Video analytics

Illumia, a provider of identity, commerce, payments, and foodservice technology across higher education, healthcare, and corporate campuses, announces an expanded partnership with HID, a worldwide pioneer in trusted identity and access control solutions, that will make it easier and less expensive for colleges and universities to adopt mobile credentials. The agreement brings HID mobile credential support to IDX, Illumia’s cloud platform, building on its existing availability with CS Gold, Illumia’s on-premises campus card system. As a result, CS Gold customers adopting HID mobile credentials now can later migrate them to IDX. Physical access infrastructure For schools, the partnership helps separate two technology decisions that have traditionally been closely linked: modernising the campus card platform and replacing physical access infrastructure. Where compatible HID readers are already installed, institutions can preserve that investment as they transition to IDX, reducing the cost, complexity and disruption associated with migrating to mobile. "Campus technology rarely changes all at once," said Don Smith, Senior Vice President & General Manager, Higher Education. “Illumia’s expanded HID partnership gives schools more options to cost effectively adopt mobile credentials today with Illumia’s IDX and CS Gold platforms while giving them the flexibility to move to the cloud on their own timeline.” Door access infrastructure The agreement comes as colleges and universities accelerate their cloud plans. Illumia’s 2025 Higher Ed Innovation Index, developed with Hanover Research, found that 80% of institutions planned to fully migrate their core systems to the cloud within 24 months. "Door access infrastructure is built to last, and campuses need technology that works with what they already have,” said Daniel Gundlach, Vice President PACS, North America at HID. “By extending HID mobile credential support to IDX, we’re ensuring our ecosystem continues to support existing readers while expanding how institutions can deliver secure, mobile-first access experiences.”

Nice, an international technology group and a global pioneer in Smart Living Solutions, today announces the OSCO 725, a new slide gate operator engineered to provide reliable, flexible access control for medium- to large-scale commercial properties. Designed for applications including trucking and distribution facilities, corporate campuses, secured storage yards and other sites requiring controlled vehicle access, OSCO 725 combines proven gate operator technologies with advanced controls that simplify installation, configuration, monitoring and ongoing service. Built as the next generation of the Nice commercial slide gate operator portfolio, OSCO 725 brings together key capabilities from the legacy Linear and HySecurity platforms in a single, modern solution. For existing installations, its retrofit-ready design offers an especially important advantage: OSCO 725 uses the same 30-inch post spacing and mounting profile as the products it replaces, allowing installers to reuse existing posts rather than rebuild the gate operator foundation. An available accessory also enables retrofits from select competitive products. High-voltage configurations “OSCO 725 was designed around what installers and commercial customers need from a modern gate operator: rugged performance, straightforward installation and greater visibility into the system throughout its lifecycle,” says John Allen, Director of Product Management. “By combining proven technologies from our established gate operator platforms with the advanced capabilities of the SmartTouch 725 controller, we’re giving installers a powerful, versatile solution that’s easier to deploy, configure and support.” Available in four primary models, the OSCO 725-15, OSCO 725-25, OSCO 725-50 and OSCO 725-25F, accommodate gates weighing up to 1500, 2500, and 5000 pounds, respectively, with the 25F model moving gates up to 2500 pounds at twice the speed of the standard version for applications where faster vehicle throughput is required. Select models are also available in high-voltage configurations supporting 460-volt and 575-volt three-phase power. Diverse commercial applications OSCO 725 incorporates a brushless DC motor drive and battery backup, enabling the gate to continue opening and closing during a power outage. A manual gearbox release also allows manual operation when needed. Optional features like a cabinet heater for extremely cold environments and a remote manual release for fire department access further expand the platform’s suitability for diverse commercial applications. A key differentiator is the operator’s flexible, retrofit-ready post-mounted design. The enclosure can be elevated above ground level, which helps keep it accessible during snow accumulation and better protects it in locations susceptible to standing water or flooding. The tightly sealed enclosure is also designed to limit access by rodents, snakes, insects and other pests that can damage internal components. Commercial gate applications At the heart of OSCO 725 is the SmartTouch 725 controller, bringing advanced control, safety, connectivity and diagnostic capabilities to commercial gate applications. Five programmable safety inputs accommodate devices such as photo sensors and vehicle detectors, while native support for Nice vehicle detection technology simplifies configuration directly through the controller. Native communication between operators simplifies more sophisticated applications, including synchronized bi-parting gates. The controller can coordinate two operators so gate panels reach their open and closed positions together. It can also integrate with other Nice access solutions, such as barrier arms, as well as ancillary devices including traffic lights. Extensive programmable settings Bluetooth connectivity provides installers with smartphone-based access for setup, diagnostics and configuration. The app simplifies management of the controller’s extensive programmable settings and allows installers to save a known configuration, reload it when servicing an operator, or copy settings from one gate to another, helping streamline commissioning across sites with multiple access points. An integrated Ethernet connection extends management beyond the gate itself. Through an embedded web interface, authorized users can remotely monitor the operator, adjust settings and perform functions such as firmware updates. The system can also generate alerts when conditions affecting site security occur, such as a gate failing to close. Ongoing gate maintenance For installing dealers, that remote visibility can help transform ongoing gate maintenance and service. Technicians can diagnose many issues before dispatching a service vehicle, arrive on site with a better understanding of the problem and potentially reduce unnecessary truck rolls. The capability also creates opportunities for dealers to offer ongoing remote monitoring and maintenance services. For end-users and facility or security teams, remote monitoring provides greater visibility into the status of a critical vehicle access point and enables alerts when an issue requires attention. OSCO 725 is also compatible with established Linear RF accessories, providing continuity for customers and installers already familiar with the technology while bringing those capabilities together with Nice’s latest gate operator and control technologies. By combining heavy-duty performance with flexible installation, intelligent controls and remote service capabilities, OSCO 725 gives installers a more efficient way to deploy and support commercial gate systems throughout their lifecycle. For property owners and facility managers, it provides a reliable, serviceable access control solution designed to keep critical entry points operating securely and efficiently.

