Securitas predicts AI security shift
- Securitas Technology said physical security is shifting from cameras and guards alone toward AI, cloud software, and sensor-heavy systems that predict trouble earlier. - Its 2026 outlook surveyed 4,540 clients in 17 countries; 79% plan to use generative AI, and 34% expect full cloud security within five years. - That matters because security buying is moving toward software, integration, and remote operations — not just more hardware at the door.
Physical security is starting to look a lot more like software. That is the real story inside Securitas Technology’s 2026 outlook. The company is arguing that cameras, access control, and alarms are no longer the whole system — the value is shifting to AI that interprets events, cloud platforms that centralize operations, and sensors that pull in more kinds of data. Basically, security teams are being pushed from watching incidents happen to spotting patterns before incidents escalate. ### What did Securitas actually release? Securitas Technology released its 2026 Global Technology Outlook Report on October 7, 2025. It is the company’s eighth annual report, and it pulls from a survey of 4,540 clients and end-user decision makers across 17 countries, plus input from technology partners and internal experts. That matters because this is not just a vibes deck — it is meant to steer actual security spending plans. (securitastechnology.com) ### What is the main claim? The company says security is moving into an “intelligence-led” phase. In plain English, that means the system is supposed to do more than record footage or throw an alarm after the fact. It should help teams anticipate risk, simplify operations, and even generate business insight from the same infrastructure. That is a bigger shift than “better cameras” — it turns the stack into a decision system. (securitastechnology.com) ### Why is AI the center of it? AI ranked as the top emerging technology in the report, with 30% of organizations naming it, and Securitas says 79% plan to use generative AI. The company’s newer strategy write-up goes further — 70% already use some form of AI in security today, mostly for object recognition, intrusion and loitering detection, people counting, anomaly detection, and vehicle analysis. So the near-term shift is not humanoid robots or sci-fi autonomy. It is software that turns video into searchable, triage-ready signals. (securitastechnology.com) ### Why does cloud matter so much? Because cloud changes who can run the system and from where. Securitas says organizations are moving away from on-premise infrastructure toward centralized management and better scalability. In its 2026 cloud follow-up, the company says 18% are fully cloud-based today and 34% expect to be within five years. Video surveillance and access control are leading the move, because those are the easiest places to get immediate gains from remote administration, shared policies, and centralized storage. (securitastechnology.com) ### What are the sensors doing? This is the quieter part of the shift, but maybe the most important one. Securitas says 48% of organizations already use sensors in security, and the point is not just intrusion alerts. Sensors can feed data about safety, compliance, environmental conditions, occupancy, and operational efficiency. That means the security system starts touching facilities, HR, compliance, and operations — not just the security desk. (securitastechnology.com) ### So what changes for buyers? Procurement starts to tilt toward platforms, integrations, and data workflows. If AI is only useful when video, access events, and sensor feeds can be searched together, then the integration layer becomes the product. Buyers will care more about APIs, cloud migration paths, retention policies, and who owns the analytics workflow. The old model — buy hardware, install it, leave it alone — fits this world a lot less well. This is an inference from the report’s priorities, but it is a pretty direct one. (securitastechnology.com) ### What changes for staffing? Security teams need fewer pure watchers and more operators who can manage exceptions, workflows, and cross-functional systems. The catch is that AI does not remove labor so much as move it. Someone still has to tune alerts, validate detections, manage cloud permissions, and work with IT. In other words, the center of gravity shifts from guarding and monitoring toward administration and analysis. (securitastechnology.com) ### What is the bottom line? Securitas is making a strong bet that physical security is becoming a software-defined, data-rich function. If that plays out, the winners will not just be the companies with the most devices. They will be the ones that can connect cameras, credentials, sensors, and AI into one operating layer that helps people act earlier. (securitastechnology.com 1) (securitastechnology.com 2)
