The human edge in AI-powered threat detection by Andrew Robbins, Director of Security, Risk and Resilience, OCS UK & Ireland
AI-powered surveillance is reshaping how organisations think about physical security. But amid the rapid evolution of machine learning and intelligent threat detection, one thing is becoming clear: the best defence is a human one – supported, not replaced, by technology.
At OCS, where security professionals work across diverse public and private settings, we’re seeing AI change the shape of threat response – but its true power lies in helping people do their jobs better. From improved risk profiling to faster decision-making, surveillance is no longer just about watching, but about actively interpreting and acting. And it’s this ability to act – to prevent rather than just record – that defines a modern, resilient security operation.
Surveillance that supports frontline decision-making
Historically, surveillance has relied on manual oversight and reactive alerts. Now, systems driven by AI can monitor behaviour, detect anomalies, and flag unusual activity in real-time. But the value lies in how that insight is applied. It’s not about relying on algorithms to take over judgement – it’s about equipping trained security personnel with more context, more quickly.
An example we’re seeing more of is the use of behavioural analytics in high-footfall areas – identifying subtle indicators that may point to risk, such as loitering, pacing, or abnormal movement patterns. These can prompt a live review by a security officer, leading to an early intervention before a situation escalates. It’s the difference between responding to an incident and preventing one.
Turning intelligence into action
One of the real strengths of AI-led surveillance is its ability to contextualise information. In busy environments – such as transport hubs, large corporate campuses, or critical infrastructure – decision fatigue can be a real risk. AI helps by triaging alerts, removing false positives, and allowing teams to focus on what matters most.
Take, for example, how AI can distinguish between someone simply adjusting a backpack and someone potentially concealing a prohibited item. This level of intelligent filtering reduces noise and improves focus, enabling faster and more appropriate responses.
For larger organisations operating across multiple sites, this type of surveillance provides a unified view – connecting data points across locations to build a real-time security picture. This means quicker escalation routes, better coordination with law enforcement if needed, and a more strategic approach to site-wide threat mitigation.
Public confidence starts with transparency
With any advancement in surveillance comes a duty to balance public safety with privacy. It’s one thing to spot risks early; it’s another to do so in a way that builds trust. We’re increasingly working with customers to ensure the ethical deployment of AI – using clear signage, engaging colleagues, and ensuring data protection is a foundational part of any surveillance upgrade.
This focus on transparency is critical – particularly in public-facing environments where security interventions must be proportionate, visible, and justifiable. People need to know not just that they are being protected, but how and why those measures are in place.
The road ahead: augmented security, not automated security
What we’re looking at isn’t a shift towards machine-run surveillance, but a model where AI augments human expertise. Emotional AI, multimodal systems, and integrated platforms all have a role to play – but only when deployed thoughtfully and with people at the centre.
At OCS, this means focusing not just on the technology itself, but on how it’s implemented, understood and maintained. Our work during Resilience Week reinforced this: security isn’t just about tools – it’s about confidence, communication and culture.
Security professionals will always be the frontline. AI’s role is to give them the best possible tools to do their job safely, effectively and with better insight. Surveillance may be getting smarter, but people remain its most important asset.