VAST Data, the AI Operating System company, announces a new Agent Sandbox Foundation Stack with NVIDIA, built with NVIDIA NemoClaw and NVIDIA OpenShell to provide the scalable, persistent data infrastructure enterprises need to securely run thousands of AI agents and sub-agents in production. The stack helps enterprises and AI service providers deploy, operate and scale governed agent environments without tying persistent state to ephemeral compute. As enterprises deploy increasingly autonomous AI agents, infrastructure requirements change fundamentally. Agents can spawn other agents, execute tasks and disappear, with fleets creating and destroying thousands of isolated workspaces an hour. Autonomous AI agents Long-running agents may also work across multiple sessions, sleeping, resuming and delegating tasks to short-lived subagents along the way. Whether an agent runs for minutes or across multiple sessions, its progress, working data and memory need to persist independently of any individual sandbox or compute node – remaining available, governed and auditable wherever execution resumes. The VAST Foundation Stack for Governed Agent Sandboxes addresses this challenge by combining NVIDIA’s secure agent runtime technologies with the persistent infrastructure and data services of the VAST AI Operating System. NVIDIA OpenShell provides isolated execution and policy enforcement around agent activity, while VAST provides persistent state, scalable agent workspaces, integrated data services and operational records across the agent lifecycle. Individual compute nodes By decoupling persistent agent state from individual compute nodes, the architecture allows agents to pause, resume or move across eligible infrastructure without losing their progress, working data or context. Together, these capabilities let agent compute stay ephemeral while agent state stays durable. “Every enterprise that puts an agent into production will eventually need to answer what it did and why it did it,” said Alon Horev, CTO and Co-Founder at VAST Data. “An agent might exist for minutes, spawn thousands of other agents and then disappear, but its work has to persist and its actions have to stay understandable long afterward. Together with NVIDIA, we’re showing how the VAST AI Operating System provides the durable foundation underneath secure agent environments, so organizations can scale agentic systems without sacrificing persistence, governance or control.” Providing repeatable implementations “As AI agents take on more complex work, enterprises need infrastructure that can support secure execution while preserving the data, context and state agents depend on across their lifecycle,” said Kari Briski, Vice President of Generative AI Software at NVIDIA. “By combining NVIDIA NemoClaw and OpenShell with the VAST AI Operating System, organizations can build agent sandbox environments that are secure and designed to scale from experimentation to production.” The new Agent Sandbox Foundation Stack extends VAST’s work with NVIDIA to provide repeatable implementations for production AI. Rather than requiring organizations to assemble separate infrastructure for agent execution, data access, persistence and observability, the architecture brings these capabilities together across three layers: Infrastructure Built for Dynamic Agent Environments: The VAST AI OS provides persistent infrastructure underneath NVIDIA NemoClaw and OpenShell environments, supporting the rapid creation and removal of isolated agent workspaces. As new agent tasks are initiated, VAST uses zero-copy clones to rapidly provision persistent storage for isolated OpenShell sandboxes without creating full copies of the underlying data. This architecture is built for performance – designed to operate at the speed of agents by supporting efficient and highly dynamic workflows in which agents can spawn, disappear and reappear as reasoning demands change. Persistent State and Integrated Agent Data Services: Agent compute may be temporary, but its work does not have to be. VAST separates agent execution from persistent state so agents can pause, resume or transfer work across agent environments without starting from scratch. VAST DataStore provides persistent sandbox storage and snapshots, while VAST DataBase and integrated data services provide shared access to agent memory, context and enterprise data – allowing isolated agents to work concurrently from common data without creating redundant copies. Real-Time Observability and Durable Auditability: As agents take more independent actions, platform teams need visibility into both what is happening now and what happened after an agent disappears. The VAST Management System provides real-time visibility into data flows and infrastructure activity across agent fleets, while VAST DataBase maintains a persistent record of agent activity, including tool calls, prompts, tokens, costs and decisions. Together, these capabilities give teams operational visibility into active agent environments and a durable audit trail across increasingly complex multi-agent workflows. Changing compute environments VAST introduced Foundation Stacks to help organizations turn NVIDIA AI Blueprints into repeatable, production-ready AI implementations on the VAST AI OS. Initial Foundation Stacks showcased the use of VAST DataEngine for enterprise research assistance with NVIDIA Nemotron and video intelligence using NVIDIA Cosmos reasoning models and NVIDIA Video Search and Summarisation. The Agent Sandbox Foundation Stack extends that model into the infrastructure required to operate autonomous agents themselves in secure, governed sandbox environments. At NVIDIA GTC Berlin, VAST will demonstrate the Agent Sandbox Foundation Stack through a governed multi-agent workflow running NVIDIA NemoClaw and OpenShell on the VAST AI OS, showing agents dynamically spawning, accessing persistent data services and maintaining state across changing compute environments. VAST also plans to make the automated deployment available through a public GitHub repository, providing a reproducible path for organizations to deploy the architecture in their own environments.

Nutanix, a hybrid cloud pioneer and AI platform company, announces it is collaborating with NVIDIA, Supermicro, and Netris to deliver new AI solutions that aim to simplify the infrastructure required for production AI and help organizations bring new capabilities online faster. By combining Nutanix software with hardware, networking, and silicon technologies, Nutanix aims to help enterprises deploy and operate production AI environments more efficiently at scale. As organizations push more AI workloads into production, capacity constraints and operational complexity can make it harder to move quickly. Nutanix and its partners are working to simplify that path to make it easier to bring AI into production faster and accelerate time to value. Increasingly demanding workloads “Organizations need more than just advanced infrastructure to move agentic AI into production – we believe they need an AI cloud that simply connects intelligence, agents, enterprise applications, and data across CPUs, GPUs, virtual machines, containers, on-premises environments, and cloud,” said Thomas Cornely, Executive Vice President, Product Management at Nutanix. “Through our collaboration with NVIDIA, Supermicro, and Netris, we plan to help customers accelerate deployments of agents and AI services on a unified platform with built-in security, performance, and governance.” As enterprises adopt agentic AI at scale, they are anticipated to require infrastructure that can support increasingly demanding workloads across the full AI environment, not just GPU-intensive tasks. Agentic applications combine inference with tool calls, code execution, retrieval, orchestration, and outcome processing. Advanced AI agents As these workflows scale, CPU performance is expected to become essential for completing the steps between GPU operations, reducing delays, and maximising overall AI-factory efficiency. To help ensure this critical compute path does not become a bottleneck, Nutanix plans to work towards Day Zero support for NVIDIA Vera CPUs, beginning with NKP Bare Metal, to serve highly performance-sensitive AI factory environments, with planned expansion to virtualised Nutanix environments. By pairing NVIDIA’s purpose-built CPU architecture – engineered for high-speed agent execution and reduced latency – and NVIDIA OpenShell to create safe, private runtime environments for agents with NKP, the collaboration aims to give organizations a predictable, high-performance foundation for their most advanced AI agents. Cloud operating model This support is expected to give organizations greater flexibility in how they safely deploy agentic AI while simplifying operations with a consistent cloud operating model. Nutanix and Supermicro Take on Runaway AI Costs with Jointly Engineered System for Private Inference. Nutanix and Supermicro are announcing plans for a jointly engineered AI infrastructure solution built around validated Supermicro server systems. By combining Supermicro servers and NVIDIA GPUs with Nutanix Agentic AI (NAI) and NVIDIA Spectrum-XTM Ethernet networking, the solution is being designed to help reduce custom configuration and integration delays, with the goal of helping enterprises get on-premises GPU capacity and take on runaway AI costs with a jointly engineered system powered by NAI for private inference. High-throughput data workflows As AI requirements grow, the architecture is expected to be able to scale GPU capacity to meet evolving requirements. Nutanix provides an AI cloud control plane and AI storage purpose-built to support workloads with resilient operations and high-throughput data workflows. Customers are anticipated to gain a predictable path to deploy, manage, and scale AI inference workloads without assembling and integrating a complex, multivendor environment. For NVIDIA Cloud Partner reference architectures, multitenancy is designed to extend across AI infrastructure, including the physical network. In dynamic neocloud environments, operators also must be able to automate network access and ensure tenant isolation as customers, workloads, and GPU allocations change. Nutanix and Netris are collaborating to automate this network-layer multitenancy and turn complex GPU infrastructure into secure, cloud-like, multitenant AI services. Virtualised AI infrastructure Nutanix will provide the foundation for compute across virtual machines, containers, CPUs, and GPUs, along with storage, security, Kubernetes, and Nutanix Agent Gateway, model-as-a-service and AI platform services. Netris will provide network automation, abstraction, and multitenancy across the physical network fabric, with hard isolation (enforced on networking hardware) from compute through the physical network. Together, the integrated solution will provide a cloud-like self-service operating experience across bare-metal and virtualised AI infrastructure, helping providers instantly onboard tenants and deliver AI services more efficiently. “Nutanix built its enterprise business by simplifying virtualised infrastructure and more recently containerised workloads," said Don Gentile, Analyst, Data Platforms and Resiliency, HyperFRAME Research. "Now it's extending that expertise to bare- metal AI systems, agent execution, private inference, and multitenant cloud services. Through innovation and targeted partnerships, Nutanix is advancing a common cloud operating model that enterprises and service providers have long wanted: consistent management, automation, and choice across increasingly diverse infrastructure.” Cloud operating model “AI agents need fast CPUs to execute code, use tools and process data between model calls,” said Hannah Coutand, Director of Product Marketing for Vera CPU at NVIDIA. “NVIDIA Vera is purpose-built for this work, and our collaboration with Nutanix will help enterprises bring high-performance agentic AI into production with a consistent cloud operating model.” “Digital and AI transformation is a fundamental pillar supporting the Kingdom’s ambitions to build cutting-edge, resilient, agile, and data-driven public services. Through our collaboration with Nutanix, we look forward to exploring how Nutanix’s platform for hybrid cloud computing across multiple environments can support the adoption of AI technologies and help develop national capabilities in advanced cloud and AI technologies.” – Ministry of Environment, Water and Agriculture (MEWA) - Kingdom of Saudi Arabia.

