific analytic from a catalog, configure a detection model, or define pixel-level zones in a complex VMS interface. The system interprets the intent, selects the appropriate perception capabilities, configures thresholds and context, and validates behavior over time. When the operator’s needs change, a new instruction replaces the old one. The camera hardware stays the same. The AI adapts. This is the core of the shift: minimal user input, maximum flexibility, and a security system that personalises itself without requiring the operator to navigate the traditional customize-certify-deploy cycle. Vision language models make it practical A conventional neural network trained for people counting can count people The enabling technology is the vision language model, or VLM. A VLM combines visual encoders with language reasoning, allowing it to interpret images or video in the context of natural language prompts. This is a qualitative leap beyond traditional convolutional neural networks, which classify or detect predefined objects and have no mechanism for open-ended interpretation. A conventional neural network trained for people counting can count people. It cannot distinguish between a crowd of commuters exiting a train station and a crowd assembling in protest. A VLM, by integrating contextual reasoning with visual analysis, can draw inferences that a task-specific model cannot. It can assess behavioral patterns, interpret spatial relationships, and respond to queries about scenes it has never been explicitly trained to analyze. Where a neural network might register two people carrying objects, a VLM could infer whether the scene suggests travellers with luggage or workers transporting equipment, provided the visual context supports that inference. Supporting multimodal input This matters in physical security because operational questions are rarely phrased as taxonomy labels. Operators want to express outcomes. They want to say “show me anything unusual near the loading bay after hours,” and the system should be able to reason about what “unusual” means given the site context. VLMs also support multimodal input. Audio cues such as a raised voice, a scream, an alarm, or breaking glass can contribute to scene interpretation when paired with video. In security applications, where events routinely unfold across both visual and auditory channels, this capability adds a meaningful layer of situational awareness. The edge constraint that forces discipline Large language models in the cloud use hundreds of billions of parameters and consume hundreds of watts None of this works if the architecture assumes data center conditions. Most surveillance cameras operate under strict power and thermal limits. Power over Ethernet (PoE), the standard delivery mechanism, typically provides between 15 and 30 watts depending on the PoE class, and only a fraction of that budget is available for AI processing after the sensor, ISP, video encoder, and network stack have taken their share. In many installations, the AI workload must fit within a few watts. Large language models in the cloud use hundreds of billions of parameters and consume hundreds of watts. That scale does not translate to a camera mounted on a pole or embedded in a ceiling tile. For agentic AI to work at the edge of a physical security network, the models must be compact, efficient, and designed for the purpose. Neural network acceleration This is where smaller, domain-specific VLMs become essential. Models trained on industry-relevant image and text datasets, combined with techniques such as pruning, quantisation, and parameter-efficient fine-tuning, can deliver meaningful visual reasoning within the compute and memory constraints of an edge processor. The result is a VLM that fits inside a camera’s power budget and still responds to natural language instructions with useful accuracy. Ambarella’s CVflow AI architecture, now in its third generation, was designed for this class of workload. The architecture integrates advanced neural network acceleration with high-resolution image signal processing and video encoding on a single system-on-chip, allowing cameras to run complex AI inference alongside their core imaging functions without exceeding the thermal and power boundaries that define edge deployments. The company's latest addition to its portfolio, the 4-nanometer CV7, runs CNNs and vision language models concurrently across multiple video streams while consuming 20 percent less power than its predecessor. For infrastructure and robotic applications requiring heavier models, the 5-nanometer N1 family supports multimodal LLMs in multi-camera configurations. Distributing intelligence across far edge, near edge, and cloud This tier must respond in milliseconds and operate within a fixed power envelope A workable agentic architecture for physical security distributes intelligence across three tiers, each matched to the processing demands and latency requirements of its role. At the far edge, inside the camera itself, the processor handles real-time perception: object detection, tracking, zone logic, and initial event classification. This tier must respond in milliseconds and operate within a fixed power envelope. At the near edge, on a local gateway or network video recorder, a more capable processor orchestrates across multiple cameras, maintains state, correlates events, retrieves site-specific policies and procedures, and classifies incidents requiring more context than any single camera provides. At the cloud/server tier, available when connectivity permits, the system accesses heavier models for forensic analysis, fleet-wide analytics, model updates, and long-horizon reporting. Periodic cloud access This tiered approach keeps the most time-sensitive decisions local, where latency is lowest and data privacy is strongest. It also means agentic capabilities can scale incrementally. A small installation might run entirely at the far edge with periodic cloud access. A large campus might employ all three tiers, with near-edge orchestration coordinating PTZ patrol patterns across dozens of cameras while the cloud generates shift summaries and updates models based on fleet-wide telemetry. In practice, a security workflow built on this pattern often combines real-time detection at the far edge, behavior-tree orchestration at the near edge for multi-camera coordination, local retrieval over site playbooks, and conservative safe-mode escalation when system confidence is low. The discipline of deterministic guardrails and structured verification loops is essential in security operations, where unpredictable system behavior is not acceptable. A hybrid future, with VLMs orchestrating specialist models The transition to agentic AI does not eliminate specialized neural networks The transition to agentic AI does not eliminate specialized neural networks. Purpose-trained models will continue to deliver superior accuracy for well-defined, high-frequency tasks such as license plate recognition, face matching, and fire and smoke detection. In a mature agentic system, the VLM acts as an orchestrator. It handles open-ended perception and natural language interaction while routing to specialized models when a task demands their precision. A PTZ camera at a transportation hub might receive the instruction “monitor the west concourse for unattended items.” The VLM interprets the request, manages the interface, and reasons over broader scene context. Real-time video processing When it identifies a candidate object, it routes to a dedicated abandoned-item classifier optimized for that specific validation step. The VLM orchestrates. The specialist model validates. The operator receives a refined, actionable alert. That hybrid pattern places specific demands on the silicon. The processor must support both traditional CNN inference and generative AI workloads simultaneously while maintaining real-time video processing within the same power envelope. The value of a tightly integrated SoC, one that combines an advanced ISP, a deep learning accelerator, and a video encoder on a single die, is that it eliminates the multi-chip complexity and power overhead that would otherwise make this approach impractical at the edge. Making agentic AI deployable for the ecosystem Ambarella’s Developer Zone, launched at CES 2026, provides a centralized portal of tools Physical security is built on a broad ecosystem of camera OEMs, VMS providers, independent software vendors, module builders, and system integrators. For agentic AI to reach the market at scale, these participants need model-ready tooling, reference workflows, and a practical path from prototype to production. This is where developer ecosystems become part of the story. Ambarella’s Developer Zone, launched at CES 2026, provides a centralized portal of tools, optimized AI models, agentic blueprints, low-code templates, and documentation aimed at accelerating edge AI application development on Ambarella’s SoCs. Common software stack ISVs and integrators can evaluate models, prototype applications, and deploy using a common software stack that spans the company’s CV7 and N1 SoC families through the Cooper development platform. That consistency across the product range reduces per-project engineering cost and accelerates time-to-market for partners building perception and analytics solutions. The point is broader than any single portal: agentic systems require components that have already been tested and optimized for edge deployment, so that integrators can focus on solving their customers' problems rather than rebuilding the AI pipeline from scratch. The ecosystem participants who lead the transition to agentic AI in physical security will be the ones with access to tooling that fits into their existing development and deployment processes. What comes next Physical security has searched for years for a scalable answer to personalisation Physical security has searched for years for a scalable answer to personalisation. The app store model did not provide it. Manual configuration, while functional on a per-site basis, scales poorly across large portfolios of cameras and changing operational requirements. Agentic AI offers a credible path forward because it aligns with how operators actually think. They express outcomes, not model specifications. They want systems that adapt to new requirements without repeated engineering cycles. Traditional neural networks With VLMs as the interface layer, smaller domain-specific models at the far edge, orchestration at the near edge, and disciplined verification loops throughout, personalisation can become a standard part of deployment rather than a custom project. The building blocks are now in place. Power-efficient edge AI processors can run VLMs and traditional neural networks simultaneously. Developer ecosystems are maturing to support rapid prototyping and deployment. Reference architectures for distributing intelligence across far-edge, near-edge, and cloud tiers are solidifying. For an industry that already installs vast numbers of AI-capable cameras each year, the opportunity is to make the intelligence already embedded in those endpoints genuinely usable for the people who rely on them every day.

