Mall security

Allegion US, a provider of security solutions, technology and services, launched Allegion Optimize™, a mobile application created to unify and streamline management of select Allegion products within one easy-to-use tool built with customers' needs in mind. The release coincides with the latest firmware update for the award-winning LCN Senior Swing Series Auto Operator, making it the first device to utilize Optimize. Key features allow installers and facility teams to calibrate, adjust, maintain and troubleshoot the LCN Senior Swing with just the app, resulting in greater efficiency, precision and safety. Facility management workforce Optimize creates a single, unified experience that reduces time and friction in device commissioning, diagnostics and firmware updates across connected Allegion solutions via Bluetooth® connection. By providing support throughout the device's life cycle, facility teams not only gain improved efficiency but better insight into the data and controls that help keep their openings running smoothly. "Between 2018 and 2033, it's predicted that up to 50 percent of the facility management workforce will retire," said Emily Zentz, Allegion product manager, automatic operators. "As new facilities professionals step into the industry, it's imperative that technology advances in line with their growing expectations. The Optimize app answers that call, positioning Allegion's line of auto operators with a modern experience." Greater level of control Setting adjustments, troubleshooting and calibration on the LCN Senior Swing is now even easier. In-app calibration, diagnostic tools, firmware updates and data management enable installers and facility teams to have a greater level of control over their buildings. Once the LCN Senior Swing is installed, the installer can run the calibration cycle from the app. This allows them to be safely on the ground and watch the door more closely to determine whether further adjustments are needed. Users can fine tune the settings on the Optimize app without removing the cover on the Senior Swing or climbing a ladder. When troubleshooting, Optimize provides details for any error codes or notifications, so the user can quickly review, digest and act upon that information before engaging with technical support. Multiple product categories Allegion Optimize won't stop with the LCN Senior Swing. It is designed to be the new unified device management mobile application that will simplify the commissioning, configuration and ongoing maintenance of future Allegion connected devices across multiple product categories. Plans to support additional auto operators and electronic locks will be announced later this year. Allegion Optimize is available now in the Apple App Store® and Google Play™ store for use with LCN auto operators.

Aetina Corporation, an AI solution provider and accelerator of edge AI infrastructure, announces its participation in Smart City Expo World Congress (SCEWC) 2026, taking place November 3–5 at Fira Barcelona Gran Via. At Hall 3, Booth C162, Aetina will showcase NVIDIA-powered edge AI platforms and partner solutions spanning intelligent agriculture, autonomous factories, smart mobility, and smart cities and spaces. Crop health monitoring Intelligent Agriculture: Aetina’s 2026 showcase follows a connected “farm-to-city” story, demonstrating how edge AI supports the journey from cultivation and harvest to factory processing, transportation, and urban infrastructure. In intelligent agriculture, Aetina plans to showcase intelligent agriculture solutions powered by Comiers, Optoscale, Nature Robots, and Farm-ING, together with ecosystem partners such as Innodisk, Steliau Technology, and Arcobel Embedded. Powered by Aetina's NVIDIA Jetson lineup, from NVIDIA Jetson T5000 and T4000 modules in the NVIDIA Jetson Thor family to NVIDIA Jetson AGX Orin 64GB and NVIDIA Jetson Orin NX 8GB, the solutions support seeding, watering, fertilising, crop health monitoring, and harvest optimization. By running perception and generative AI inference directly in the field, growers act on real-time insights without relying on the cloud. Inconsistent manual inspection Autonomous Factory: Next, the harvest moves to a juice factory, where two live demos show edge AI at work. Outside, truck-mounted cameras feed Aetina's rugged AIE-VX28/18-IP, powered by NVIDIA Jetson AGX Orin and running NVIDIA DeepStream on NVIDIA CUDA, which processes eight concurrent camera streams in real time. It enhances loading-dock safety by detecting the worker closest to the truck, a method that also applies to forklifts, excavators, and other off-highway vehicles. With JetPack 7.2 enabling the NVIDIA Jetson AGX Orin 32GB Super Mode, AI performance increases from 200 to 241 TOPS, providing extra capacity for more complex vision pipelines without needing to switch to a higher-cost module. Inside, the MegaEdge AIP-FR68S paired with an NVIDIA GPU detects and grades tangerines in real time, replacing slow, inconsistent manual inspection with AI quality assessment for sorting, picking, processing, and packaging. Actual road conditions Smart Cities & Spaces: The final stop follows delivery trucks from factory to store. Aetina's AI Adaptive Street Lighting Solution, powered by CoreEdge MXM modules featuring the NVIDIA RTX PRO 500 Blackwell Embedded GPU, turns street-camera feeds into real-time traffic intelligence and adjusts illumination to actual road conditions—reducing energy consumption while maintaining roadway safety. When cameras are unavailable, radar or LiDAR can serve as inputs, helping municipalities move from fixed infrastructure to adaptive, ESG-aligned streets. Aetina will place special focus on the NVIDIA Jetson platform as developers face increasing pressure to deploy larger AI models within tighter size, power and cost constraints. Jetson integrates validated DRAM directly on-module, reducing external memory sourcing, qualification and system-design complexity. Combined with NVIDIA’s optimized software stack, Jetson enables higher inference throughput with a smaller memory footprint for modern edge AI workloads. Simplifying system development Aetina enhances its advantage by integrating NVIDIA JetPack 7.2 into its edge AI systems powered by NVIDIA Jetson Thor, JetPack 7.2 brings NVIDIA Jetson Thor and Jetson Orin onto a unified software foundation based on Ubuntu 24.04, Linux kernel 6.8, and the CUDA 13 software stack. It also introduces NVIDIA Jetson agent skills that audit and reclaim memory held by bootloader carveouts, kernel reservations, and unused services. With support for NVIDIA NemoClaw and optimized deployment of open models such as NVIDIA Nemotron 3 Nano Omni, NVIDIA Cosmos, and NVIDIA Isaac GR00T, developers can simplify system development, improve memory efficiency, and accelerate AI deployment at the edge. Multi-camera perception For intelligent transportation, Aetina will showcase its newly launched DeviceEdge AIE-VN34/44 and AIE-VO24/34, the company’s first palm-sized in-vehicle edge AI systems. Powered by NVIDIA Jetson Orin NX and NVIDIA Jetson Orin Nano with Super Mode, the systems deliver up to 100 TOPS and support up to four GMSL2 cameras for real-time multi-camera perception in vehicles, AMRs and industrial equipment. Aetina will also preview the rugged AIE-VX28/18-IP, an IP66-rated, fanless in-vehicle system powered by NVIDIA Jetson AGX Orin. With support for eight GMSL2 cameras and four M12 PoE cameras inputs, 10GbE connectivity, and E-Mark (E24) certification, the platform is designed for logistics fleets, intelligent transportation systems and other demanding outdoor mobility deployments. Intelligent transportation systems “Cities succeed with edge AI when compute is rugged, memory-efficient, and ready to scale from pilot to fleet,” said Richard Hung, Vice President of Product Division at Aetina. “By integrating NVIDIA JetPack 7.2 across our NVIDIA Jetson Thor and Jetson AGX Orin-based platforms and pairing it with our newest in-vehicle systems, we give system integrators and municipalities a faster, lower-risk path to deploy AI across agriculture, industry, and urban mobility.” Visit Aetina at Smart City Expo World Congress 2026 in Barcelona. Aetina cordially invites visitors to Hall 3, Booth C162 on November 3–5, 2026.