Control room operators face a tricky and ever-growing list of responsibilities. Every day, they're expected to monitor dozens, sometimes hundreds, of camera feeds, identify suspicious behavior, and respond quickly when something goes wrong. Add in a constant stream of alerts, many of which turn out to be false alarms, and it's easy to see how even the most experienced security professionals can become overwhelmed. Indeed, in the UK alone, there are an estimated six million CCTV cameras, with around one in 70 publicly owned. A human, or team of humans, cannot possibly be expected to keep on top of every single one of those devices without missing something. Monitoring multiple locations Recently, the UK's Centre for the Protection of National Infrastructure (CPNI), now part of the National Protective Security Authority (NPSA), uncovered a challenge faced by many security operators known as the vigilance decrement, where concentration can begin to decline after just 20 to 30 minutes of continuous monitoring. A study of 42 professional CCTV operators, published in Applied Ergonomics, found that they detected only around half of the target behaviours during a 90-minute video review task. For security teams working long shifts and monitoring multiple locations, this presents a significant challenge. Missing an incident can have serious consequences, yet expecting operators to maintain the same level of concentration throughout an entire shift simply isn't realistic. Identifying unusual activity The result is that operators spend less time reviewing routine activity, have faster responses to threats This is where AI-powered video analytics makes a huge difference. By automatically identifying unusual activity, filtering out unnecessary alerts, and highlighting events that require attention, AI can help operators work more effectively and focus on what matters most. The result is that operators spend less time reviewing routine activity, have faster responses to potential threats, and there are more opportunities for security professionals to apply their experience and judgement where it's needed. Breaking the cycle of alarm fatigue Traditional video surveillance systems have often relied on motion detection and basic rules to identify potential security incidents. While useful, these technologies can also generate large volumes of unnecessary alerts. A tree branch moving in the wind, an animal crossing a perimeter, or a delivery vehicle stopping near a building can all trigger a false alarm. Now imagine this happening across hundreds of cameras, throughout an eight- or twelve-hour shift. Operators can quickly find themselves dealing with a seemingly endless queue of notifications, most of which turn out to be harmless. Over time, this can lead to alarm fatigue. When operators are repeatedly presented with false alarms, they may become less responsive to new notifications, increasing the risk of a genuine threat being overlooked. This isn't a reflection of their professionalism or experience, but a natural response to information overload. Persistent alarm fatigue It can also make it harder for organizations to demonstrate the value of their security investments The consequences extend beyond missed incidents. Persistent alarm fatigue can contribute to stress and burnout, slow response times, and place additional pressure on security teams that may already be stretched. It can also make it harder for organizations to demonstrate the value of their security investments. Simply adding more cameras, hiring more operators, or increasing training isn't necessarily the answer. Instead, organizations need to consider how technology can reduce the volume of information operators must process and ensure that the alerts reaching them are genuinely useful. Smarter alerts, faster responses AI-powered video analytics is helping to address this challenge by making surveillance systems more intelligent and proactive. Rather than simply detecting movement, modern analytics can identify objects, recognize patterns and provide greater context around what's happening within a camera's field of view. For example, a traditional system might generate an alert every time something moves near a perimeter fence. AI analytics can help distinguish between an animal passing through, an authorized vehicle following its usual route, and someone loitering near a restricted entrance. Operators can then focus on the activity that warrants further investigation, rather than spending valuable time reviewing harmless events. Providing relevant information The system identifies potential concerns and provides relevant information Advances in vision-language models are taking this a step further. These technologies can interpret and describe activity within video footage, helping operators understand what's happening without having to manually review every camera feed. This shift is gaining momentum across the industry. The Security Industry Association's 2026 Security Megatrends report identifies the automation of security operations centres as a leading trend, highlighting opportunities for AI to support activities such as incident reporting and filtering lower-priority alarms. Importantly, the aim isn't to remove operators from the process. Much of this technology takes an agentive AI approach, where AI assists human decision-making rather than acting independently. The system identifies potential concerns and provides relevant information, while operators remain responsible for assessing situations and deciding how to respond. For security teams, this creates an opportunity to improve situational awareness while reducing the pressure of constant monitoring. Identifying threats before they escalate One of the most valuable capabilities of advanced video analytics is its ability to identify unusual behavior and patterns over time. Consider a vehicle driving slowly around a business park. On its own, this might not appear suspicious. However, if the same vehicle returns on three consecutive evenings, stopping near a restricted entrance before leaving, it could indicate someone assessing the site's security arrangements. An operator working a single shift might not notice the connection, particularly if the activity occurs across several days. But AI analytics can help identify recurring patterns and flag them for further investigation. Identifying recurring incidents These capabilities also offer benefits beyond immediate security monitoring The same principle applies to other scenarios. Someone repeatedly approaching a restricted area, a person remaining in an unusual location for an extended period, or a vehicle traveling against the normal flow of traffic could all trigger an alert based on predefined rules or patterns of behavior. With the right information available, security teams can investigate potential threats earlier and respond before an incident escalates. These capabilities also offer benefits beyond immediate security monitoring. Analytics can help organizations identify recurring incidents, understand how spaces are being used and make more informed decisions about patrols, staffing and security resources. For multi-site organizations, this can be particularly valuable, allowing security teams to identify trends across locations rather than treating each incident in isolation. Making investigations faster and more effective AI can also significantly reduce the time required to investigate incidents after they occur. Reviewing hours of recorded CCTV footage has traditionally been a painstaking process. Investigators may need to search through multiple camera feeds to identify a person, vehicle, or sequence of events, often under considerable time pressure. Advanced video search and synopsis technologies can simplify this process by condensing lengthy recordings into a much shorter visual summary. Events and objects captured at different times can be presented together, allowing investigators to identify relevant activity quickly while retaining links to the original footage and timestamps. For example, an investigator looking for a particular vehicle can search footage based on characteristics such as color, type, or direction of travel, rather than watching hours of recordings manually. For police forces, local authorities and private security teams, these capabilities can make a substantial difference to investigations, reducing the time spent searching through footage and helping important evidence reach the right people sooner. Demonstrating the value of intelligent video AI-powered video analytics can also deliver a measurable return on investment Alongside the operational benefits, AI-powered video analytics can also deliver a measurable return on investment. An Omdia survey of 140 end users across North America and Europe found that more than 85% of organizations achieved a return on investment from their video analytics deployments within one year. More than half reported seeing returns within the first six months, with banking and manufacturing reporting particularly strong results at 95% and 90%, respectively. Evidently, intelligent video can deliver value far beyond traditional surveillance. Improved incident detection Reducing false alarms can help operators use their time more effectively, while faster investigations can lower the resources required to review footage. Improved incident detection and response can also help organizations minimize disruption, protect assets and strengthen their overall security posture. There are benefits for installers and integrators too. By introducing advanced analytics into existing video management systems, they can help customers get more value from their security infrastructure, while offering additional capabilities that can evolve alongside operational needs. Rather than viewing video surveillance solely as a cost centre, organizations can increasingly use the intelligence it provides to improve security performance and inform wider operational decisions. Keeping people at the heart of security As AI becomes more capable, questions around human oversight and decision-making will become increasingly important. There is a distinction between AI that supports operators and fully autonomous systems that can independently make decisions and take action. While more agentic AI capabilities are emerging, many of the most practical applications in video security today are designed to assist people, not replace them. Making informed decisions This combination of machine intelligence and human experience is where the greatest value lies For instance, AI might identify a person behaving unusually near a restricted entrance, but an operator can assess the wider context, determine whether there is a genuine threat and decide on the appropriate response. Similarly, analytics can highlight a vehicle that has repeatedly visited a site, but it takes human judgement to establish whether that behavior is suspicious or entirely legitimate. This combination of machine intelligence and human experience is where the greatest value lies. AI can continuously analyze large volumes of footage, identify patterns across different cameras and shifts, and highlight events that deserve attention. Operators bring the contextual understanding, professional judgement and accountability needed to make informed decisions. An operator reviewing five relevant alerts, each supported by useful information, is in a much better position to respond effectively than someone attempting to process 50 notifications with little context. The goal is therefore not to automate every aspect of security, but to create a more effective partnership between people and technology. A smarter approach to security operations The demands placed on security teams are unlikely to decrease. Organizations are managing larger sites, more cameras and increasingly complex security environments, often without equivalent increases in staffing or resources. At the same time, the limitations of human attention remain unchanged. No matter how experienced or well-trained an operator may be, maintaining constant concentration across dozens of video feeds is an unrealistic expectation. AI-powered video analytics offers a way forward. By reducing unnecessary alerts, identifying suspicious patterns, and accelerating investigations, these technologies can help security teams become more proactive, efficient, and effective. Most importantly, they allow operators to concentrate on what they do best: understanding situations, making informed decisions and protecting people and places. The future of security isn't about replacing the people behind the screens. It's about giving them the intelligence and tools they need to do their jobs better.