The security landscape is undergoing a profound transformation, as evidenced by the innovations showcased at the ISC West Expo 2026. From dismantling of silos between physical and digital security to the ongoing transition to cloud and hybrid platforms, much of the discussion on the show floor was familiar, if somehow more urgent than ever. Clearly the industry is moving toward unified, cloud-native, and highly automated ecosystems. In a series of deep-dive meetings and demonstrations at the recent show, I got a first-hand glimpse of the future of the physical security marketplace. Spoiler alert: The future is now! HID Global: Tearing down the silos HID Global is addressing the long-requested convergence of physical and digital security. Recognizing that the industry has historically operated in silos, HID is now leading with a combined implementation team to leverage the power of both sides. HID is supporting the transition by combining its logical and physical security teams to help end users design secure, end-to-end journeys for their employees. By leveraging its massive existing footprint in physical access, HID is uniquely positioned to help organizations upgrade their cybersecurity posture without a total "rip and replace" of their hardware. HID is seeing a surge in demand for converged credentials that unite building access with digital identity. On the digital front, HID has implemented FIDO (Fast Identity Online) and passkeys to replace traditional passwords with more secure, biometric-backed authentication methods. Acre Security: Bridging the gap to the cloud Acre Security previewed a cloud-native video solution, reinforcing its cloud-first security strategyAcre Security is currently consolidating brands, bringing established names like Feenics and AccessIt under a single corporate umbrella. A primary theme for the company at ISC West is the migration of legacy systems to modern infrastructure. To facilitate the transition, they are launching "The Bridge," a technology designed to help on-premise customers transition to the cloud at a pace that suits their operational needs. The company is also expanding its portfolio into video. Attendees at the show received a preview of a new cloud-native video solution slated for release later this year, signaling Acre’s commitment to a holistic, cloud-first security suite. Acoem: Real-time acoustic threat detection With a 35-year foundation in vibration and acoustics—including military sniper detection—Acoem is providing gunshot detection through edge processing. Unlike systems that rely on the cloud and may suffer from latency, Acoem’s technology processes data at the sensor level for instant alerts. Their sensors are engineered for massive outdoor spaces, covering a 500-foot radius (roughly 11 football fields) and can detect high-powered rifle shots from up to half a mile away. The system provides critical intelligence by distinguishing between muzzle blasts and "mach noise" from bullet travel, delivering an audio file to the end-user that maps the location and direction of the threat. They use AI to filter out environmental false positives, such as skateboards hitting metal rails. Alarm.com: The all-in-one dealer ecosystem Beyond hardware, Alarm.com is leveraging AI to streamline the sales process Alarm.com is doubling down on "giving tools to dealers to help them be successful," with a focus on unified commercial solutions. A highlight at ISC West is their new fire communicator, which integrates fire monitoring into their single app, completing what they call the "fourth leg of the stool." The product allows fire systems to benefit from the same real-time customer engagement and push notifications that have long been available for intrusion and video. The key products, such as commercial-grade hardware, are now available for immediate purchase. Beyond hardware, Alarm.com is leveraging AI to streamline the sales process. Their new AI Proposal Builder uses customer meeting notes to automatically generate customized, value-driven sales proposals for dealers. Allegion: A global shift in credentialing Following the acquisition of ELATEC, Allegion is adopting a more global market approach and expanding its OEM business. The company is involved in the development of Aliro, the newly unveiled mobile credentialing standard. Allegion’s strategy is built on versatility: While Aliro serves the burgeoning mobile market, they also offer PKOC for plastic cards, allowing them to provide solutions regardless of the user's preferred credential type. The ELATEC acquisition has effectively filled previous gaps in their use-case portfolio, positioning them as a comprehensive provider for both physical and digital access needs. AtlasIED: Engineering for life safety Transitioning from audio to a fully automated threat detection company, AtlasIED showcased its new IPX line at ISC West. This modular platform uses a single PoE++ port to power various "plug-and-play" modules, allowing for easy system upgrades. Their gun detection technology achieves a 99% confidence rating by "stacking" AI models; it cross-references audio data with infrared signatures to detect muzzle flashes and air quality sensors for particulates. With systems already running in 80% of U.S. international airports, the company maintains 24/7 domestic engineering support to manage these "life-safety adjacent" environments. Axis Communications: Unifying connectivity Axis Communications is advancing network video with 4G/5G surveillance, reducing cabling needs Axis Communications continues to lead in network video, with a new focus on offering surveillance through 4G and 5G networks to eliminate the need for extensive cabling in long-range applications. Axis also introduced several specialized hardware pieces, including the P1486-LE global shutter camera for high-speed traffic monitoring and the Q2802-TE, which integrates thermal and visual monitoring into a single unit.  To assist technicians, they launched a new installer app that uses Bluetooth for easier camera pairing and management directly from a mobile device. Axon: De-escalation through enterprise wearables Focusing on frontline safety, Axon is expanding from law enforcement into the enterprise sector with its retail and healthcare-focused body camera. Weighing only 0.25 lb, these cameras are designed to be less intimidating, using colorful designs and acting as a primary de-escalator for aggressive behavior. A clear front display signals when recording is active, striking a balance between safety and a non-intimidating appearance. These devices feature live-streaming and panic alarms that connect workers to a Global Security Operations Center (GSOC). To ensure the footage is legally viable, Axon maintains a rigorous audit trail that authenticates every action recorded. Genetec: The value of the unified platform Genetec is advocating for unified platforms that reduce the time between incident detection and resolution. They argue that AI is becoming a commodity and that the true value lies in unified platforms that reduce the time from incident to resolution. Their approach emphasises the "outcomes" customers need, such as allowing security teams to coalesce around an investigation quickly. Genetec remains a strong supporter of open systems for enterprise customers, ensuring they have the choice to integrate diverse technologies rather than being locked into a manufacturer’s “walled garden.” This flexibility is critical for high-end security environments that require tailored, responsive systems. Johnson Controls: Large-scale enterprise solutions Johnson Controls has made a significant push into the enterprise video market with C-Cure IQ, a standalone VMS designed for major hubs like airports and large campuses. Through a partnership with Scylla, they have integrated 11 advanced analytics—including facial recognition and weapons detection—directly into their cameras. They also showcased new multi-sensor panoramic cameras capable of "stitching" multiple images into a single 360-degree view. While innovating in video, Johnson Controls also confirmed modern upgrades to their intrusion line, including their legacy DSC Neo line. The new DSC PowerSeries Neo 5, a high-end residential and commercial platform, features an all-new user interface and built-in PowerG+. They have also begun shipping the IQ5 family lineup, which is powered by a Qualcomm DragonWing processor.  ONVIF: Standardising the future of AI and cloud ONVIF continues to lead the charge in establishing common languages for the security industry. A major focus is their new "Cloud Profile," which enables cameras to connect directly to the cloud through a standardized protocol. They are also expanding into audio standards to ensure IP-based speakers can seamlessly connect to Video Management Systems (VMS). To combat the rise of sophisticated digital manipulation, ONVIF is developing "video signing" standards. ONVIF is actively seeking more diverse enterprise participation to help shape these emerging AI standardsThis feature protects the integrity of video for evidentiary purposes by embedding a digital signature and timestamp directly into the footage at the camera level. Additionally, the organization has formed an AI Working Group to develop common communication methods for "AI agents" within physical security systems. ONVIF is actively seeking more diverse enterprise participation to help shape these emerging AI standards. Roberto Licari is the new ONVIF Ambassador, seeking to attract new companies (even outside the security sector) to ONVIF as they look to expand their offerings. SwiftConnect: Bridging digital and physical identity SwiftConnect is redefining access control by shifting the focus from physical cards to digital identity. As a cloud-based "connected access network," the platform bridges the gap between IT identity providers (like Okta or Azure AD) and legacy physical access control systems. At the show's Security Experience Center demonstrations, SwiftConnect showcased its ability to integrate mobile credentials within Apple and Google Wallets across multiple technology platforms. By aligning physical security with Zero Trust principles, they ensure that access is governed by the same rigorous standards as digital networks. Their software-centric approach allows for a more seamless employee experience while simplifying the management of complex, multi-site building security. This emphasises a future where the mobile device becomes the primary tool for navigating the physical workspace. Wasabi Technologies: Redefining cloud storage economics With cloud technology becoming a baseline requirement at every booth, Wasabi Technologies highlighted its "hot cloud storage" as a cost-effective alternative to major hyperscalers. Their model claims to be 80% less expensive than competitors, notably removing hidden fees. Wasabi is increasingly bundled at the "back end" of security solutions through partnerships with integrators and end users. A key feature for law enforcement and high-security sectors is their "Object Lock" capability, which ensures that video evidence remains untampered with and immutable during defined retention periods. By providing high-performance storage without the unpredictable costs typically associated with the cloud, Wasabi is positioning itself as the foundational layer for data-heavy video surveillance applications that require long-term, secure retention. Wasabi is positioning itself as the foundational layer for data-heavy video surveillance applications ZKTeco USA: Versatile and integrated access ZKTeco USA showcased a range of integrated solutions, including turnstiles, visitor management, and access control. Their Atlas access control series offers versatility, supporting everything from traditional readers and keypads to QR codes and fingerprint scanning, with the flexibility to operate on-premise or in the cloud. For tight environments, they introduced the Mars 100 turnstile, which features a compact 2x3-foot footprint. They also highlighted the Omni series, an all-in-one standalone reader-controller that manages access, intercom, and visitor functions in a single device. Innovation in portability was evident in their new walk-through metal detectors, which consist of two poles with an 8-hour battery life—ideal for schools and temporary events. While they offer their own Armatura readers, ZKTeco emphasized that their solutions can integrate with other industry leaders to fit diverse customer needs.