Cequence Security, the pioneer in application, API, and agentic AI protection, today announced that Russ Schafer, former Executive Vice President of Marketing at Fortinet, has joined as Chief Marketing Officer, reporting to CEO Ameya Talwalkar. Schafer joins as Cequence builds on major customer wins, the expansion of Agentic AI security solutions and industry recognition. Schafer brings more than 25 years of marketing leadership at billion-dollar companies and high-growth startups across cybersecurity, SaaS, enterprise software, semiconductors, and media. He has led global teams of 200+ professionals and managed budgets exceeding $300M (£222M), generating billions in pipeline. As CMO at Cequence, he leads corporate marketing, product marketing, demand generation, field marketing, analyst relations, and creative services. Most demanding organizations For 12 years, Cequence has stopped bots and secured APIs for some of the world’s largest and most demanding organizations in telecommunications, financial services, retail, and transportation. The Cequence Platform scales to process over 10 billion API calls per day while protecting 4 billion user accounts. AI agents now reach enterprise data through the same APIs Cequence already protects, and the company is applying that experience to secure them. To protect enterprises adopting AI, Cequence continues to expand its AI security solution to protect against the latest AI Agent threats, including: Cequence Application and API Protection v9: Helps security teams discover APIs and stop attacks, bots, and abuse, and is now AI-native, with a built-in AI assistant and MCP server. Agent Trust verifies agent identity and blocks harmful behaviour in real time. Cequence found Meta’s Muse at more than half of the customers studied within two weeks of the agent’s launch. AI Gateway: Treats agents as properly onboarded digital employees, tying tools, APIs, skills, LLMs, and permissions to Agent Personas, containing agents and preventing overreach in real time. AI Discovery brings shadow AI under governance, while LLM Continuity and Budgets & AI Spend deliver model failover and spend control. Agentic AI security Together, Application and API Protection, including Agent Trust, and AI Gateway secure both directions of agent traffic, from external agents reaching enterprise applications to an enterprise’s own agents reaching tools, data, and models. The demand for bot, API, and agentic AI security is surging, and Cequence’s record growth reflects that trend. Cequence reported its strongest quarter and largest deal in company history, with new customers in the United States, Japan, South Korea, Brazil, and the Middle East. NTT DOCOMO, Japan’s leading mobile operator with over 91 million subscribers, deployed Cequence’s application and API protection solution to safeguard its service infrastructure, applications, and APIs from sophisticated attacks, business logic abuse, and unauthorized access. Autonomous network initiatives Cequence is defining the security standards for the agentic era, co-authoring the CIS Critical Security Controls Companion Guides for AI agents, LLMs, and Model Context Protocol (MCP), while co-chairing TM Forum’s AI-Native Blueprint initiative. The company is also working with a dozen global telecommunications providers on their autonomous network initiatives to safely enable agentic AI. “Enterprise leaders are just beginning to realize the sheer scale of the AI agent security and governance challenge,” said Ameya Talwalkar, co-founder and CEO of Cequence. “Because AI agents rely on the very APIs Cequence already protects, we are uniquely positioned to give enterprises complete visibility and real-time control and governance of AI agents. Russ brings the strategic vision and proven marketing playbook to drive awareness, build pipeline, and establish Cequence as a leader in agentic AI security.” AI security challenges “Cequence is solving the exact agentic AI security challenges that enterprise leaders are just beginning to discover,” said Russ Schafer, Chief Marketing Officer, Cequence. “Cequence’s proven heritage in stopping bot and API abuse, combined with breakthrough innovations like Agent Trust and full-lifecycle AI governance, uniquely positions us to lead this market. I’m thrilled to join the team and empower enterprises to adopt AI agents with complete confidence and control.” Prior to joining Cequence, Schafer served as Executive Vice President of Marketing at Fortinet, driving global demand across a portfolio of 60+ network, cloud, and AI security products – experience that directly aligns with Cequence’s platform expansion. Schafer is a recognized thought leader and featured event speaker who presented on Agentic AI for Coordinated and Unified Cybersecurity Defense at RSAC 2026. He previously headed product marketing and analyst relations at Check Point Software and served as SVP & GM of Technology at THX. His earlier experience includes serving as VP of Product Marketing at Adap.tv (acquired by AOL for $405M), alongside senior leadership roles at Intel, IBM, Sybase, and Yahoo!. He holds an MBA from Duke University and a BBA from Texas A&M University.

Amthal Group Companies has partnered with AURA to connect customers needing a physical security response to alarm activations or requests for assistance, with a nationwide network of vetted, SIA-licensed security responders. The service connects a dedicated Amthal mobile app and EMCS alarm receiving centres with AURA’s nationwide network of more than 180 accredited private security companies and thousands of Security Industry Authority (SIA)-licensed professionals. Significant crime risks When an incident requires a physical response, AURA identifies the nearest available responder and coordinates their attendance. Customers can track the responder’s progress and view estimated arrival times through the Amthal app, giving them visibility of the call-out while it is underway. “With police attendance at alarm activations less frequent and businesses continuing to face significant crime risks, connecting customers with an available, vetted security responder is central to this partnership service,” said James Wilson, Head of Customer Growth UK at AURA. “By bringing together response coordination, live tracking and digital reporting, AURA provides a clear process from the initial request through to attendance at the premises. This will help Amthal’s customers understand how a call-out has been handled and gives them a record of the response to support compliance.” Alarm receiving centre The service is designed for a range of environments, including commercial and retail premises, construction sites, residential properties and vacant buildings. It provides an option for businesses that need to manage security outside normal working hours, particularly when the main keyholder is unavailable. Requests can be made directly through the Amthal app or triggered by an alarm activation received by an alarm receiving centre. Responders can investigate incidents and carry out external checks, with access to the premises available through authorized, secure keyholding arrangements where required. Additional monitoring centre Following attendance, customers receive a digital report containing a time-stamped record, GPS data, photographs and relevant incident details. This provides an account of what happened, when the responder attended and the findings from their visit, supporting incident reviews and compliance records. Jamie Allam, CEO of Amthal Group Companies, added: “AURA gives our customers instant access and total protection when on-site attendance is needed. It helps businesses managing multiple locations, vacant properties or sites outside normal working hours arrange a physical response when an incident occurs. It complements our existing monitoring systems, bringing security technology and on-site mobile response together as part of our wider offering.” Managed by Amthal and powered by AURA’s technology and responder network, the service integrates with existing alarm receiving centres, monitoring systems and the Amthal app, without requiring additional monitoring centre personnel.