One of the best business lessons I learned didn’t come from business journals or the boardroom. It came from a biography: Steve Jobs by Walter Isaacson. If you haven’t read it, you should! The book covers the full arc of Jobs’ career, and while many of the most talked about lessons center on his entrepreneurship, perfectionism, and brand building, the one that has stayed with me is his philosophy of design. Digital music player market I don’t mean design in the sense of aesthetics, although Apple certainly became famous for that. I mean design as an understanding of how people interact with technology. Examples of Jobs’ design philosophy appear throughout the book, but the chapters about the birth of the iPod are particularly compelling. If you’re too young to remember the era of downloading songs from Napster and loading them onto MP3 players, here’s the context. By the early 2000s, Apple was entering a crowded digital music player market. Companies like Sony, Creative and Rio had already introduced devices that were packed with technical innovation, and they were growing in popularity among college students, commuters, and early adopters who preferred the solid state devices over larger, glitchy portable CD players. Yet Jobs believed the entire MP3 player category possessed a fundamental flaw: all the products were too complicated. More intuitive experience In envisioning the iPod, Jobs became obsessed with creating a more intuitive experience Actually, Jobs used more blunt language. He said they all “were deeply flawed.” They held only a handful of songs, and users struggled with frustrating menu trees to access their most basic functions. As for the software managing the devices’ music libraries? To quote the book, “Only a genius could figure out half of their features.” Jobs saw something the existing manufacturers didn’t. Their MP3 players weren’t offering the one thing that consumers wanted the most, an easier way to listen to music. In envisioning the iPod, Jobs became obsessed with creating a more intuitive experience. He challenged his team to eliminate unnecessary complexity and established a simple rule for the user interface: if a person wanted a song or a function, they should be able to get there in no more than three clicks. Incredibly sophisticated technology The result was a product that felt completely different to use. Apple took an incredibly sophisticated technology and made it approachable. The complexity didn’t disappear; it was just moved behind the curtain where the user didn’t have to think about it. Despite being a late entrant to the MP3 industry, Apple quickly became the dominant manufacturer in the category because of the iPod’s unmatched usability. Plenty of successful companies cared about usability, but Jobs made simplicity a strategic priority. While competitors were adding features and complexity, Apple was asking, “How do we make this easier?” Twenty years later, I still think that’s one of the most important questions any technology company can ask, and one that is shaping the next generation of security technology. Stronger security practices Making a system more secure meant adding steps, procedures, and user responsibilities Which brings me to where I spend most of my time these days: Identity verification. For years, the security industry viewed convenience and security as competing priorities. Making a system more secure meant adding steps, procedures, and user responsibilities. What’s exciting about modern biometrics is that we’re increasingly able to improve both simultaneously. In many ways, we’re applying Jobs’ three click philosophy to identity verification, reducing the interaction required from the user without compromising the strength of the underlying security. And by reducing friction, organizations can implement more frequent identity verification that supports stronger security practices. Biometric authentication experience The simplicity of the biometric authentication experience can make people underestimate the sophistication of the technology behind it. Just as iPod users didn’t have to think about file formats, manually transferring songs to their device, or navigating cumbersome menus, users of modern biometric systems don’t have to think about how their faces, palms, or fingerprints are converted into encrypted, mathematical templates that cannot be reverse engineered. Or how the system verifies that a live person, not a photo, is standing in front of it. Or how AI quietly adjusts for the naturally occurring, gradual changes in a person’s appearance, whether from age, lifestyle, or a few extra pounds. Interacting with a biometric identity solution is like listening to music on an iPod or today, an iPhone. You don’t even think about the incredible technology working in the background that makes the experience possible. For example, with facial authentication, the most frictionless form of identity verification, you look at a reader without even stopping. In a fraction of a second, the system accurately matches you to your digital identity with a false match rate as low as 1 in 10 billion! I consider that more like a ‘zero click’ solution. Providing better protection The challenge for manufacturers will be resisting the temptation to make them more complicated As our industry embraces AI, we can expect to see a new generation of products that can automate more tasks, synthesise more data, and deliver more functionality than ever before. The challenge for manufacturers will be resisting the temptation to make them more complicated. Product teams should take a page from Jobs’ playbook. Instead of focusing on what the latest technology makes possible, they should be asking, “What do our customers genuinely want? And how can we use technology to make that experience better? Easier? Simpler? As effortless as using your face to access your phone?” That’s the lesson of the iPod, and why a guy who never developed a security product has provided one of the most important lessons for our industry. Companies that build products people want to use will also be creating solutions that are adopted more broadly, used more consistently, and ultimately provide better protection.