2025 was another impactful year for mergers and acquisitions (M&As) in the security industry, which is undergoing an enormous transformation as global pioneers prioritise specialized technology to drive future growth.  The year 2025 has been defined by massive corporate reorganisations, most notably Honeywell and Resideo spinning off core divisions to unlock shareholder value. Simultaneously, an aggressive wave of mergers and acquisitions is reshaping the landscape, with giants like ASSA ABLOY and Motorola Solutions absorbing innovators in AI-driven surveillance, cloud-native access control, and identity management. From residential security shifts to critical infrastructure enhancements, this article will summarise how these strategic moves signal a decisive industry pivot toward integrated and intelligent security ecosystems. Resideo to spin off ADI business Resideo Technologies, Inc. announced its intention to separate its ADI Global Distribution business from its Products & Solutions (P&S) business via a tax-free spin-off to shareholders. The separation is expected to be completed in the second half of 2026. P&S will continue as Resideo, a building products manufacturer of residential controls The goal is to unlock value, enhance operational performance, and improve strategic flexibility for both entities. After the separation, P&S will continue as Resideo, a building products manufacturer of residential controls and sensing solutions. ADI will become an independent public company and remain a global wholesale distributor of low-voltage products, including security and audio-visual solutions. Honeywell separates into three companies There are big changes pending at Honeywell, another global security industry company. Honeywell announced plans to separate its Automation and Aerospace businesses into two independent, publicly traded companies following a comprehensive portfolio evaluation. Combined with the previously announced spin-off of Advanced Materials, this strategy will create three distinct industry pioneers. The Automation and Aerospace separation is targeted for completion in the second half of 2026 as a tax-free transaction for shareholders. The largest portion of Honeywell’s traditional security business (cameras, access control, and fire safety) sits within the Building Automation segment of the new Honeywell Automation company. This unit includes products from recent major acquisitions, such as LenelS2. SimpliSafe’s new chapter SimpliSafe has agreed to be acquired by private equity firm GTCR from Hellman & Friedman SimpliSafe has agreed to be acquired by private equity firm GTCR from Hellman & Friedman, another private equity firm. As the third largest U.S. residential security provider, SimpliSafe will continue under the leadership of the current CEO, while its founders remain significant investors.  GTCR, an experienced security industry investor, intends to support the company’s expansion and continued innovation in AI-powered, DIY home protection. This marks a new chapter in SimpliSafe’s mission to provide professional monitoring without long-term contracts. SimpliSafe is GTCR’s fifth investment in the security alarm industry, including prior investments in residential-focused security companies SecurityLink and Protection1, along with commercial-focused security companies HSM and Everon. Motorola grows technology portfolio Motorola Solutions grew its portfolio through acquisitions in 2025. The industry giant strategically expanded its safety and security ecosystem through the acquisition of four specialized technology firms. The company acquired Blue Eye to integrate AI-driven remote video monitoring and 24/7 security operations into its threat detection workflows. To support frontline workers, Motorola added Theatro’s voice-powered communication platform, which complements existing mobile and video technologies. Motorola further bolster its public safety capabilities with the acquisition of RapidDeploy, a cloud-native Next Generation 911 provider that offers real-time caller mapping and data analytics to accelerate emergency responses. Motorola also agreed to acquire InVisit to enhance its Avigilon Alta suite with cloud-based visitor management, streamlining guest registration and blocklist screening for enterprise security. These acquisitions aim to unify detection, communication, and response across various sectors, including retail, healthcare, and critical infrastructure. Allied sells majority stake in AMAG Allied Universal sold a majority stake in AMAG Technology to Shore Rock Partners In December, Allied Universal sold a majority stake in AMAG Technology to Shore Rock Partners. Shore Rock is a growth investor focused on critical infrastructure, with strategic backing from BellTower Partners. Allied Universal will retain a significant minority share. The sale is intended to allow 54-year-old AMAG, which provides integrated access control, identity, guest, and video management solutions, to operate independently from Allied Universal's services-based model for long-term growth. Shore Rock's plan is to invest in advancing AMAG's product line and customer relationships. With this transaction, David Sullivan, AMAG's President, will become CEO. Everon acquires ADT multifamily segment Commercial security provider Everon announced in September that it had entered into a definitive agreement to acquire the business-to-business (B2B) multifamily segment from ADT. This acquisition is a strategic extension that expands Everon's reach in the valuable multifamily market. It will allow the company to offer a more comprehensive portfolio of tailored solutions, including access control, video surveillance, and self-guided tour capabilities. Everon's CEO states that the deal enables them to help property owners and managers increase net operating income and improve operational efficiency. Dormakaba acquires TANlock and Avant-Garde Dormakaba, a global provider of access solutions, acquired TANlock GmbH in July Dormakaba, a global provider of access solutions, acquired TANlock GmbH in July. TANlock is a German firm specializing in innovative high-security access solutions for data centers and other critical infrastructure. The acquisition strengthens Dormakaba’s presence in the data center market.  TANlock's intelligent system provides enhanced server cabinet security using electromechanical rack locks and various authentication modules. This solution is scalable, future-proof, and can be integrated into existing IT infrastructures for both retrofits and new installations. Dormakaba also agreed to acquire Indiana-based Avant-Garde Systems Inc. to strengthen its North American entrance control portfolio. This move bolsters Dormakaba’s presence in high-growth sectors like airports and data centers. Acre acquires REKS for AI Recent M&A activity also reflects the growing importance of artificial intelligence. For example, Acre Security acquired REKS, a purpose-built generative AI solution designed to transform access control, allowing professionals to use natural language queries for instant data insights. Integrated into Acre’s cloud-native ecosystem, this AI-powered platform prioritises data privacy while streamlining operations. Led by a new AI Development Team, Acre plans to expand these capabilities into intrusion detection and visitor management. Two acquisitions for Allegion Global security provider Allegion, through one of its subsidiaries, completed the acquisition of ELATEC Global security provider Allegion, through one of its subsidiaries, completed the acquisition of ELATEC, a manufacturer of security and access technology, specializing in RFID credentials and readers solutions designed in Germany and sold globally.  ELATEC’s portfolio of readers leverages their internally developed software stack and ensures compatibility with nearly 100 credential types, making the company a pioneer in interoperability, which aligns well with Allegion’s partner-of-choice strategy. Allegion, also through one of its subsidiaries, acquired Brisant Secure Limited, a security hardware provider in the United Kingdom. Senstar acquires Blickfeld for LiDAR sensors Senstar Technologies Corporation has agreed to acquire Blickfeld, a specialist in 3D LiDAR sensors and software. Expected to close in Q1 2026, the acquisition integrates Blickfeld’s hardware into Senstar’s advanced security ecosystem. This strategic move expands Senstar’s addressable market into volume monitoring and traffic applications while enhancing its AI-powered situational awareness capabilities. Following the transaction, Blickfeld will operate largely independently as a subsidiary. ASSA ABLOY continues acquisition spree Global giant ASSA ABLOY was probably the most active company in the M&A market in 2025 Global giant ASSA ABLOY was probably the most active company in the M&A market in 2025, demonstrating aggressive market growth, strategically reinforcing its core business, and expanding its technological footprint across the global security marketplace. The acquisitions delivered on the company's strategy to strengthen its position in mature markets by integrating complementary products and solutions. A major theme for ASSA ABLOY was the enhancement of the door and perimeter security portfolio, particularly in the Americas. This effort included acquiring US-based Metal Products Inc. (MPI) for custom-made hollow metal doors and frames and International Door Products (IDP) for fire-rated steel door frames, both in the fall. Earlier in the year, ASSA ABLOY gained a stronger presence in Central Canada with the addition of Wallace & Wallace and Wallace Perimeter Security, a manufacturer, distributor, and installer of perimeter fencing, door, and gate solutions. The Entrance Systems Division also saw expansion with the acquisition of Belgium’s Kingspan Door Components, a manufacturer of sectional door panels. Furthermore, Door System, a Danish manufacturer of high-quality fire-rated doors, was signed for