Advanced has launched Smart Walk Test, a new feature within AdvancedLive, the smart management platform available on MxPro 5 Gen-2 fire panels. Designed to support the testing and record-keeping requirements highlighted in the latest revision of BS 5839-1:2025, Smart Walk Test simplifies routine fire system testing and helps organizations demonstrate that testing has taken place. Although facilities teams and maintenance contractors are both responsible for testing fire systems, their requirements are very different. Smart Walk Test has therefore been designed around two distinct testing modes: weekly testing for facilities teams and annual testing and maintenance activities for maintenance contractors. Smart management platform For facilities teams, Smart Walk Test provides a simple, guided process that allows routine weekly tests to be completed quickly and confidently. Step-by-step prompts guide users through the testing of call points, sounders and outputs, while real-time pass/fail confirmation provides instant assurance that devices have responded correctly. Every activity is automatically logged within AdvancedLive, creating a secure digital record that makes testing information easier to capture, store and review. The system can also track which call points have been tested and prompt users to rotate call point checks in line with best-practice guidance. Meanwhile, dashboard visibility gives facilities teams greater oversight of testing activity across one or multiple sites. Smoke control interfaces For maintenance contractors, Smart Walk Test supports a more efficient, connected approach to annual testing and maintenance activities. Engineers can remotely place zones into test mode, verify device activations in real time and track progress as testing is completed across the building. Testing activity can be recorded automatically as it happens, helping to create a clear, timestamped audit trail and detailed service record. By allowing engineers to verify activations and monitor progress while moving through a building, Smart Walk Test can help testing be completed more quickly and efficiently while reducing administration. The platform also supports the testing of outputs and ancillary functions, including sounders, beacons, door releases and smoke control interfaces, during the same visit. Stronger evidence trail A central focus of Smart Walk Test is creating a stronger evidence trail. The latest revision of BS 5839-1 places continued emphasis on maintaining appropriate records of system inspection, testing and maintenance. Smart Walk Test supports this by providing automatically generated logs, timestamped testing histories and detailed activity records. Testing information can be stored securely, reviewed when required and used to support audits, inspections and compliance reviews, helping organizations demonstrate that testing has taken place. Michael Dunbar, Digital Product Manager at Advanced, said: "Routine fire system testing remains essential, but it can be time-consuming, administration-heavy and difficult to evidence consistently. Smart Walk Test has been designed to make testing simpler for both facilities teams and maintenance contractors while providing a stronger digital record of testing activity. Whether you're completing a routine weekly test or carrying out an annual service visit, Smart Walk Test helps make testing easier to carry out, easier to evidence and easier to manage." Smart Walk Test is available now through AdvancedLive for MxPro 5 Gen-2 fire panels running firmware version 60.04 or later and forms part of Advanced's ongoing commitment to making fire system management smarter, simpler and more connected.

Hanwha Vision, a global vision solution provider, builds upon its proven Audio Beacon platform with the introduction of the SPS-A8016—an all-in-one indoor security solution designed to combine intelligent surveillance, audio communication, and visual alerting in a single compact device. By integrating AI-powered video analytics, proactive audio messaging, and multi-color visual notifications into one platform, the All-In-One Camera helps reduce installation complexity, minimize hardware requirements, and streamline deployments across a wide range of indoor environments. The SPS-A8016 combines a 5MP AI-powered camera, powerful 90 dB speaker, beamforming microphones, and a multi-color RGB LED ring to deliver proactive situational awareness and responsive security operations. Responsive security operations From schools and banks to retail environments and healthcare facilities, the All-In-One Camera delivers complete situational awareness through a single device. It enables immediate detection and response—whether through real-time video analytics, high-volume audio alerts, full-duplex two-way communication, or LED notifications—supporting rapid decision-making and direct interaction with on-site individuals. At the core of the All-in-One Camera is Hanwha Vision's Wisenet 9 SoC, powered by a Dual NPU architecture that ensures video quality and AI analytics operate on independent resources, so neither function impacts the other. The 5MP sensor delivers sharp, detailed footage with AI-based image enhancement, extremeWDR (120dB) for challenging backlight conditions, and WiseStream AI-driven bandwidth reduction. Object classification natively detects and categorises people, faces, vehicles, and license plates, with detailed attribute metadata and BestShot images for powerful forensic search. Challenging backlight conditions Beyond video, the device features built-in Business Intelligence analytics—including people counting, crowd counting, queue management, and heatmapping—providing actionable operational insights without additional hardware or licenses. AI-based analytics also support slip-and-fall detection, loitering, line crossing, and virtual area monitoring, enabling proactive safety responses in real time. The three built-in MEMS microphones—two beamforming mics for noise reduction and one extreme decibel mic—work alongside the 90 dB speaker to deliver clear, full-duplex two-way audio communication with echo cancellation. SIP 2.0 support enables direct integration with VoIP/PBX phone systems, allowing operators to respond to events from anywhere. The LED ring enhances visibility of alerts in any lighting condition, offering customisable colours (RGB, Green, Blue, Red, Pink, Sky blue, Purple) and sequential flashing patterns to signal different types of events—functioning as both a deterrent and a notification mechanism. AI-based sound classification Additionally, the All-In-One Camera incorporates AI-based sound classification to detect specific sounds—such as screams, breaking glass, aggression, tire screeches, vehicle horns, and extreme decibel levels—using deep learning. The All-In-One Camera supports full integration with major VMS platforms including Genetec, Milestone, Wisenet WAVE, and BLAZE. It supports complex Boolean event logic and delivers alerts via speaker, LED, alarm output, FTP, SFTP, email, HTTP/HTTPS/TCP, and MQTT. With a Secure Element certified to FIPS 140-3 Level 3 and CC EAL6+, EN 303 645 IoT cybersecurity certification, secure boot, signed firmware, and a built-in case tamper switch with IK08 impact protection, the device ensures maximum data protection and physical security. Virtual area monitoring Key Features of the All-In-One Camera: 5MP AI camera with Wisenet 9 Dual NPU and 30fps performance Object classification for people, faces, vehicles, and license plates with BestShot capture Built-in Business Intelligence: people counting, queue management, and heatmap AI-based analytics: slip-and-fall detection, loitering, and virtual area monitoring 90dB speaker for broadcast, deterrence, and alerts Beamforming MEMS microphones with echo cancellation and noise reduction Full-duplex two-way audio with SIP 2.0 VoIP/PBX integration AI-powered sound classification for screams, glass breaks, aggression, and extreme decibel levels Multi-color RGB LED ring with customisable colours and sequential flashing patterns Supports Boolean logic for complex event triggers Real-time notifications via speaker, LED, alarm, FTP, email, HTTP/S, TCP, and MQTT Compatible with Genetec, Milestone, Wisenet WAVE, and BLAZE. FIPS 140-3 Level 3 Secure Element with EN 303 645 cybersecurity certification IK08 impact protection with built-in case tamper switch Easy Wi-Fi Direct installation via Wisenet installation app Hanwha Vision Open Platform (HVOP) for third-party application support