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.

Combining VIVOTEK’s branded video security business with March Networks paves the way for the combined brands to meet customers’ increasing appetite for integrated solutions rather than individual components. The merger brings VIVOTEK's branded video security business together under one operating structure with March Networks’ enterprise-grade video surveillance, AI analytics, and cloud-managed security solutions. Customers now have access to a broader, more integrated portfolio spanning enterprise video management, advanced cameras, edge artificial intelligence (AI), cloud services, recording platforms, and business intelligence, says Net Payne, Chief Sales & Marketing Officer at March Networks and VIVOTEK. Distinct product strategies Given the combined companies, product development, sales, marketing, and customer support can move in step rather than in parallel. March Networks and VIVOTEK were already both part of the Delta Electronics family, but they previously operated as separate businesses with distinct product strategies, teams, and routes to market. March Networks and VIVOTEK announced the merger of their branded video security businesses last spring following Delta Electronics' acquisition of remaining VIVOTEK shares. “Aligning our complementary capabilities lets us innovate faster, simplify engagement, and respond more quickly to a market moving toward AI, cloud and intelligent video,” says Payne. This merger reflects a broader shift across the physical security industry, adds Payne. “Customers no longer see video purely as a tool for reviewing incidents after the fact,” he says. “They expect it to help identify risks earlier, simplify investigations, improve operations, and support better decisions across the organization.” Cloud video management Meeting customer expectations requires more than bolting AI features onto existing systems Meeting customer expectations requires more than bolting AI features onto existing systems. Rather, it requires cameras, edge intelligence, recording, software, cloud services, and business data working together as one coordinated platform. “By bringing March Networks and VIVOTEK together, we combine deep expertise across the full video technology stack while preserving the relationships, sector knowledge and customer focus both companies have built over many years,” says Payne. “Our goal is to make intelligent video more integrated, scalable, and practical for customers and partners worldwide.” Both entities bring strengths to the combined companies. March Networks brings experience in enterprise software, cloud video management and large-scale deployments; while VIVOTEK brings strength in imaging, camera technology and edge intelligence. Together they seek to ensure more choice when designing systems, a clearer path for future expansion, and technologies that work together more effectively without compromising the reliability, cybersecurity, and support customers expect from both companies. Advantages for channel partners Channel partners gain a broader portfolio to address a wider range of customer requirements, combining components as each deployment demands. Channel partners also benefit from expanded geographic reach, deeper technical expertise, and greater investment in training and enablement. “Importantly, this is designed to be a seamless transition,” says Payne. “Partners keep working with the teams and relationships they already know, while gaining access to new capabilities and certification opportunities. Over time, that alignment should make it easier to design, deploy and support complete solutions.” Because they are established and respected brands, March Networks and VIVOTEK branding will continue to be used. Rebranding is not a goal, and neither identity is being replaced by the other. Coordinated decision-making “The immediate priority is organizational alignment by making it easier for customers and partners to benefit from the combined portfolio,” says Payne. Product branding will continue to reflect the relevant portfolio and market context. As product roadmaps become more closely coordinated, customers can expect greater interoperability and a more cohesive experience, says Payne. Any future branding changes will be managed carefully and communicated clearly. Combining the businesses reduces duplication and enables coordinated decision-making across product strategy, engineering, sales, marketing, operations, and customer support. “Instead of developing capabilities independently, teams can share their expertise, align roadmaps, and direct investment to where it has the greatest customer impact,” says Payne. Combining specialized knowledge globally The combined organization operates across six continents and more than 75 countries The combined organization includes more than 300 research and development (R&D) engineers across four Centres of Excellence in Canada, Taiwan, Italy and Poland, thus bringing together a substantial base of specialist knowledge. The unified network also sharpens the ability to prioritise global opportunities, respond to regional needs and bring innovations to market faster. The combined organization operates across six continents and more than 75 countries, supported by more than 1,100 certified channel partners. That footprint provides greater capacity to support multinational customers while staying responsive to local market needs. Looking ahead, future growth will increasingly come from helping customers turn video into useful, actionable intelligence. “The market is moving beyond conventional surveillance toward solutions combining AI, cloud services, edge processing, video management and operational data — and our new structure brings these together as one connected solution rather than several isolated technologies,” says Payne. Broader technical expertise There will also be closer collaboration among specialists in imaging, hardware, software, analytics, and cloud, which is important given how much customer infrastructure, regulatory, and deployment requirements vary. The companies can support cloud, hybrid, and on-premise environments, giving organizations a practical path toward more intelligent video. More choice comes from bringing together complementary technologies across product groups. Greater scale is achieved through a larger engineering organization, broader technical expertise and more capacity to invest in innovation. Challenges for the industry at large Looking to the future for the industry at large, the greatest challenge will be managing the rapid growth of AI Looking to the future for the industry at large, the greatest challenge will be managing the rapid growth of AI responsibly, securely and at scale, says Payne. Video systems will generate more data and automate more decisions, but organizations must be able to trust how that intelligence is created, protected, and applied, he adds. “Cybersecurity, privacy, data sovereignty, system interoperability and AI accuracy are more important than ever,” says Payne. Addressing these elements requires expertise across the entire technology stack: from camera and edge processing to recording, cloud infrastructure, video management and analytics. “Together, March Networks and VIVOTEK can coordinate development across all these layers, giving customers flexible architectures that balance innovation with security, transparency and operational control,” says Payne.