acquisition in the spring. Cloud-based platform ASSA ABLOY also made significant moves in electronic and access control solutions. Early 2025 saw two key acquisitions: Uhlmann & Zacher, a German supplier of access control handles and knobs, and InVue, a US-based provider of connected asset protection and access control solutions. Reinforcing this segment, SiteOwl, a pioneering cloud-based platform for physical security lifecycle management, was acquired in the summer. The spring acquisition of Pedestal PRO, a US manufacturer of access control pedestals and mounting solutions, further strengthens the electromechanical offerings in the Americas. ASSA ABLOY bolstered its capabilities in remote care technology with Germany’s TeleAlarm Group in late spring. HID Global expands in 2025 HID Global, a subsidiary of ASSA ABLOY, was also active on the M&A front in 2025 HID Global, a subsidiary of ASSA ABLOY, was also active on the M&A front in 2025, aggressively driving the convergence of physical and digital identity solutions and signaling a clear roadmap for security professionals. HID's move to purchase Vancouver-based IDmelon, announced in the autumn of 2025, targets the critical need for robust logical access control. IDmelon’s proprietary software platform transforms everyday identifiers, including existing physical credentials, smartphones, or biometrics, directly into enterprise-level FIDO (Fast IDentity Online) security keys. This approach streamlines an organization’s transition to phishing-resistant, passwordless multi-factor authentication (MFA) and minimizes the need for disruptive changes by integrating physical and digital access into a single, cohesive solution. Safer patient experience Separate from its focus on digital access, HID also bolstered its Identification Technologies Business Area by acquiring the Calmell Group. Calmell is a long-established manufacturer specializing in smart cards, smart paper, and magnetic tickets for the public transportation sector. This addition is expected to expand HID’s footprint and relevance in global public transportation ecosystems, allowing the Barcelona-headquartered firm to leverage HID’s core expertise in digital credentials to drive future-proof solutions for seamless mobility. Also, HID acquired Intelligent Observation to expand its Healthcare Real-Time Location Systems (RTLS) portfolio. Intelligent Observation provides a platform to reduce hospital-acquired infections (HAIs) by tracking hand hygiene compliance. The system uses wearable Near-Field Magnetic Induction (NFMI) devices and a cloud-based SaaS dashboard. This technology records and reports if healthcare workers sanitize appropriately, providing granular compliance data to administrators to enable a safer patient experience.

Anyone who has been in a proverbial cave for the last couple of years faced a language barrier at this year’s ISC West 2025 trade show. The industry’s latest wave of innovation has brought with it a new bounty of jargon and buzzwords, some of which I heard at ISC West for the first time. As a public service, we are happy to provide the following partial glossary to promote better understanding of the newer terms. (Some are new to the security industry but have been around in the IT world for years.) Obviously, if we can’t understand the meaning of the industry’s lexicon (and agree on the meaning of terms!), we will struggle to embrace the full benefits of the latest industry innovation. Not to mention we will struggle to communicate. Generative AI Generative AI can identify an object in an image based on its understanding of previous objects This was perhaps the most common new(ish) term I heard bouncing around at ISC West. While the term artificial intelligence (AI) now rolls off everyone’s tongue, the generative “version” of the term is catching up. Generative AI uses what it has learned to create something new. The name comes from the core function of this type of artificial intelligence: it can generate (or create) new content. It doesn’t just copy and paste; it understands the underlying patterns and creates something original based on that understanding. In the case of video, for example, generative AI can identify an object in an image based on its understanding of previous objects it has seen. Video and security Generative AI can tell you something digitally about what is happening in an environment. There is no longer a need to write “rules;” the system can take in data, contextualize it, and understand it, even if it does not exactly match something it has seen before. In the case of video and security, generative AI offers more flexibility and better understanding. From 2014 to 2024, the emphasis was on detecting and classifying things; today AI is expanding to allow new ways to handle data, not so prescriptive and no more rules engines. Agentic AI Agentic AI refers to artificial intelligence systems that can operate autonomously to achieve specific goals Agentic AI refers to artificial intelligence systems that can operate autonomously to achieve specific goals, with minimal to no direct human intervention. In addition to the capabilities of generative AI, agentic AI can take action based on what it detects and understands. Use of agentic AI typically revolves around an if/then scenario. That is, if action A occurs, then the system should proceed with action B. For example, if an AI system “sees” a fire, then it will shut down that part of the building automatically without a human having to initiate the shutdown. There is a lot of discussion in the industry about the need to keep humans involved in the decision-making loop, so use of truly autonomous systems will likely be limited in the foreseeable future. However, the ability of agentic AI to act on critical information in a timely manner, in effect to serve as an “agent” in place of a human decision-maker, will find its place in physical security as we move forward. Inference Inference is another common term related to AI. It refers to the process by which an AI model uses the knowledge it gained during its training phase to make predictions, classifications, or generate outputs on new, unseen data. The direct relationship of this term to physical security and video is obvious. In the simplest terms, an AI system is “trained” by learning patterns, relationships, and features from a large dataset. During inference, the trained model is presented with new questions (data it hasn't seen before), and it applies what it learned during training to provide answers or make decisions. Simply put, inference is what makes AI systems intelligent. Containerization Dividing a massive security management system into several separate containers enables management of the various parts In IT, containerization is a form of operating system-level virtualization that allows you to package an application and all its dependencies (libraries, binaries, configuration files) into a single, portable image called a container. This container can then be run consistently across any infrastructure that supports containerization, such as a developer's laptop, a testing environment, or a server in the cloud. In the physical security industry, you hear “containerization” used in the context of separating out the various components of a larger system. Dividing a massive security management system into several independent containers enables the various parts to be managed, updated, and enhanced without impacting the larger whole. Genetec’s SecurityCenter cloud platform Think of it like shipping containers in the real world. Each container holds everything an application needs to run, isolated from other applications and from the underlying system. This ensures that the application will work the same way regardless of the environment it is deployed in.   “It took us five years to containerize Genetec’s SecurityCenter cloud platform, but containerization now simplifies delivering updates to products whenever we want,” says Andrew Elvish, Genetec’s VP Marketing. Among other benefits, containerization enables Genetec to provide more frequent updates--every 12 days. Headless appliance Headless appliance is a device that is managed and controlled remotely through a network or web interface A headless appliance is a device that is managed and controlled remotely through a network or web interface. The device is like a “body without a head” in the traditional sense of computer interaction: It performs its intended function, but without any visual output or input device for local interaction. In physical security, such devices are increasingly part of cloud-based systems in which the centralized software manages and operates all the disparate “headless” devices. A headless appliance does not have a Windows management system. “The whole thing is managed through the as-a-service cloud system,” says Elvish. With a headless device, you just plug it into the network, and it is managed by your system. You manage the Linux-based device remotely, so configuring and deploying it is easy. Democratizing AI You hear the term democratizing AI used by camera manufacturers who are looking to expand AI capabilities throughout their camera lines, including value-priced models. For example, even i-PRO’s value-priced cameras (U series) now have AI – fulfilling their promise to democratize AI. Another approach is to connect non-AI-equipped cameras to the network by way of an AI-equipped camera, a process known as “AI-relay.” For instance, i-PRO can incorporate non-AI cameras into a system by routing/connecting them through an X-series camera to provide AI functionality. Bosch is also embracing AI throughout its video camera line and enabling customers to choose application-specific analytics for each use case, in effect, tailoring each camera to the application, and providing AI to everyone. Context Cloud system also enables users to ask open-ended queries that involve context, in addition to detection Context refers to an AI