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 physical security industry has been in love with the cloud for quite some time. And understandably so. The promise of instant scalability, centralized access, and simplified maintenance is hard to ignore, especially in an era of remote work and distributed facilities. But reality is catching up to the hype. For many, especially those dealing with video surveillance at scale, the cloud is no longer the catch-all solution it once seemed. Rising costs, bandwidth limitations, and latency issues are exposing its shortcomings. And the more resolution increases, from HD to 4K and beyond, the heavier that burden becomes. Modern security cameras This is where edge computing, specifically AI-enabled edge processing available in modern security cameras, starts to look less like an option and more like a necessity. But it’s not just about adding intelligence to cameras. It’s about how that intelligence is deployed, scaled, and maintained. This leads us to containerization and tools such as Docker, which are a revolutionary piece of the puzzle. When cloud isn't enough Cloud analytics for video sounds great in theory: stream everything to the cloud Let’s start with a basic issue. Cloud analytics for video sounds great in theory: stream everything to the cloud, let powerful servers do the thinking, then serve up results to end-users in real time. However, in practice, this model can break down quickly for many end-users. Raw video is heavy. A single 4K camera streaming 24/7 can generate terabytes of data per month. Multiply that by hundreds or thousands of cameras, and the bandwidth and storage costs become unsustainable. Then there’s latency. If AI needs to detect a person entering a restricted area or identify a license plate in motion, seconds count. Routing video to a cloud server for analysis and waiting for a response can introduce delays. Adding in concerns about uptime, such as what happens if the internet connection goes down, it becomes clear why relying exclusively on the cloud creates friction for mission-critical deployments. The edge advantage Edge processing turns that model on its head. Instead of sending everything out for analysis, edge-enabled cameras do the heavy lifting on-site. AI algorithms run directly on the device, interpreting what they see in real time. They generate metadata—lightweight descriptions of events, objects, or behaviors—rather than raw video. This metadata can be used to trigger alerts, inform decisions, or guide further review. The benefits are obvious: latency drops, bandwidth use plummets, and storage becomes more efficient. Edge processing solves many cloud deployment issues by keeping the compute where the data is generated, on the device. This frees the cloud up to do what it’s best at: providing scalable and centralized access to important footage. But where does the edge go from here? How do we evolve these powerful IoT devices to deliver even more situational awareness? Enter Docker: An app store for edge AI They package an app along with everything it needs to run: the code, settings, libraries, and tools This is where the concept of containerization and open development platforms like Docker comes in. Let’s start with an analogy that is helpful for understanding containers. Imagine you're getting ready for a trip. Rather than hoping your hotel has everything you need, you pack a suitcase with all your essentials: clothes, toiletries, chargers, maybe even snacks.  When you arrive at your destination, you open the suitcase and you’re ready to go. You don’t need to borrow anything or adjust to whatever the hotel has, since you’ve brought your own reliable setup. Containers in software work the same way. They package an app along with everything it needs to run: the code, settings, libraries, and tools. This means the application behaves exactly the same, whether it’s running on a developer’s laptop, on the edge in an IoT device, or in the cloud. Security camera with a powerful edge processor There’s no last-minute scrambling to make it compatible with the environment it lands in, because it’s self-contained, portable, and consistent. Just like a well-packed suitcase simplifies travel, containers simplify software deployment. They make applications faster to start, easier to manage, and more predictable, no matter where they’re used.  For a security camera with a powerful edge processor, it’s like giving the camera its own specialized toolkit that can be swapped out or upgraded without touching the rest of the system. It also means you can run multiple AI applications on a single camera, each in its own isolated environment. Integrators and end-users These applications don’t interfere with each other and can be updated independently Want to add fall detection to a healthcare facility’s camera network? Just deploy the analytics in a container. Need to monitor loading docks for pallet counts at a warehouse? Spin up a different container. These applications don’t interfere with each other and can be updated independently.  As a developer, if you use an open container platform like Docker, any system that supports Docker can utilize your software. This removes the need to do expensive custom work for each partner and ecosystem. This is one reason Docker containers are tried and true in the larger IT space and are just starting to get traction in the security sector. Docker also makes this scalable. Developers can build AI tools once and push them out to hundreds or thousands of devices. Integrators and end-users can customize deployments without being locked into proprietary ecosystems. And because containers isolate applications from core system functions, security risks are minimized. Metadata, not megabytes Traditional video analytics systems often require full video streams to be processed One of the most underappreciated aspects of this method is the way it redefines data flow. Traditional video analytics systems often require full video streams to be processed in centralized servers, either on-premises or in the cloud. This model is brittle and costly, and it’s also unnecessary. Most of the time, users aren’t interested in every frame. They’re looking for specific events. Edge AI enables cameras to generate metadata about what they see: “Vehicle detected at 4:02 PM,” “Person loitering at entrance,” “Package removed from shelf.” This metadata can be transmitted instantly with minimal bandwidth. Video can still be recorded locally or in the cloud, but only accessed when needed. This dramatically reduces network load and allows the cloud to be used more strategically: for remote access, long-term archiving, or large-scale data aggregation, without being overwhelmed by volume. Building smarter systems, together A single camera can run analytics from multiple third parties, all within a secure, containerized framework An equally important aspect of containerization is how it opens up the ecosystem. Traditional security systems are often built as closed solutions. Everything—from the cameras to the software to the analytics—comes from a single vendor. While this simplifies procurement, it limits innovation and flexibility. Docker flips that model. Because it’s an open, well-established standard, developers from any background can create applications for edge devices. Integrators can mix and match tools to meet unique customer needs. A single camera can run analytics from multiple third parties, all within a secure, containerized framework. This is a profound shift. Security cameras stop being fixed-function appliances and become software-defined platforms. And like any good platform, their value increases with the range of tools available. Hybrid: The realistic future So, where does this leave the cloud? It is still essential, but in a more specialized role. The most robust, future-proof architectures will be hybrid: edge-first and cloud-supported. Real-time detection and decision-making happen locally, where speed and uptime matter most. The cloud handles oversight, coordination, and data warehousing. Real-time detection and decision-making happen locally, where speed and uptime matter most This hybrid model is especially useful for organizations with complex deployments. A manufacturing plant might retain video locally for 30 days but push older footage to the cloud to meet retention requirements. A retail chain might analyze customer flow on-site but aggregate trend data in the cloud for HQ-level insight. Hybrid gives organizations the flexibility to optimize cost, compliance, and performance. Regulatory realities It’s also worth noting that not every organization can, or should, store data in the cloud. Privacy regulations like GDPR in Europe or similar laws elsewhere require strict control over where data is stored. In many cases, sensitive footage must remain in-country. Edge and hybrid models can make compliance easier by minimizing unnecessary data movement. Conclusion: Smart security starts at the edge The next wave of innovation in physical security won’t come from bigger cloud servers or faster internet connections. It will come from smarter edge devices, with cameras and sensors that don’t just record, but understand and classify events. And the foundation for that intelligence isn’t just AI, but how that AI is deployed. Containerization via platforms like Docker is unlocking new levels of flexibility, security, and scalability for the physical security industry. By embracing open standards, supporting modular applications, and rethinking how data flows through the system, physical security professionals can build solutions that are not only more effective but also more sustainable, secure, and adaptable. The cloud still has its place. But the edge is essential to the future for real-time intelligence, mission-critical uptime, and cost-effective deployment.