IQSIGHT seeks to bring visual intelligence to environments where clarity, reliability, and trust matter the most, says CEO Sabrina Stainburn. Formerly Bosch Video Systems, IQSIGHT is an intelligence-first video security company, combining more than 60 years of engineering expertise with real-time intelligence to help organizations see clearly, act confidently, and improve outcomes in environments when every second matters. While the brand is new, the technology, reliability, and trust behind it are familiar— the products still carry the Bosch name, and the engineering teams remain the same to ensure the continuation of the Bosch legacy. As a result, customers can expect the same standards they rely on today. Embracing emerging technologies IQSIGHT is embracing emerging technologies. “We are applying AI where it delivers value by helping systems understand what is happening and surface the events and patterns that matter most—so customers can detect risk earlier, make faster decisions, and operate with confidence,” says Stainburn. With intelligence at the edge, the cameras act as sensors to secure premises, make buildings safer, and monitor perimeters — without requiring a cloud connection. Edge-based AI also supports integration into existing systems to add visual intelligence without a rip-and-replace — such as adding cameras with visual gun detection outside of entrances or supplementing systems with the ability to detect clothing color and other attributes. IQSIGHT combines the Bosch video portfolio with new AI-enabled capabilities AI-enabled capabilities IQSIGHT combines the Bosch video portfolio with new AI-enabled capabilities designed to remove blind spots IQSIGHT combines the Bosch video portfolio with new AI-enabled capabilities designed to remove blind spots and support earlier, better-informed decisions. The portfolio continues to include intelligent cameras, such as the FLEXIDOME, AUTODOME, DINION, and MIC models, AI-enabled Intelligent Video Analytics Pro (IVA Pro) offerings, and recording and video management solutions, such as BVMS software. This year, the portfolio will also expand with technologies and solutions built on IQSIGHT’s new intelligence-first platform. Vertical markets that are core to the strategy include government, critical infrastructure, education, and smart cities, all industries closely connected with safety, continuity, and operational performance. In these environments, visual intelligence helps organizations address practical challenges — securing perimeters, enhancing safety, and improving traffic flow — so they can operate securely and efficiently. Visual intelligence helps organizations address practical challenges Operating securely and efficiently “Reliability is essential in these industries, and our cameras are engineered to Bosch quality standards and designed to perform in demanding conditions, including extreme weather, while delivering dependable video and accurate analytics where it matters most,” says Stainburn. “These strengths make our video solutions ideal for any industry where security must be uncompromised.”   IQSIGHT evolves from the sale of Bosch’s security and communications technology product business to European investment firm Triton on June 30, 2025. The product brands for video systems, access control, intrusion systems, and communications systems united under the roof of the new company Keenfinity Group. New organizational structure The Keenfinity Group now operates as a holding company consisting of four businesses In late 2025, Keenfinity Group introduced a new organizational structure designed to unlock the next chapter of growth and innovation. The Keenfinity Group now operates as a holding company consisting of four businesses, including the video systems business now called IQSIGHT. Bosch has a long history of partnerships and integrations, and partnerships will remain essential to how IQSIGHT delivers value and flexibility for customers. “We work closely with technology partners to ensure customers can use visual intelligence within the platforms and architectures that best fit their operations,” says Stainburn. Secure-by-design approach Deep integrations include VMS platforms, such as Genetec and Milestone, thus enabling real-time insights across on-premise and cloud environments. This approach gives customers choice — without compromising performance, security, or reliability, according to IQSIGHT. “Continually strengthening our existing partnerships is vital, and we regularly add capabilities to these integrations to deliver new features to enhance security and safety for customers,” says Stainburn. “Cybersecurity is not a feature for us — it’s a foundation,” Stainburn emphasises. “As video systems become more connected and intelligence moves closer to the edge, trust must be designed in from the start. We take a secure-by-design approach across our hardware, software, and integrations. That means protecting data at every stage — from capture to analysis to delivery.” Combining sight and intelligence Just as important, the company works closely with partners and customers to ensure systems fit into their broader security and IT strategies. “When organizations rely on video to make critical decisions, security and reliability must be non-negotiable,” says Stainburn. Stainburn sees video as evolving from traditional surveillance into “visual intelligence” — moving from simply recording events to understanding what is happening in real time. By combining sight and intelligence, organizations can see patterns, giving them the power to predict events that may happen. Proactively addressing risks Stainburn sees video as evolving from traditional surveillance into “visual intelligence” Traditionally, video security was based on video surveillance — an investigative tool for users to review what has already happened. With AI, users can take a different approach — looking at patterns to better secure their premises and have the foresight to intervene before incidents escalate. AI helps systems understand what is happening in a scene, enabling them to discern between a person standing at a train platform and an individual vandalising a train platform, someone holding a power drill versus someone holding a gun. “This level of visual intelligence brings clarity to unfolding events to assist users in proactively addressing risks,” says Stainburn. AI-enabled video systems With foresight, end users can prevent those events from occurring or other issues from escalating. The ability to discern patterns can also influence decisions around safety, resource use, and the customer experience, says Stainburn. “While security will always remain core, we expect visual intelligence to play an increasingly important role in improving operational efficiency across many environments over the next five years.” Not all AI-enabled video systems are equal. Edge, cloud, and GenAI-based tools have different strengths and selecting one approach over another depends on the application or the problem customers need to solve. IQSIGHT works closely with integrators and end users to understand the challenges they are addressing and to provide guidance on the best AI approach to reduce risks, lower response times, and improve operations. Proof of concept projects are important to demonstrating performance in the real world. That’s where IQSIGHT gains an advantage with solutions that deliver reliable results even in challenging conditions, says Stainburn.