system that can understand the “why” of a situation. For example, if someone stops in an area and triggers a video “loitering” analytic, the event might trigger an alarm involving an operator. However, if an AI system can provide “context” (e.g., he stopped to tie his shoe), then the event can be easily dismissed by the automated system without involving an operator. Bosch’s IVA-Pro Context product is a service-based model that adds context to edge detection. The cloud system also enables users to ask open-ended questions that involve context in addition to detection. For example, rather than asking "do you see a gas can?" you can ask "do you see any safety hazards in this scene?" The pre-trained model understands most common objects, and understands correlations, such as "a gas can could be a safety hazard.” A scaled-down on-premise version of the IVA Context product will be available in 2026. Bosch showed a prototype at ISC West. Most video data is never viewed by an operator. Context allows a system to look at all the video with "almost human eyes." Cameras are essentially watching themselves, and understanding why something happened and what we can do. All that previously unwatched video is now being watched by the system itself, boosted by the ability to add “context” to the system. Any meaningful information based on context can trigger a response by an operator. Data lake A data lake is a centralized repository that allows one to store vast amounts of structured, semi-structured, and unstructured data in its native format. In the case of the physical security marketplace, a data lake includes data generated by systems outside the physical security infrastructure, from inventory and logistics systems, for example. A data lake is where an enterprise can accumulate all their data, from the weather to Point-of-Sale information to logistics, to whatever they can gather. Putting the data in one place (a “data lake”) enables them to mine that data and parse it in different ways using AI to provide information and insights into their business. Notably, a data lake contains all a company’s data, not just security or video data, which opens up new opportunities to leverage the value of data beyond security and safety applications. Crunching the various information in a data lake, therefore, security technology can be used to maximize business operations.

Introduction - Lightkeepers of Henry County is a grassroots nonprofit organization based in New Castle, Indiana. It began informally in 2020 with a community vigil, where organizers realised that local residents wanted more activities centred on culture, diversity, and understanding. Lightkeepers became a registered 501(c)(3) nonprofit in 2023 and soon afterward acquired its own building. Guided by its core values of equity, education, diversity, and empathy, Lightkeepers aims to provide a safe place where everyone in the community feels appreciated and has a sense of belonging. Its programs focus on marginalised communities, including low-income residents, people with disabilities, and the LGBTQIA+ community. The organization hosted the first Juneteenth celebration in Henry County, organises New Castle Pride, and runs food and blanket drives, festivals, and community meetings. Following historic flooding in the area, it is also hosting home damage assessments for affected residents. Limited police patrols The challenge - Lightkeepers is based in the former Westminster Community Center, a two-story cement building that has long been a staple of the neighborhood. Over the years, it has served as an elementary school, a community center with after-school programs and classrooms, and most recently a food pantry. The building includes a large gym, several ground-floor rooms, an upstairs kitchen, classroom area, and offices, and an attached garage. Before Lightkeepers took it over, the building had been largely vacant, opening for only a few hours, two days a week, for food distribution. It is located in a low-income area with limited police patrols, and the parking lot was so poorly lit that the team repaired the light themselves. A city park directly behind the building had become a meeting place for illegal and unsafe activity. Limited police patrols Today, the building is in use throughout the day. With no set opening hours, it hosts fundraisers, community meetings, training sessions, birthday parties, and baby showers, with anywhere from four to more than 120 people inside at any one time. Festivals and other events also take place in the parking lot. During summer 2026, Lightkeepers partnered with fellow nonprofit Live Coalition to run the Hangout Hub, a weekday program offering activities and free meals for children aged 10 and over. Lightkeepers needed a way to protect the building and its contents, and to keep children and visitors safe while they were on-site. Board members, who often come and go outside of normal hours, needed to see what was happening in the building and parking lot before arriving or leaving. As an older building with boiler heating, the property was also at risk from problems that could go unnoticed when nobody was there. “After we acquired the building, we knew that we would need to be able to watch what we had, because of the neighborhood it’s in. We definitely needed some sort of security, and we wanted safety for the kids in the gym,” says Mary Nicholson Tait, President, Lightkeepers of Henry County. Monitored intrusion detection The solution -Lightkeepers worked with 3xLOGIC and SONITROL to install video surveillance and monitored intrusion detection across the building, parking lot, and perimeter. The system was completed in 2024. A mix of 3xLOGIC indoor and outdoor cameras watches the building inside and out. A 360-degree camera mounted in the center of the gym ceiling gives full visibility of the space, while a camera in the entrance lobby covers the main entry point. Outside, cameras cover each side of the building, including edge-based deep learning cameras that, if required, can detect people and vehicles and identify details such as vehicle make, model, and color. Deep learning analytics A 3xLOGIC VISIX 5MP InterACT camera on the front of the building overlooks the parking lot. The camera combines high-quality video with edge-based deep learning analytics and built-in deterrence features, including sirens, white or red and blue lights, two-way audio for talk-down, and custom messaging. Its analytics can detect loitering, intrusion, and vehicles in prohibited areas, with real-time alerts allowing potential incidents to be addressed early. SONITROL’s patented audio intrusion sensors inside the building provide 24/7 monitored intrusion detection. When a sensor is triggered, SONITROL operators can listen in to verify activity and dispatch police when required. Allowing potential incidents Mary can view live footage remotely using the 3xLOGIC mobile app on her phone and access the cameras from a desktop workstation in her office at the building. The SONITROL app, meanwhile, may be used on-site to arm and disarm the alarm system. “I’ve got the desktop set up in my office at the building, so if we have activities in the gym, we don’t have to go down and see what’s going on. We can just click on the camera and see what’s happening,” explains Mary. Monitored intrusion detection Results gained - Since installation, Lightkeepers can see what’s going on at the building from anywhere. Mary regularly uses the mobile app to keep an eye on the parking lot, and because the team does not keep regular business hours, board members can check the cameras before heading out to their cars at night. “We’ve got a lot of women on our board, and we’re over there at all hours. It’s nice for everybody to be able to see what they’re about to walk into before they leave the building,” says Mary. Late one Sunday night, an intruder forced their way in through the gym door. SONITROL’s monitored intrusion detection picked up the activity, operators called Mary, and police were dispatched. Officers were at the building before Mary, who lives five minutes away, could get there. The intruder fled without taking anything. Low winter temperatures In another incident, during unusually low winter temperatures, copper pipes in the building burst. SONITROL’s sensors detected the noise and alerted the team, and Mary checked the lobby camera on the 3xLOGIC mobile app, where she saw water coming out of the room. This meant the team could get someone to the building quickly and limit the damage. No repainting or structural repairs were needed, and no fittings needed to be thrown away. “Had it not been for the security system, we would not have known about the flooding. I was able to look from my app and see there was water, and we were able to get over there and take care of the problem. It saved us a lot of money in repairs and made a huge difference,” explains Mary. Deter nuisance activity The cameras, the repaired light, and the extra activity on-site have helped deter nuisance activity in the wider area, so the park behind the building is now somewhere local children can play. Residents across the street have welcomed the cameras, reporting fewer people coming into their yards and a decrease in illegal activity. “We were afraid they were going to be so mad at us because there were cameras over here. It was completely the opposite. The neighbours were really happy that they could see the cameras, because it provided safety for their properties. They actually thanked us,” Mary concludes. Additional camera coverage Future plans - Lightkeepers is preparing to partner with the Boys and Girls Club to deliver after-school programs from the building, to bring more young people on-site regularly. The organization is also working with its integrator to assess additional camera coverage and to make full use of the InterACT camera’s siren, talk-down, and custom alarm features to actively deter unwanted activity in the parking lot.