Retailers now often find themself in a precarious situation. Profit margins are being squeezed by widespread shoplifting: The Council on Criminal Justice reports that between the first half of 2023 and the first half of 2024, shoplifting reports increased by 24%. Meanwhile, the strategies used by shops to deal with this situation are alienating consumers and affecting total sales. Andy Jassy, the CEO of Amazon, stated during an earnings call that customers are now purchasing more pharmaceuticals from Amazon in response to other retailers locking their cabinets. Media reports This crisis impacts not only the large chains—more than 7,100 retail stores were closed in the U.S. in 2024, a 69% increase from the previous year—but also small, local businesses, whose profit margins are even narrower.  Media reports out of Los Angeles show that small businesses in regions with greater shoplifting rates are more likely to close, and small business owners' job satisfaction and general well-being are negatively impacted by the fear of crime. How to safeguard staff and inventory Unchecked retail theft demoralizes staff and makes the store less attractive to customers This is obviously not a sustainable situation. In addition to lowering revenue, unchecked retail theft demoralizes staff and makes the store less attractive to customers.  Unfortunately, making customers wait in line to enter a store or locking up toothpaste and deodorant only makes the customer relationship worse. Retailers need to figure out how to safeguard staff and inventory without alienating their customer base—and they need to figure it out fast. Advanced video security A new tool has come to the forefront of this fight: advanced video security. Of course, video surveillance has been used in stores for many years. However, the technology currently being used to reduce retail theft is very different from the outdated analog video systems of the past. With features like cloud-based flexibility and AI-enhanced analytics, this new generation of video surveillance systems has all the advantages of modern technological advancements, while also providing businesses with a competitive edge in the fight against retail theft. Security's new AI video standard Workers are constantly rushing from aisle to aisle in an effort to satisfy eager consumers Although the typical chain pharmacy may appear straightforward to the customer, retailers are aware of how intricate these spaces are. Hundreds or even thousands of shoppers may come and go on any given day, with a larger volume during busy seasons like holidays or special promotional events.  It's common for shoppers to pick up merchandise and put it down in another part of the store, often far away from its original location. Meanwhile, workers are constantly rushing from aisle to aisle in an effort to satisfy eager consumers, particularly during these busy seasons. How much can recorded videos reveal in a busy Using traditional CCTV, managers and security teams can monitor some of this activity, but their viewpoint of events will always be incomplete.  There is a limit to how much recorded videos can reveal in busy, fast-paced customer situations, and even the largest chain stores lack the staff and resources to continuously sort and evaluate all of the data they collect. When more customers are in the store for a special event, there’s also naturally a higher risk of theft. New generation of video security Using machine learning algorithms trained on large amounts of retail-specific data The new generation of video security aims to provide retailers with comprehensive intelligence that covers all aspects of their operations.  Using machine learning algorithms trained on large amounts of retail-specific data, they are focused on predictive actions and can recognize problematic behavior in real time from raw video footage. AI-powered surveillance For example, if someone entered a store with empty bags but bypassed the cashier and started heading to the exit with a full bag, AI could predict a potential theft before it happens. Instead of just recording the theft, security action could be triggered in the moment. AI-powered surveillance is like an all-seeing security officer, quickly analyzing the thousands of variables at play and spotting the warning signs of a possible crime before it happens. This is especially crucial during the holidays and busy shopping periods. Security personnel required to monitor cameras Imagine a chain store with 500 locations and 32 cameras each: that’s 1,600 cameras Cameras with AI can also alert human security personnel of events that would have otherwise been missed. Imagine a chain store with 500 locations and 32 cameras each: that’s 1,600 cameras. Now just imagine the number of security personnel required to monitor all of those cameras – when it comes down to it, traditional security is a numbers game. AI is the differentiator here that will allow retailers to win this game. VSaaS: A new tool to Deter Theft The emergence of Video Surveillance as a Service (VSaaS), a surprisingly under-discussed aspect of the broader SaaS revolution, is an important part of video security’s evolution. VSaaS solutions are especially helpful for chains that require a high level of centralization and coordination across hundreds or even thousands of locations. In addition to offering action alerts at the shop level, VSaaS offers comprehensive security systems accessible from any location. This gives corporate headquarters access to complete, aggregated insights on all aspects of business operations. Identify the best ways to deploy staff Retail operators are constantly in a state of triage, rushing to identify the best ways to deploy staff This is significant in part because of the importance that social engineering and store layout have in preventing theft. Stores are frequently more busy during specific hours than others, and consumers may congregate in particular areas of the store while others are comparatively empty.  Retail operators are constantly in a state of triage, rushing to identify the best ways to deploy staff and organize inventory while accounting for all of these variables. Cloud-based VSaaS solutions Cloud-based VSaaS solutions help streamline this process by eliminating uncertainty, highlighting blind spots and bottlenecks, and informing retailers of what truly works.  Another regrettable reality is that employees frequently steal from businesses they work at.  Here, too, VSaaS solutions—when combined with sophisticated, integrated access controls—are essential. AI analytics technology Implementation and deployment of VSaaS is also easier and less costly than CCTV Implementation and deployment of VSaaS is also easier and less costly than CCTV. When new AI analytic updates become available, the client software and hardware don’t need to be upgraded, and the onsite technology and cameras also don’t need to be replaced. The AI analytics technology is upgraded in the cloud, enabling faster deployment and implementation of new technology. New VSaaS solutions Theft will always occur at some level; it's just a part of doing business. However, the growth in shoplifting that retailers have experienced in recent years is unacceptable, and if these figures keep rising, the consequences will be disastrous. In a time of dire need for retail, new VSaaS solutions have come to the forefront and are already turning the tide.