There was high-level energy at GSX 2025, befitting an industry undergoing massive change. Artificial intelligence (AI) was everywhere, but not so much in the booth signage. Rather, AI has made its way beyond marketing claims and solidly into the core of the products themselves. There were hundreds of examples of how AI is changing how security systems operate, all for the better. Clearly on display at GSX 2025 was an industry in the midst of metamorphosis.  Deep integration of AI My conversations with companies across the security ecosystem revealed an industry heavily focused on leveraging advanced technologies like AI and the cloud to address increasingly complex global and localized threats. Several key themes emerged at the Global Security Exchange (GSX), sponsored by ASIS International, held Sept. 29–Oct. 1 at the Ernest N. Morial Convention Center in New Orleans, La. Themes I heard repeated throughout the show floor included deep integration of AI, the ongoing shift toward cloud-based and hybrid architectures, and a sharp focus on modernizing security systems to meet current challenges. AI and intelligent automation transform security The use of GenAI is moving beyond simple search functions into real-time decision support Companies are integrating AI and intelligent technologies to enhance analytics, streamline incident response, and improve internal efficiency. The use of Generative AI (GenAI) is moving beyond simple search functions into real-time decision support. For example, Bosch Video Systems introduced a "second tier" to its video analytics capabilities by combining highly sensitive edge detection with GenAI models in the cloud. For example, in visual gun detection, edge analytics might flag a potential gun (yellow), but the cloud-based GenAI then quickly reviews and confirms the threat (red), helping to filter out false alarms. Bosch is also using GenAI for more open-ended searches, such as a "Where's Waldo" application demonstrated at their booth. GenAI-powered system  Eagle Eye Networks says they are focused on helping integrators "organize the AI chaos” through their cloud-based video platform. Their precision person and vehicle detection capabilities work across multiple cameras. Motorola Solutions introduced Inform, an AI-assisted incident response solution designed to bring clarity to the "noise" and help security teams respond to complex threats. They also offer Avigilon Visual Alerts, an on-prem GenAI-powered system that expands the natural language interface. AI internally to improve processes The Body Workforce Mini protects frontline workers and businesses "amid rising violence and theft." The Axon Body Workforce Mini, a small “computer with a lens” for non-police applications, is AI-capable and can perform real-time translations, automated report writing, and summarization, and can even act as a personal assistant by incorporating company policies. All those functions are built into a lightweight body-worn camera designed to safeguard frontline workers in retail and healthcare verticals. The Body Workforce Mini protects frontline workers and businesses "amid rising violence and theft." Beyond products, integration company Everon is using AI internally to improve processes, such as handling commoditized tasks, which they expect will result in better customer satisfaction. Everon wants to be known as a premier service provider and will be introducing new services in the video realm. AI-powered search and continuous system upgrades Genetec prefers the term Intelligent Automation (IA), instead of AI, to describe its empathetic interface, which can "know" what additional information a security professional needs when they click on an image, for example. Genetec says the advantages of the cloud include AI-powered search and continuous system upgrades. Their Security Center SaaS has had a fast and successful launch. It enables cloud-based systems with local storage.  Genetec also highlighted the Cloudlink 210, a cloud-managed appliance designed to unify physical security operations that can be simply plugged in without involving IT staff. They call it a “headless appliance.” Cloud migration and the push for hybrid systems Hanwha debuted OnCAFE (Cloud Access for Everyone), a new cloud-based access control product The industry continues its strategic march toward the cloud, often through hybrid applications that blend on-prem strength with cloud flexibility. Acre's access control is described as "cloud-first technology," and they continue to focus on cloud solutions, incorporating AI. To help customers transition, they offer the "Bridge," a migration tool that allows systems to communicate throughout the move. At the same time, they are continuing to develop and enhance their core on-prem products – DNA Fusion and AccessIt!. Adding access control to supplement their video product line, Hanwha debuted OnCAFE (Cloud Access for Everyone), a new cloud-based access control product. The goal is to provide “access control that is easy;” It works alongside their OnCloud direct-to-cloud VMS as a Service platform. Future of video management The future of video management is increasingly hybrid. Milestone recently completed a three-year process of updating XProtect and building for the future of hybrid applications. At GSX, they showcased how their XProtect Evidence Manager seeks to "democratize evidence management" by collecting video, cell phone data, notes, and other metadata related to a case for easy sharing and prosecution. Also, Milestone’s “app center” enables additional features to enhance XProtect without involving integration.  Milestone is also focusing on "Metadata Ingest," which collects and aggregates data from various manufacturers (including Genetec, Motorola, and Exacq) for use by AI. Strategic modernization and open integration Convergint and Genetec collaborated on a "2026 Technology Modernization Outlook" white paper A key theme for the future is the shift toward open systems and strategic modernization, enabling security professionals to better utilize new technology. Convergint and Genetec collaborated on a "2026 Technology Modernization Outlook" white paper, arguing that dealers and end-users need to think more strategically when buying technology. They predict that "2026 will be the year of modernization," with tangible results including unified intelligence, flexible deployment, and lower total cost of ownership. The call for open standards and architecture was also strong. What AI needs from open systems Johnson Controls noted that cloud, AI, and open standards are its three big focus areas. Their C-CURE IQ 3.10 is gaining adoption as it unifies access and video. OpenEye is seeking to address the "AI disruption anxiety" in the industry, focusing on what AI needs from open systems. The emphasis is on the value of a Model Context Protocol (MCP), an open standard and framework to enable AI systems to integrate and share data with external tools and sources. Addressing shifting global and local threats Allied Universal's "World Security Report 2025" highlights a risen focus on executive protection Companies unveiled solutions targeted at new security concerns, particularly the rising threat of violence, theft, and misinformation. Allied Universal's "World Security Report 2025" highlights an increased focus on executive protection and cites the rise of misinformation and disinformation as the number two threat. They noted that macro trends around instability and the political and social environment are driving security threats globally. To combat physical threats, Shooter Detection Systems introduced a new outdoor sensor, which is now generally available after a favorable feedback period that included an apprehension in one municipality. The company notes the unique challenge of developing technology for a "non-cooperative" threat like a person with a gun, in contrast to most security technologies that are "cooperative" and depend on user compliance. Implementation of integrated security Flock Safety is expanding its focus beyond license plate readers into solutions for retail, with a new initiative to automate and streamline investigative processes, which are often manual. The company also showcased "drones as automated security guards," which can be deployed within 90 seconds to provide "eyes" on a site and enhance safety. The system works on its own network and is firewalled away from the city system A tour of the City of New Orleans' Real Time Crime Center (RTCC), hosted by Axis Communications, demonstrated a mature implementation of integrated security. The RTCC uses Axis cameras, Genetec VMS, and is tied to a Motorola Solutions Command Center to enhance efficiency and effectiveness, operating independently of the police department. They measure success in terms of valuable hours saved in an investigation or even when an event is happening. The system works on its own network and is firewalled away from the city system. Rapidly changing industry on display The GSX 2025 highlights an industry that is moving toward more intelligent and integrated solutions. The investment in AI is shifting security from reactive monitoring to proactive, automated assistance. Throughout the show floor, the continued embrace of hybrid cloud architectures, coupled with an emphasis on open standards and modernization roadmaps, suggests a security ecosystem built for agility and future growth.  These trends, and the GSX show itself, collectively underscore the industry's commitment to delivering scalable, next-generation solutions for a changing threat landscape.

Across the Netherlands, housing corporations are under increasing pressure to maintain safe, secure and sustainable living environments while managing large and diverse property portfolios. Rising expectations around resident wellbeing, operational efficiency and asset protection are driving the need for smarter, more scalable technologies. Hef Wonen, a Rotterdam-based housing association managing more than 30,000 rental homes, commercial properties, parking facilities and residential care complexes, is committed to creating affordable, high-quality housing and vibrant neighbourhoods for its residents. As part of this mission, the organization sought to modernise its surveillance infrastructure to improve security, streamline operations and support its long-term sustainability goals. Video surveillance solution To address these challenges, Hef Wonen partnered with Hanwha Vision and system integrator Alphatron Security to deploy a scalable, future-ready video surveillance solution designed to enhance operator efficiency, accelerate response times and provide a foundation for future innovation. To deliver a superior resident experience and ensure safety and security, the leadership team at Hef Wonen realised that they needed to integrate all of their video surveillance into a single platform. Motion detection alerts The team turned to system integrator Alphatron Security, which had previously worked effectively with Hanwha Vision on other distributed sites. Hanwha Vision was an obvious choice given its track record of success, the range of cameras and other devices that could support Hef Wonen’s needs, and its open WAVE VMS that integrated with the housing corporation’s systems to bring every information source into a single place. Hanwha Vision’s extensive product range meant Hef Wonen could choose from many different cameras that aligned with the team’s needs and budget. Across 200 Hef Wonen residential sites, over 2,000 QNV-6082R and ANV-L6082R cameras have been installed. The QNV-6082R 2MP Network Dome Camera provides 24/7 oversight with a 30m infrared viewable length. Hallway view allows operators to monitor narrow areas such as corridors or walkways. Motion detection alerts operators to movement so they can investigate further, and tampering and defocus detection means the team can respond quickly to any events that may prevent footage from being captured. Multiple device integrations The ANV-L6082R 2MP outdoor dome camera ensures operators can effectively monitor outdoor areas across the site, including entrances/exits, storage areas, and bin stores. The ANV-L6082R is a robust IP66- and IK10-rated device that can withstand inclement weather and detect tampering. It comes with WiseStream II support, which delivers high-quality video footage at a lower bandwidth, helping to reduce storage costs. These cameras are supported by the Wisenet WAVE VMS, a versatile video management system that supports AI-powered video analytics and multiple device integrations through its open SDK/API. Operators can run the WAVE VMS on desktop and mobile devices, allowing them to keep updated with events while on ground patrol or working remotely. The system is fully GDPR compliant. The consolidated video surveillance system provides operators with an intuitive way to proactively monitor vital parts of the system over 200 sites, remotely. This has improved team efficiency and resident safety, while providing a future-proofed, open system that can scale and add new functionality as needed.