After a major refurbishment, Benghazi Children's Hospital in Libya is preparing to deliver a safer, more connected, and more efficient healthcare experience. By adopting Hikvision's AIoT (AI-powered Internet of Things) technologies, the hospital is enhancing patient care, strengthening communication, supporting medical education, and improving operational efficiency throughout the facility. For more than four decades, Benghazi Children's Hospital has served local communities and families. Covering approximately 11,300 m², the hospital supports a wide range of inpatient and outpatient services. Its recent refurbishment—the first in over 40 years—was more than a maintenance project. The hospital set ambitious goals to modernise the environment, aiming for an 80% improvement in patient satisfaction, response times, and interdepartmental communication. Smart healthcare solution To support these objectives, the hospital has been working with the national distributor Al Motaheda to deploy an integrated Hikvision smart healthcare solution spanning patient communication, medical education, and fire protection. When a patient needs help, every second matters. To help caregivers respond quickly and efficiently, Benghazi Children's Hospital has deployed Hikvision's Nurse Call System across its two inpatient departments: the Observation Department and the Gastroenteritis Department. At 11 ward entrances, Doorway Terminals and LED indicators have been installed. Now, when a patient calls, room number and bed information will immediately appear in the corridor, helping nursing staff identify where assistance is needed. Delivering routine announcements A Nurse Station has been located between the two departments. From a single point, staff will be able to receive, prioritise, and respond to requests from all 11 wards, helping improve efficiency while ensuring patients receive timely attention. Beyond the nurse call system, the hospital also wants to strengthen communication between departments. 40 SIP Phones have been installed across examination rooms, operating rooms, labs, and offices, to keep every department connected for day-to-day coordination. 37 Ceiling Speakers will deliver routine announcements, visitor guidance, and emergency notifications. 26 Ceiling Access Points will provide hospital-wide wireless connectivity, supporting staff communications, connected devices, and future digital healthcare applications. Improving patient satisfaction Together, these systems have are creating a more connected healthcare environment where information reaches the right people at the right time. Hospital management expects the solution to play a key role in improving patient satisfaction while significantly reducing response times once the facility becomes fully operational. As a teaching hospital, Benghazi Children's Hospital also places strong emphasis on clinical education. However, limited space inside operating rooms can make it difficult for large groups of students to observe procedures firsthand. To address this challenge, the hospital has deployed a Live Surgery Broadcasting System built around the Hikvision Video Cart. Dedicated training hall This is a mobile unit that can be moved between all four operating rooms as needed. With appropriate patient consent and in accordance with hospital policies, it captures high-quality video and audio that can be transmitted live to a dedicated training hall. This will allow more medical students to observe operations without disrupting clinical activities or overcrowding operating rooms. In addition to live viewing, surgical procedures can – again, with consent – be recorded and stored for future training purposes. This will enable educators to build a growing library of teaching materials while giving more students access to practical clinical learning experiences. Centralized emergency management Fire safety has also been addressed by installing a comprehensive Hikvision fire protection solution. The system enables early fire detection, rapid alert distribution, and centralized emergency management. 203 Smoke Detectors cover every area of the building, from operating rooms to waiting areas to staff rooms. 24 Audible and Visual Alarms, and Manual Call Points have been placed at the ends of corridors and near all exits, where people moving toward evacuation routes will find them. A Fire Alarm Control Panel at the main reception provides centralized monitoring and control. A microphone at the same location will allow staff to broadcast live evacuation instructions to the entire hospital should it be needed. Effective medical education Together, these capabilities help ensure faster response during emergencies while supporting a safer environment for patients, visitors, and staff. Although the hospital has not yet officially opened following its refurbishment, feedback from hospital management and medical staff has been highly positive. As Taha Grgom, Project Manager at the Hospital put it: "The nurse call system will help us respond to patients more quickly, while the live surgery broadcasting system will open new possibilities for medical education. Together, these technologies are helping us build a more connected and efficient hospital." As Benghazi Children's Hospital prepares to welcome its first patients, it stands as a powerful example of how AIoT technologies can support better care, stronger collaboration, safer operations, and more effective medical education. More importantly, it shows what Tech for Good can mean in practice—using technology to make a meaningful difference where it matters most and help every child receive the care they deserve.