Deploying artificial intelligence (AI) tools should be seen as a business initiative rather than a technology initiative, says Martin Soukup, CTO of Solink, a cloud-based video security and data intelligence platform. The approach makes a difference that plays out in practical terms. A technology initiative is tactical and solution-oriented, often solving an isolated problem within a single department's silo. In other words, it might solve just a security problem. In contrast, a business initiative is cross-disciplinary, driven by executive leadership to impact the entire organization in a measurable way. “Viewing AI tools as a business initiative ensures they adapt to multiple departmental needs and drive high-level strategic growth rather than just fixing a localised technical issue,” says Soukup. AI platform combines video and business systems Demonstrating the value of embracing AI as a business initiative is Solink’s new video intelligence platform Demonstrating the value of embracing AI as a business initiative is Solink’s new video intelligence platform that combines video with business systems to detect threats and send real-time alerts. The capabilities are designed to help security teams operate smarter and more efficiently, supporting the next generation of lean, intelligence-driven security operations centers (SOCs). And benefits of the platform extend beyond security to include other parts of the business. “At the end of the day, video cameras only tell part of the story, much like looking at a 2D shape,” says Soukup. “They capture dimensions and colors, but only from a single perspective, even with powerful AI analysis providing traffic metrics, wait times, product interaction, and compliance logs. The addition of operational data, such as inventory, shipping, labor, and sales data, fills out that shape into 3D, adding critical context.” For example, while a camera simply shows three people standing in a line, and AI data flags that those individuals have been waiting for over five minutes, operational data lets you know also that a cashier has not checked into their shift yet. Combining these data streams gives businesses full situational awareness, turning passive observation into immediate, contextual intervention. AI agents handle repetitive tasks The Solink platform uses AI Agents, which are software that operates autonomously to handle manual, repetitive, or high-volume tasks based on specific instructions and tools. For Solink users, AI Agents unify their existing camera and data source investments into a single automated workflow. “AI Agents transform Solink from a security tool into an operational investment that benefits all departments,” says Soukup. “Modern operational leaders are turning to AI to scale productivity without increasing overhead.” Integrating business intelligence Operations checks compliance, loss prevention investigates theft, and security assesses threats Customers already use Solink to centralize video, integrate business intelligence, and trigger real-world responses like real-world alerts, two-way communication, or smart locks. AI Agents tie these pieces together, analyze the data and identify what matters most, and then take action either without human intervention or with humans in the loop. Businesses currently watch video manually across separate workflows. Operations checks compliance, loss prevention investigates theft, and security assesses threats. However, a human must always watch the footage to get results. Solink AI Agents automate this entire workflow. If an operational event can be seen on camera and matters to the business, a Solink Agent can be integrated to automatically review, assess, and trigger the next step in the workflow across hundreds or thousands of locations simultaneously. Calling all stakeholders to the discussion When discussing applications, stakeholders should include revenue and marketing officers, compliance officers, and line-of-business executives. Agents leverage existing infrastructure by adding an intelligent automation layer that drives efficiency and grows revenue across the entire organization without large capital investment. Solink AI Agents will not replace employees; they empower lean teams to maximize their existing resources. Job descriptions will shift toward human-in-the-loop workflows where humans and machines collaborate. The AI Agent handles the high volume, filtering out noise and processing data at scale. Human employees set up and guide the Agents, give feedback to improve performance over time, and step in to make final decisions, managing the nuanced situations that require critical thinking, empathy, and deep context. Passive data visualization In contrast, a Solink AI Agent is deployed with a clear mandate for a specific task, deliverable, or outcome Given the convergence of physical and digital security, AI Agents, not dashboards, are the right unit of enterprise AI deployment. Dashboards typically aggregate data without evaluating the context or importance of the source. Data looks identical whether it comes from 10 sources or 100. In contrast, a Solink AI Agent is deployed with a clear mandate for a specific task, deliverable, or outcome. This approach shifts the focus from passive data visualization to active intent, creating a direct path of accountability and clear attribution for business results. With dashboards, everyone can see the problem, but nobody owns it. An agent with a mandate either did the job or it did not, and you can audit exactly what it saw and why it acted or did not. Overcoming obstacles to deploy AI agents The primary obstacles to integrating AI Agents into the physical security workflow are change management, building trust, and system interoperability. Physical security requires absolute reliability, which demands rigorous initial configuration to establish trust. Furthermore, Agents are only as effective as the data they can access. Overcoming these hurdles requires comprehensive team training, shifting organizational mindsets, and ensuring seamless integration with existing tools so the Agents have the full context needed to execute tasks accurately and integrate with human workflows seamlessly. Addressing common security challenges Several use cases are driving the deployment of AI Agents among Solink's customers Several use cases are driving the deployment of AI Agents among Solink's customers. Overnight guarding, loss prevention, and store readiness will be the first wave of use cases. These are proven, high-frequency scenarios in which Solink provides pre-built template Agents to address common security challenges out of the box. The second wave of use cases will include highly customisable occupancy tracking, health and safety, and food quality. Pre-built template Agents are coming for these next. In addition, custom, niche operational use cases can be tailored to a specific business environment. Just like hiring a specialized contractor, companies can deploy custom Agents to tackle unique operational challenges rapidly across all locations. Measuring the effectiveness of AI agents The effectiveness of AI Agents can be measured by multiple factors. Core Accuracy, and consistency and accuracy of detections and automated outputs. Business Outcomes delivered, such as reduced inventory loss, reduced fraud, and faster incident resolution. Financial Impact, measured through recovered budget, reduced operational overhead, and increased per-store conversion. There is a perception that AI Agents possess predictive or flawless capabilities, like stopping crime before it happens or operating perfectly in dark, chaotic environments. Not true, says Soukup. AI cannot understand ambiguous requests like "look for suspicious activity." Success requires explicit parameters, tools, and skills, defining what is acceptable, what is unauthorized, and how to handle the gray areas. Another misconception is that Agents need a fundamentally different security model than people. “I run security for this company as well as engineering, and I hold our own Agents to the same standard I would hold a third-party vendor,” says Soukup. “That means least privilege, full audit trails, anomaly detection, random audits, and no action they can't explain after the fact.”

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.

Hochiki Europe has completed a new fire detection system at 334 Oxford Street, a mixed-use retail and office development on one of Europe’s busiest shopping streets. Hall & Kay Fire installed the system, which is based on Hochiki’s ESP open protocol. It protects 11 storeys and a site capacity of 7,915 occupants. The installation had to be completed within a tight program while fire protection was maintained across the building’s basement, ground floor and nine upper floors. Hochiki’s electronics-free YBN-R/3 common mounting base accepts the majority of the ESP range, which helped Hall & Kay cut cabling time and stay on schedule. Where cabling would have affected the finished interior, Hochiki’s hybrid wireless system was installed. It connects to the ESP loop and forms a self-configuring mesh network, routing each signal through the strongest available path. Hybrid wireless system “With the project having a specific deadline, we understood all the requirements needed to deliver a fully functional fire system on the site,” said Rikki Farrah, Project Manager at Hall & Kay Fire. “Hochiki’s systems simplified installation and reduced downtime, which enabled more time for testing.” The ESP open protocol allows Hochiki addressable products and a wide range of third-party devices to share the same loop, which helps keep maintenance costs down. Each device reports its precise location when activated, so building management can identify the device in alarm on any floor and respond quickly. All devices were installed in white to suit the building’s interior and keep detection discreet. Keeping detection discreet Nine networked Latitude panels with graphics software monitor the whole system. Latitude is certified to EN 54-2, EN 54-4 and EN 54-13, which met the end user’s requirement for full standards compliance. Its plug and play peripherals, such as relay cards and repeater panels, allow the system to be extended as the building’s retail and office spaces grow. Neil Eves, Head of Major Projects and Specifications at Hochiki Europe, said: “This prestigious building demanded the highest level of protection, and its new integrated open protocol system will ensure the building is future proofed for years to come and fully upgradable as the building’s retail and office spaces expand.”

Discover how OpenEye Web Services empowered a major U.S. grocery chain to streamline its operations and simplify the management of its video security for more than 140 stores with over 15,000 cameras. Select Systems has been a trusted provider of security solutions for over 30 years, serving grocery stores, retail outlets, and other businesses in the western U.S. Streamlining user management When their long-time customer, a major U.S. grocery chain, approached Select Systems looking to make the move to IP, they requested Select connect with OpenEye and develop an IP solution for new store locations. The hardware is managed through OpenEye Web Services (OWS), which streamlines user management, reduces IT workload, provides actionable intelligence and expedites video export and sharing. In a few short years, Select had installed over 40 stores with the IP solution from OpenEye. During this time, Select Systems was maintaining about 100 existing analog stores. What began with modernizing one store, grew to more than 140 locations with over 15,000 cameras. Providing actionable intelligence Learn how OpenEye Web Services enabled the national chain to manage its system more remotely and simplify operations by increasing staff access to video. The grocery chain ultimately chose the OWS platform because OpenEye listened to their feedback and developed several new features to specifically address their operational needs: Streamlined user management Reduced IT workload Actionable intelligence Expedited video exporting and sharing

Bargain Hunt successfully consolidated their security system by selecting Alarm.com for intrusion and access control, and OpenEye Web Services (OWS) for commercial video surveillance. Bargain Hunt is a retail discount store that carries overstock and returned brand-name merchandise at deeply discounted prices. The retail chain operates 85 stores within a 400 mile radius of Nashville, Tennessee. Legacy security systems Bargain Hunt experienced rapid growth in recent years, increasing from 30 to over 80 retail locations and 2 distribution centers. As a result, they acquired numerous legacy security systems that were complex and required specialized training. As their retail footprint grew, Bargain Hunt needed a security and loss prevention solution that would allow their Loss Prevention team to easily monitor theft and safety in stores and distribution centers. Learn how OpenEye allowed them to bring their locations together in a single, centralized portal to standardize security and strengthen loss prevention efforts.