Milestone Systems, a provider of open platform video management software (VMS), is helping Columbia Borough, Pennsylvania, strengthen public safety through a community-wide video security system built on Milestone XProtect® VMS. For more than 16 years, Columbia has worked with Lancaster-area security integrator App-Techs to develop and expand a distributed wireless video network serving its downtown, public buildings, parks, and other borough facilities. Today, the system supports roughly 83 camera feeds, including 4K multi-lens and PTZ cameras, primarily from iPro. Traditional wired infrastructure Located along the Susquehanna River in Lancaster County, Columbia is a historic borough of roughly 10,000 residents. As the community worked to revitalise its downtown and attract new businesses, borough leaders wanted safety and security to support that broader effort. Traditional wired infrastructure was impractical across Columbia’s geographically varied environment, requiring App-Techs to engineer a distributed wireless architecture. XProtect provides the video management foundation, with dedicated servers located in the municipal building and a remote park office. Officers can also access live camera feeds from laptops in patrol vehicles, while mobile access extends video to personnel during community events. Immediately dispatched officers Columbia’s dispatchers are the primary day-to-day operators of XProtect, monitoring cameras, and supporting officers in the field. In one incident, a dispatcher spotted someone breaking into a vending machine outside a laundromat and immediately dispatched officers. “Our staff member observed someone breaking into a vending machine just outside that building and was able to dispatch officers to the scene,” said Jack Brommer, Columbia Borough Police Department Chief. “Officers apprehended the individual, and it turns out this was a serial thief who had been breaking into vending machines across the tri-county area. So that single arrest helped resolve a number of thefts across multiple counties. That’s just the kind of impact this technology can have on a community.” Large community events The system also supports holding cells and interview rooms inside the police station, where microphones are integrated with cameras, as well as large community events. During Columbia’s annual “Thunder on the River” antique car show, Emergency Management personnel used the community camera network to support proactive monitoring and rapid response across the event. Over time, Columbia’s video system has supported faster incident response, stronger evidence for prosecution and greater situational awareness for dispatchers and police officers. Borough leaders also use signage in parks and public areas to make camera coverage visible as a deterrent. Gunshot-detection technologies “The data that I can point to is that we are trending downward, probably for the last five, six years, as far as call volume and crime trends. Those numbers have been very positive,” added Brommer. Looking ahead, Columbia plans to expand its use of video analytics, including object-search capabilities that can help investigators filter video by vehicle type, color, and other attributes. The borough is also exploring emerging gunshot-detection technologies to further improve situational awareness.

Milestone Systems, a provider of open platform video management software (VMS), is helping Columbia Borough, Pennsylvania, strengthen public safety through a community-wide video security system built on Milestone XProtect® VMS. For more than 16 years, Columbia has worked with Lancaster-area security integrator App-Techs to develop and expand a distributed wireless video network serving its downtown, public buildings, parks, and other borough facilities. Today, the system supports roughly 83 camera feeds, including 4K multi-lens and PTZ cameras, primarily from iPro. Distributed wireless architecture Located along the Susquehanna River in Lancaster County, Columbia is a historic borough of roughly 10,000 residents. As the community worked to revitalise its downtown and attract new businesses, borough leaders wanted safety and security to support that broader effort. Traditional wired infrastructure was impractical across Columbia’s geographically varied environment, requiring App-Techs to engineer a distributed wireless architecture. XProtect provides the video management foundation, with dedicated servers located in the municipal building and a remote park office. Officers can also access live camera feeds from laptops in patrol vehicles, while mobile access extends video to personnel during community events. Immediately dispatched officers Columbia’s dispatchers are the primary day-to-day operators of XProtect, monitoring cameras, and supporting officers in the field. In one incident, a dispatcher spotted someone breaking into a vending machine outside a laundromat and immediately dispatched officers. “Our staff member observed someone breaking into a vending machine just outside that building and was able to dispatch officers to the scene,” said Jack Brommer, Columbia Borough Police Department Chief. “Officers apprehended the individual, and it turns out this was a serial thief who had been breaking into vending machines across the tri-county area. So that single arrest helped resolve a number of thefts across multiple counties. That’s just the kind of impact this technology can have on a community.” The system also supports holding cells and interview rooms inside the police station, where microphones are integrated with cameras, as well as large community events. During Columbia’s annual “Thunder on the River” antique car show, Emergency Management personnel used the community camera network to support proactive monitoring and rapid response across the event. Gunshot-detection technologies Over time, Columbia’s video system has supported faster incident response, stronger evidence for prosecution and greater situational awareness for dispatchers and police officers. Borough leaders also use signage in parks and public areas to make camera coverage visible as a deterrent. “The data that I can point to is that we are trending downward, probably for the last five, six years, as far as call volume and crime trends. Those numbers have been very positive,” added Brommer. Looking ahead, Columbia plans to expand its use of video analytics, including object-search capabilities that can help investigators filter video by vehicle type, colour, and other attributes. The borough is also exploring emerging gunshot-detection technologies to further improve situational awareness.

TECOM Group has enhanced security and accessibility across several of its flagship developments in Dubai, including Dubai Media City, with the installation of advanced Gunnebo Entrance Control solutions. Since its establishment in 1999, TECOM has shaped Dubai’s landscape as a hub for business and innovation. Its ten business districts, including Dubai Internet City, Dubai Knowledge Park and Dubai Design District (d3), are home to nearly 12,000 companies employing more than 124,000 people. Entrance control solution Developments like Dubai Media City welcome thousands of people every day, serving as both workplaces and collaborative hubs where ideas and intellectual property are shared. This made it essential for TECOM to implement an entrance control solution capable of maintaining robust security while preserving the smooth flow of people and the open, professional atmosphere expected across its developments. Following a competitive tender, Gunnebo Entrance Control was appointed to combine advanced entrance control, seamless integration with wider access control systems and a sleek design suited to modern commercial environments. More than 40 SpeedStile FLs gates were installed across several buildings, chosen for their performance, adaptability and ability to support high volumes of daily movement without compromising the visitor experience. Access control technology The SpeedStile FLs features a slim, contemporary appearance designed to complement modern commercial spaces. Beyond aesthetics, it incorporates advanced single-person detection systems, monitoring tailgating, piggybacking and unauthorized attempts to access secure areas. Audible alerts assist on-site teams, while third-party integration ensures compatibility with existing access control technology, including group movement through card stacking capabilities. For TECOM, this blend of security technology and design has delivered both reassurance and efficiency. By implementing SpeedStile FLs across its developments, the Group has strengthened security while preserving the collaborative and welcoming environment that defines its business communities. Fadi Yakoub concluded: “TECOM communities attract some of the world’s biggest names alongside dynamic start-ups, making them vital contributors to the region’s knowledge and creative economy. We are proud of our long-term partnership to deliver seamless entrance control solutions across their developments. The SpeedStile FLs provides flexible, reliable management of people flow, while also creating a welcoming and professional first impression for business communities.”

Passwords originated in ancient times, used by Roman military forces around the first century BC. Since then, passwords have evolved from physical words to the computer access control tools used today. Passwords are easy to implement, widely supported, and familiar to users. However, they are easily forgotten, stolen through phishing, prone to reuse, and vulnerable to credential-harvesting or brute-force attacks. We asked our Expert Panel: What is the role of passwords in physical security?

Adequate video surveillance coverage depends entirely on a facility's layout, square footage, and security goals. Historically, better coverage required more cameras, but technology innovations are changing those expectations and undermining previously held rules of thumb. We asked our Expert Panel Roundtable: Do today's video systems generally require more cameras or fewer cameras, and why?

At mid-year 2026, the broader economy tells a story of resilience under pressure. Conflict in the Middle East has triggered a shock to the energy supply, driving oil prices up and reigniting global inflation. However, a total downturn has been averted. Exceptional, historic levels of business investment and data center construction are providing a firm floor for growth, offsetting cooler consumer spending and keeping labor markets fundamentally stable. But how are changing economics impacting the physical security market? We asked our Expert Panel Roundtable: How do changes in the broader economic climate impact physical security?