In a move to modernise campus operations and create a smoother experience for students and staff, Peru’s National Agrarian University has deployed a comprehensive Hikvision smart campus solution. From streamlined access to safer transportation, the university is building a safer, connected and efficient campus environment. Universidad Nacional Agraria La Molina (National Agrarian University) is one of Peru's most respected academic institutions. Its 102-hectare campus operates more like a small city than a traditional university, serving eight faculties, around 8,000 students, and about 600 teachers every day. Campus bus operations As campus activity continued to grow, the university wanted a more modern and efficient way to manage daily operations. Previously, visitor and vehicle access relied heavily on manual checks and handwritten records. The university also wanted better visibility over campus bus operations and more effective support for security teams patrolling the large campus area. Their goals included: Streamlining pedestrian and vehicle access Equipping patrol teams with mobile tools to enable them to respond to incidents faster Enhancing safety and visibility across campus bus operations Centralizing management through a single unified platform To achieve these, the university worked with system integrator Consorcio Valtar Security y Serinfortel to deploy a unified Hikvision smart campus solution. Anti-tailgating functions To improve pedestrian access, the university installed 18 Hikvision Pro Swing Barriers (DS-K3B530X) and 28 Face Recognition Terminals (DS-K5671-ZV) at the main and side entrances. The solution helps students and staff move through gates quickly while improving entry management. The facial recognition terminals support recognition speeds of less than 0.2 seconds per user and accuracy rates above 99%. Anti-tailgating functions, which prevent people slipping in behind others, helps ensure only authorized individuals can enter. LED indicators, meanwhile, provide visual indicators guide people through the turnstiles in order to avoid bottlenecks. To further streamline visitor handling, the university deployed a Visitor Terminal (DS-K5032-D) together with an Enrolments Station (DS-K1F600U-D6E-F) at the main entrance. The dual-screen visitor terminal supports paperless registration, helping security staff process guests more efficiently while reducing manual paperwork. At the same time, the enrollment station simplifies face enrollment and user management through an easy-to-use touch-screen interface. Anti-hitting protection mechanisms For vehicle access, Hikvision deployed 6 ANPR Cameras (DS-TCG406-E(S)) together with 6 Barrier Gates (DS-TMG520-H/B) at two campus entrances. The system automatically recognises license plates and manages vehicle access in real time, helping reduce waiting times and improve traffic flow. Staff vehicles can be pre-registered through the university’s app, allowing smoother entry during peak hours. Adjustable barrier speeds and multiple anti-hitting protection mechanisms also help improve operational safety. To further improve the driver experience, LED Screens (DS-TVL224-4-5Y) display welcome messages and vehicle information in real time. Because of the campus’s large size, motorcycle patrol teams play an important role in maintaining daily operations and responding quickly across different areas. To support these teams, the university has deployed 10 Hikvision Ultra Series Body Cameras (DS-MH2311) together with 2 Dock Stations (DS-MDS001). Several features make this solution particularly suitable for mobile patrol work: Clear 2 MP video recording with a wide 129° horizontal field of view Up to 8 hours of recording with a removable 3,300 mAh battery Wireless connectivity for improved communication Real-time positioning support through GPS Centralized charging, storage, and evidence upload through dock stations Professional campus operations The cameras are mainly used during routine motorcycle patrols and when responding to incidents on campus. Recorded footage helps clearly document security procedures and provides reliable records of how situations were handled, supporting transparent and professional campus operations. The university has also upgraded safety across its fleet of 11 campus buses with Hikvision onboard solutions. Each bus is equipped with: Mobile Dome Cameras (DS-2XM6726G1-IM/ND) and Mobile Network Cameras (DS-2XM6522G1-ID): These provide real-time HD video coverage inside and outside the buses, helping operators monitor passenger boarding, alighting, and road conditions clearly. DSM Camera (AE-VC1B1I-ISF(RJ45)): This improves driving safety by detecting critical safety indicators such as fatigue, distractions, and smoking. When potential risks are identified, alerts are immediately issued to the driver, helping encourage safer driving practices during daily routes. Touch Monitor (AE-MW1203): Drivers can view live camera feeds through the monitor. The display automatically switches to relevant views when doors open or when reversing, helping drivers monitor passenger movement and blind spots more effectively. Alarm Button (DS-1530HMI(AE)(O-NEU)): It allows drivers to immediately notify the control center for rapid assistance in emergency situations. Mobile NVR (AE-MN5043(1T/SSD)(RJ45)(O-STD)): This records and stores video while also supporting GPS positioning, geofencing, and route monitoring through Google Maps integration. Campus bus management Every solution, from access control and patrol operations to campus bus management, is centrally managed through HikCentral Professional. From this single platform, the university can: Monitor access events in real time Manage user permissions and visitor records Track campus buses through GIS-based maps Receive centralized alarms and event notifications Coordinate faster responses across campus According to the university, the solution has significantly improved operational visibility and coordination across the campus. “With Hikvision’s smart campus solution, we now have a much more efficient and connected way to manage daily campus operations,” says Joseph Jimy Ordóñez Blanco, General Coordinator of the University’s Security Unit. “From access management to transportation safety, the platform gives our teams better visibility, faster response capabilities, and greater confidence in maintaining a safe environment for students and staff.”

PPLD serves El Paso County across multiple branches — from busy urban libraries to new rural buildings. Its security program, built on systems dating back to the late 1980s, had to keep pace with a fast-growing footprint. “I don’t know that we would have been able to get to the point where we had everything we wanted deployed if we didn’t have tech like this,” said Michael Brantner, Chief Facilities & Security Officer, Pikes Peak Library District. Pikes Peak Library District (PPLD) is one of Colorado Springs’ most-used public institutions, serving the El Paso County community across multiple branches with 780 cameras and more than 150 doors under active monitoring. Their physical security program had been trying to keep pace. Legacy systems dating back to the late 1980s. Cameras and access control systems that didn’t talk to each other. A small team buried under too many alarms. The model was reactive, and it was overdue for a rethink. Legacy security technology The challenge - PPLD’s footprint was growing in a few ways, through new construction and the addition of more rural buildings under its umbrella – and Chief Facilities & Security Officer Michael Brantner needed more visibility across all of the buildings. Combining the systems in place to protect these locations, plus the new ones, required a new approach: bring decades of legacy security technology into a unified, modern operation that could scale alongside the district’s growth. PPLD wanted to centralize the management of the district’s security function, which led Michael to explore the creation of a new security operations center (SOC). “We had a lot of technology that didn’t talk to each other,” Michael said. “We wanted to be able to consolidate it into one place where we can manage what’s happening across our sites.” Consolidate disconnected systems When he started building PPLD’s SOC, the mandate was clear: bring decades of legacy security technology into a unified, modern operation that could scale alongside the district’s growth. But he also needed to consolidate disconnected systems, prove ROI to the C-suite, and staff and train a team that could actually move the program forward. At the time, PPLD’s setup was a patchwork: Cloud-based cameras and access control sitting next to legacy equipment, with no shared view across them Operators who were refreshing screens to see new alarms Panic alerts, door alarms, and intercom calls each requiring a different screen, a different workflow, and a different response Notifications were inconsistent Response times couldn’t be measured No centralized SOC to manage alarms cohesively Residents experiencing homelessness Most incoming alarms generated by PPLD’s ACS were false: held-open doors, cleaning crews, and after-hours trip alarms. But every single alarm still demanded a response from someone on the team, even if there was no safety issue. The complexity was real. PPLD’s branches serve a diverse community that includes families, students, and residents experiencing homelessness across locations with very different security profiles. Some deal with routine access events. Others face behavioral incidents, policy enforcement issues, and higher alarm volumes. Across all of them, public spaces had to stay public, and private staff areas had to stay private. Those boundaries need to be enforced, all day, every day. Access control systems The solution - As Michael stood up PPLD’s new SOC, HiveWatch stood out as a way to centralize the security program and allowed the growing team a single, active view of every incident across every system. The platform connected directly to PPLD’s existing cameras and access control systems. This meant operators were able to view door alarms, access events, video clips, panic alerts, and environmental sensors (including vape and smoke detection) in one single incident list in a web-based browser. Instead of refreshing screens and guessing at what they might have missed, operators could see every active incident and incoming alarm the moment it surfaced and respond from the same place. Killing redundant alerts Alarm deduplication cut volume on day one, killing redundant alerts before they hit an operator. Noisy doors became easy to spot and fix. When specific issues surfaced, like a flood of DHO alarms, for instance, the system helped the SOC adjust alarm timing. That adaptability, tuned to actual door and user behavior without loosening security, kept the program compliant and cut the alarm load the SOC had to manage. Operators, along with field officers, made use of the mobile app, too. The team’s ability to acknowledge, investigate, and resolve incidents from anywhere in the building was a huge benefit. Security triage stopped being tied to a desk. Response became coordinated, in real time, across every location. Standard operating procedure But the shift went beyond operations. For the first time, PPLD’s leadership had detailed data on its security program: response times, alarm volumes, and incident trends. Michael could walk into a leadership meeting with numbers that proved the program’s value. He could spot which operators were hitting targets, which branches were generating outliers, and where more operator or officer training was needed. “We aren’t just operators staring at cameras anymore. HiveWatch lets us cut through the noise, focus on what matters, and actually expand what our team can do,” said Joe Vickous, SOC Supervisor, Pikes Peak Library District. Single active queue Every shift, PPLD’s operators manage a single active queue. Door forced at a branch. Vape detection in a restroom. Held-open back door after a cleaning crew shift change. An intercom call from a side entrance. All surfaced in one view without screen-refreshing or system-hopping. When an access control alert comes in, the response is immediate. The operator sees the alert with the connected camera feed in the same view, follows the built-in standard operating procedure (SOP), and, if warranted, dispatches the field officer with full context from within the platform. Audible alerts mean the SOC can run HiveWatch in a single tab without sacrificing a full monitor, freeing operators to handle more important work like footage pulls, door testing, and badge creation between incidents. Badge creation between incidents “HiveWatch makes the operators more flexible and makes them more versatile, as well,” Michael said. “They’re able to focus on something else and it will prompt them and say, hey, pay attention. We have to interact. They can check it out, dispatch somebody, and then go back to what they’re doing.” And when something crosses the public-private line, such as a patron drifting into a staff-only corridor, the platform surfaces it in real time. The operator sees it, the field officer responds, and the boundary holds. Public stays public. Private stays private. No guessing. No discovery after the fact. Incidents are caught early, handled according to protocol, and documented with a full record attached. “The biggest benefit for us is having the tool that sorts through the noise and focuses the operators on the notifications that are actually coming in that need attention,” Branter said. Standard operating procedure The results: Median time to acknowledge incidents of 21 seconds and median time to resolve of 28 seconds using HiveWatch. Scaled the SOC from 2 operators to 6 plus a manager, with the platform absorbing the workload increase. Extended the SOC beyond the control room with mobile triage and response for field officers and operators. Equipped leadership with real-time data on acknowledgement and response times, and alarm trends, turning a reactive program into a proactive, measurable one. Positioned the program to absorb 800 additional cameras and access points without proportional headcount growth.