The challenge: Fifth Third Bank is one of America’s largest and fastest-growing financial institutions, with more than 1,500 financial centers and approximately 80 high-rise, high-density facilities across the United States. Referred to internally as financial centers, these branches serve as the primary touchpoint for customers and communities. As the bank expands beyond its Midwestern roots into the Southeast and Western markets, its security operations must scale without sacrificing reliability, compliance, or employee safety. “When we think about the branch of the future, we think about choices,” said Thomas Neltner, Director of Enterprise Workplace Services and Chief Security Officer at Fifth Third Bank. “March Networks gives us a strong foundation that lets us evolve at the right pace while maintaining the security and governance a bank requires.” That foundation is put to the test every day inside Fifth Third’s 24/7 Security Operations Center. Security concerns arise The solution: At the heart of Fifth Third’s security strategy is a centralized Security Operations Center that operates around the clock. It functions as the bank’s internal emergency response center, giving employees a direct line to live support when safety or security concerns arise. “Our Security Operations Center is the 911 center for Fifth Third,” said Darrin Steinmann, Vice President and Director of Corporate Security Investigations, Security Operations, and Security Strategy. “When employees call with a concern, we respond in real time with video, alarms, and coordination with law enforcement.” To support this mission across a rapidly expanding footprint, Fifth Third standardized on March Networks video surveillance and enterprise management software. Multi- sensor cameras Fifth Third has partnered with March Networks since 2004. Over more than two decades, its video infrastructure has evolved through multiple generations of technology, from early 4000 Series recorders to the 8000 Series and now the X-Series platform. This long-term approach has delivered continuity, stability, and a clear path for modernisation at scale. Today, March Networks supports more than 1,500 financial centers and 80 high-rise and high-density locations. The deployment includes more than 30,000 cameras and over 1,100 recorders, all centrally managed through a single platform. The camera environment is purpose-built for banking. It includes EL20 multi- sensor cameras for broad coverage, 360-degree cameras to eliminate blind spots, dome cameras for teller and lobby areas, and dedicated ATM cameras designed to capture clear facial images. “When you are responsible for security across this many locations, you need technology you do not have to worry about,” said Jason Walter, Senior Security Strategy Manager at Fifth Third Bank. “March Networks gives us that confidence.” Sharing critical information One of Fifth Third’s most impactful initiatives has been the rollout of exterior cameras across its branch network. Now approximately 60 percent complete, the program delivers full perimeter visibility around financial centers. That visibility has changed how the bank responds when incidents move beyond the branch interior. Teams can track suspects, identify vehicles, and share critical information with law enforcement in real time. “Our exterior cameras have changed the game,” Walter said. “They help protect our people, support law enforcement, and have driven apprehension rates above 80 percent.” Faster arrests also improve cash recovery and reduce long-term financial impact. Beyond investigations, exterior cameras support day-to-day operations. Property management teams use video to assess storm damage, snow removal, vandalism, and hurricane impacts without sending staff into unsafe conditions. Legal, retail, and fraud teams rely on video to verify incidents and resolve claims more efficiently. Law enforcement investigations Security at Fifth Third extends beyond the branch itself. Exterior coverage has strengthened the bank’s role as a community partner, providing video that supports law enforcement investigations for incidents occurring on or near bank property. From pedestrian accidents to crimes in adjacent areas, Fifth Third regularly assists local agencies through lawful video requests. The result is faster resolution, safer neighbourhoods, and a visible commitment to being a responsible corporate citizen in every market Fifth Third serves. Fifth Third’s technology strategy balances innovation with fiscal responsibility. The bank is midway through a multi-year upgrade from legacy 8000 Series DVRs to March Networks X-Series recorders. This phased approach extends the life of existing analog cameras while preparing the environment for future IP, hybrid, and cloud adoption. Health monitoring solution “The on-prem foundation gives us the control and cybersecurity confidence we need,” Walter said. “That puts us in a strong position to move toward hybrid and cloud solutions on our terms.” All locations are centrally managed through the March Networks Command platform. Security and IT teams can deploy firmware updates, apply patches, and monitor system health across the entire network without closing branches or disrupting operations. March Networks’ health monitoring solution also reduces unnecessary site visits by identifying issues remotely, helping lower operational costs and keep teams focused on higher-value work. Customer experience challenges Advanced use cases continue to emerge. In colder climates, for example, ATM vestibule loitering can create safety and customer experience challenges. Video analytics alert the Security Operations Center when someone remains in a vestibule without conducting a transaction. Analysts can verify the situation with live video, use two-way audio to request compliance, and escalate to law enforcement when necessary. “When an employee is dealing with a critical incident, having someone live on the phone, watching the video, makes a real difference,” Steinmann said. “That support matters in high-stress moments.” Safer banking environment The result: The relationship between Fifth Third and March Networks spans decades and is rooted in trust, accessibility, and collaboration. “I have worked with March Networks for over two decades,” Steinmann said. “They are not just a vendor. They are an extension of the Fifth Third family, and that level of access, support, and responsiveness matters.” As Fifth Third continues to evaluate AI, analytics, and cloud technologies, governance and compliance remain central to every decision. A strong on- premise foundation gives the bank flexibility to adopt hybrid and cloud solutions, including platforms like Searchlight Cloud, which links video with teller and ATM transactions for more intelligence, while meeting the cybersecurity requirements of a large financial institution. The result is a safer banking environment, stronger partnerships with law enforcement, and a scalable security strategy that supports Fifth Third’s continued growth.

Milestone Systems, a provider of open platform video management software (VMS), is helping Resorts World Las Vegas (RWLV) bring together security operations, investigations, gaming compliance, and operational intelligence through an open platform video ecosystem built on Milestone XProtect VMS. Located on the iconic Las Vegas Strip, Resorts World Las Vegas is one of the newest and most technologically advanced resorts in the United States. Opened in 2021, the $4.3 billion property spans 88 acres and includes multiple hotel brands, a large casino floor, entertainment venues, retail spaces, and dining experiences that collectively attract thousands of guests each day. Diverse set of technologies Managing safety, compliance, and operational efficiency at this scale requires highly reliable and flexible video technology capable of supporting thousands of cameras and multiple specialized applications. Milestone XProtect VMS serves as the backbone that connects approximately 5,800 cameras and multiple best-of-breed technologies. The open architecture enables Resorts World to integrate a diverse set of technologies that support gaming surveillance, fraud detection, forensic investigations, business intelligence, and operational analytics while allowing operators to work from a consistent interface. "We rely on the system every day to investigate fraud, theft, and any activity that could result in a loss. It gives us the visibility we need to quickly understand what happened and take action," said Lindsay Dever, CFE, Assistant Director of Fraud & Nightclub Surveillance, Resorts World Las Vegas. Supporting regulatory requirements The full security system integrates camera technologies from Axis Communications, Bosch, and Hanwha Vision, while BriefCam supports forensic video review, people counting, and heat mapping. Oosto provides facial recognition capabilities, Aeyesky supports card-counting and cheating detection, and AXIS Case Insight helps analyze foot traffic and customer behavior. “Large, dynamic environments like Resorts World Las Vegas require technology that can adapt to multiple operational needs without adding complexity,” said Tim Palmquist, VP Americas, Milestone Systems. “An open platform approach allows this Las Vegas casino resort to bring together best-of-breed technologies into a single ecosystem, enabling teams to improve investigations, support regulatory requirements, and generate operational insights that extend well beyond traditional security.” Time-sensitive investigations Resorts World Las Vegas is able to respond to incidents more quickly, conduct investigations more efficiently, and support law enforcement with speed and confidence. The impact is particularly evident during time-sensitive investigations. Looking ahead, the resort plans to expand its use of AI-driven capabilities, including enhanced people counting, behavioral analytics, and tools that can better track guest movement across the property. Future enhancements will also focus on streamlining operator workflows and creating a more proactive approach to investigations.