Hochiki Europe, working with Italian installer ELE.CO SRL, has completed the installation of a combined fire detection and emergency lighting system at a KOKO Emporio store in the Turin area. KOKO Emporio is a well-established value and family retailer with several stores across Torino and Moncalieri, offering home, clothing and lifestyle products to shoppers across the region. The store in question spans 800 square metres across a ground floor and basement. As with any busy retail floor, aisles and stock displays can make it harder for customers to find the nearest exit in an emergency, particularly those unfamiliar with the layout. The store needed a fire detection system that met current compliance requirements alongside emergency lighting capable of guiding staff and customers to safety during a fire or power failure. ESP intelligent fire detection ELE.CO SRL specified Hochiki's FIREscape+, which combines ESP intelligent fire detection with emergency lighting on a single four loop control panel. ALN-EN smoke sensors with adjustable sensitivity were installed throughout to reduce false alarms, and EN 54-23 compliant visual alarm devices were added to make alarm activation clearly visible to every occupant, working alongside ESP sounders to give full audible coverage. The basement presented a particular challenge. It houses separate retail and warehouse areas with long aisles, stock boxes and stairways, so the emergency lighting needed to keep the space illuminated and evacuation routes clear during a power outage. High power luminaries connected to the FIREscape+ panel now cover this area, guiding staff and customers to the nearest exit if the power fails or an evacuation is needed. Multi-site retail environment Ervin Peza, owner of ELE.CO SRL, said: "Hochiki's FIREscape+ system reduced installation costs significantly compared to installing two separate systems, making it the right choice for this application. Combining fire and emergency lighting on a single panel and loop reduces cabling, which simplifies both installation and maintenance." He added: "KOKO's new integrated fire and emergency lighting system means the store can run smoothly, day to day, with customers confident that any fire will be picked up quickly and that they can find their way to safety. Hochiki's addressable technology means the system can pinpoint the exact location of an incident and guide people along the safest route out, even if the power goes down." The installation shows how a combined, addressable fire and emergency lighting system can meet the practical demands of a busy, multi-site retail environment, giving store owners one system to manage rather than two.

Carrefour Brazil is one of the largest retail groups in Brazil and Latin America, operating more than 1,000 stores and serving a high volume of customers every day. Its Pamplona store in São Paulo, for example, located in one of the city’s busiest areas, greatly reflects the operational complexity faced by modern retailers: maintaining safety, reducing losses, improving efficiency, and delivering a better shopping experience at scale. Limited real-time visibility Challenges - Carrefour needed to address several key pain points. Manual processes and disconnected systems created risks of inaccurate alarms and inconsistent service. High customer traffic increased exposure to theft, fraud, and checkout losses, while traditional investigation methods made incident tracing slow and inefficient. At the same time, limited real-time visibility into customer flow, queues, inventory, and in-store behavior made it difficult to optimize staffing, replenishment, store layout, and checkout efficiency. Unified retail ecosystem Solutions - To meet these needs, Dahua provided an integrated smart retail solution combining video surveillance, AI analytics, alarm linkage, customer flow analysis, and digital in-store technologies. The solution was built around Dahua’s DSS PRO platform, Retail Loss Prevention IVD/IVSS, Retail NVR, AcuPick intelligent search, people-counting cameras, Electronic Article Surveillance (EAS) integration, alarm host, access control, electronic shelf labels, and digital signage. These systems work together to connect security, operations, and customer engagement within a unified retail ecosystem. Integration of video surveillance For loss prevention, Dahua’s video analytics can detect suspicious behaviors such as item concealment and issue real-time alerts to security staff. Integration with EAS and intrusion alarms provides immediate contextual information for each alarm, helping teams respond faster and more accurately. High-value merchandise is further protected with anti-theft tags, while restricted storage areas are secured through access control. In the event of an incident, AcuPick and intelligent video analysis can be used to track the movement paths of customers or employees, significantly reducing investigation time. The solution is also projected to checkout and self-checkout security. Cart analysis can help to identify unscanned items, while intelligent barriers at self-checkout stations prevent customers from exiting before completing payment. Looking ahead, the integration of video surveillance with transaction data can further support automated sales auditing, discrepancy detection, and faster resolution of operational variances. Data-driven store operations Beyond security, Dahua’s smart retail technologies support data-driven store operations. People-counting cameras, customer flow analysis, queue monitoring, and heatmap analysis provide Carrefour with insights into occupancy, peak hours, movement patterns, high-traffic areas, and dwell time. This can help to optimize staff scheduling, product placement, promotional planning, and checkout lane management. Shelf replenishment monitoring enable detection of low stock or abnormal product removal and triggers real-time alerts, helping prevent lost sales and improving product availability. Dahua also enhanced the in-store customer experience through electronic shelf labels and digital signage. Electronic shelf labels enable automatic price updates, reduce manual errors, and support promotional communication. Digital signage and point-of-sale displays provide product information, strengthen brand presence, and create a more interactive shopping environment. Interactive shopping environment Results - As a result, Carrefour Brazil now operates in a safer, more efficient, and more connected retail environment. The project improves operational visibility, strengthens loss prevention, accelerates incident analysis, supports better staffing and merchandising decisions, and enhances the customer journey from entrance to checkout. Through this collaboration, Dahua helped Carrefour transform traditional store management into an intelligent retail model powered by integrated security, analytics, and digital engagement.

Artificial intelligence (AI) transforms physical security from a passive, reactive function into an autonomous, proactive one. Rather than just alerting human guards after an event, new systems driven by intelligent agents analyze, decide, and act in real time—handling routine deterrence, investigating anomalies, and reducing alarm fatigue. We asked our Expert Panel Roundtable: What is agentive (or agentic) AI and how is it changing physical security?

There is safety in numbers, or so the expression goes. Generally speaking, several employees working together tend to be safer than a single employee working alone. Even so, some environments require that workers complete their jobs alone, thus presenting a unique combination of security vulnerabilities. The U.S. Occupational Safety and Health Administration (OSHA) defines a lone worker as “an employee working alone, such as in a confined space or isolated location.” We asked this week’s Expert Panel Roundtable: How can security technologies help to protect "lone workers?" 

As physical security technologies become more complex, it is incumbent on the dealer/integrator to have the skills and expertise needed to ensure that a system operates smoothly. The value of integrators increasingly rests on the skill sets they bring to bear when installing a system. If the skills are missing, there is a problem. We asked this week’s Expert Panel Roundtable: What missing skills among security integrators can cause problems for customers?