Stadiums and arenas are no longer places that come to life only on an event day. Increasingly, they are becoming year-round hubs for concerts, conferences, hospitality, retail, and community activity. The Tottenham Hotspur Stadium is one such example of a venue generating additional revenue and audiences beyond football matches, with its 2025 commercial income rising from £255.2 million to £277.1 million, due to hosting four National Football League (NFL) franchises, high-profile boxing events, and a Beyoncé summer concert series. Positive visitor experience Yet, as these venues grow more complex and multifaceted, so does the challenge of keeping visitors and staff safe throughout the year. Security is no longer simply about responding to incidents.; Instead, it has become a strategic function that enables stadium leadership to tailor security to different event types and risk levels, keep on top of health and safety and maintenance, and add value to marketing, sales, operations, and more. More pointedly, venue operators will soon have to comply with the Terrorism (Protection of Premises) Act 2025, better known as Martyn's Law, which received Royal Assent in April 2025 and is expected to come into force in spring 2027. With less than a year before implementation is anticipated, organizations responsible for large publicly accessible venues are increasingly assessing how they can strengthen preparedness while maintaining a positive visitor experience. Wider readiness strategy Named in memory of Martyn Hett, a victim of the Manchester Arena attack in 2017, the legislation introduces new responsibilities for venue operators to consider the risk of terrorism and put appropriate measures in place to help prevent, respond to, and reduce the impact of a terrorist attack if it occurs. Notably, for venues with attendees of over 800 people, physical protection such as video surveillance, vehicle access control, ground security, and more, must be considered and evaluated on a regular basis. AI-powered video solutions can help organizations meet their obligation under Martyn’s Law as part of a wider readiness strategy. Video surveillance systems Traditional video surveillance systems have always played a critical role in venue security, but their effectiveness has often relied on human operators monitoring dozens, or even hundreds, of video feeds simultaneously. In busy environments, critical details can be missed, particularly when security teams are managing large crowds, multiple entry points, and fast-moving situations. With AI-powered cameras and video management systems (VMS), operators no longer need to continuously monitor multiple video, chat, and sensor data streams. Instead, AI does the monitoring, flagging any suspicious activity, unauthorized objects (people and vehicles), crowd congestion, and so on, for operators to respond to if needed. Operators are freed up to focus on other activities, while the system will quickly alert them to events that require intervention, helping them respond to events rapidly and prevent situations from escalating. Ground teams also benefit from contextual, AI-powered insights that can help them track and locate a person or vehicle of interest, such as clothing color, direction of travel, and if they are potentially carrying a weapon. Multi-directional models By enabling security teams to assess and respond to situations before they develop into something more serious, venues are better prepared for some of the objectives underpinning Martyn's Law. The legislation places particular emphasis on preparedness, requiring organizations to consider how they would respond to incidents through measures such as evacuation, lockdown procedures, and effective communication. Situational awareness is fundamental to all four. Modern-day cameras equip operators with high-definition footage of an event or object of interest. Most cameras available on the market start at 1080p definition, with 4MP, 6MP, 8MP or 4K resolution options. Camera form factors have also improved, with dome, flat eye, bullet, fish eye, pan-tilt-zoom (PTZ), thermal, and multi-directional models providing venues with a range of options to fit any sized area and surveillance need. Monitoring crowd movements Real-time intelligence from video surveillance provides operators with a clearer understanding of what is happening across a venue and its surrounding environment. Vitally, AI-powered video analytics and AI object detection help operators to avoid missing events that need their attention and action. During an emergency, security teams can monitor crowd movements, identify potential bottlenecks, move towards the last known location of a potential attacker, and direct the public away from dangerous areas. Information on an attacker’s location, physical appearance, and direction of travel, plus the location of any casualties or people hiding within the venue, can be shared with on-site personnel and emergency services, helping to coordinate a faster and more efficient response. Multiple analytics triggers To further refine operator response times and efficiency, alerts can be set based on multiple analytics triggers, for example, if a person is detected crossing a line and then remains in a pre-defined area for a set number of seconds. For post-event investigations, operators can search footage quickly using the metadata stored within video. For example, they can pull up all footage of all people wearing a grey top, or, to filter this further, a child wearing a grey top. This improves the efficiency and speed of carrying out investigations. Generative AI tool Moreover, if a video analytics tool supports it, operators can use an AI-powered search feature that enables them to input a phrase or sentence of what they are looking for, with the system showing them all relevant results. This feature, known as semantic search, is a more natural way of searching akin to prompting a generative AI tool to come to a result. Operators can also select a specific area of interest to view all footage related to that area, allowing them to quickly find motion within that area. They can see all motion within that section on all captured video footage, to see, for example, who left a suspicious package in a room. Some video analytics systems can also pull footage of similar objects across multiple cameras, which can help track the direction of a vehicle or person of interest as they move across a busy and large event space. Wider entertainment districts Modern venue security increasingly extends beyond the perimeter fence or turnstile. Many new stadium developments are embedded within wider entertainment districts, retail destinations, and mixed-use communities. As a result, operators are responsible for understanding activity not only inside a venue but also across surrounding public spaces where large crowds gather before and after events. AI-enabled video helps operators to monitor large areas efficiently, maintaining situational awareness across multiple locations and mixed-use premises (the arena, retail, transport links, storage and backroom areas, and so forth). Operators gain a comprehensive understanding of potential risks and a stronger ability to respond before issues escalate. AI-powered video analytics There are also value-added benefits to other departments, such as marketing, sales, maintenance, staffing, and cleaning. Understanding and predicting busy periods and crowd flow patterns, alerting to long queue lengths, identifying congestion points, and monitoring vehicle movements and parking spaces all help to improve the visitor experience and streamline event operations. This is particularly useful for multi-use venues where one day a football match may be hosted, the next day a corporate event, and the following day a concert, with different stadium areas being used each time. Operators need visibility of how people move through their spaces and where resources are best deployed. AI-powered video analytics can provide that intelligence in real time. Venue leaders have a short window of opportunity to strengthen their security strategies ahead of Martyn’s Law coming into force. Investing in AI-powered video security shifts security into a proactive, value-generating function that meets the needs of today’s multi-use event spaces and helps to deliver the visitor experience that attendees have become accustomed to.

Historically, physical security systems have protected retail companies’ assets, people, and profits. Security prevents theft (shrinkage), while maintaining order and ensuring a safe environment for customers and staff. Today’s retail business is changing by leaps and bounds, driven in large part by technology advances. Newer physical security systems are finding new ways to deter crime and provide operational data, in the process preserving brand reputation and ensuring the business remains viable and welcoming. We asked our Expert Panel Roundtable: What's new in retail applications for physical security?

Video storage has come a long way since rooms full of VCRs stored video from an entire system of cameras. Video storage equates to data storage, and there are multiple options ranging from hard disk storage to the cloud to storage on each individual camera using SD cards. Increasingly, cloud-based storage is an attractive option to store video footage conveniently and safely. We asked this week’s Expert Panel Roundtable: How is expansion of video storage capabilities impacting the security industry?

Headlines of violence in our schools are a reminder of the need to keep educational institutions safe. In fact, if there is a positive aspect to the constant bombardment of headlines, it is that it keeps our attention perpetually focused on how to improve school security. But what is the role of physical security systems? As the new school year begins, we asked this week’s Expert Panel Roundtable: Are schools safer because of physical security systems? Why or why not?