AI Resilience Report forManagers, All Other

If you're worried about AI taking over a security manager's job, here's some good news: most of the work in this role is being augmented — meaning AI is helping people do their jobs better — rather than fully automated. According to an industry analysis of physical security in 2026, AI is reshaping operations at a pace few anticipated, with video analytics, behavioral recognition, and automated event correlation now reducing noise and improving situational awareness. But humans still call the shots: physical security managers must understand what their AI systems are doing and where human judgment must remain central — AI should augment human operators, not replace accountability.

AI is mostly handling the high-volume, repetitive parts of the job — like watching camera feeds, flagging suspicious events, and drafting reports — while managers focus on planning, supervising teams, and handling sensitive investigations. A Harvard Business Review piece notes that companies are still bullish on AI spending heading into 2026 ^[1], but a McKinsey-cited report shared by Rochester Business Journal ^[2] found that while 90 percent of companies reported investing in AI, fewer than 40 percent are seeing "meaningful impact" on the bottom line. So adoption is real, but managers are very much still needed.

Adoption in security management is moving fast in some areas (cyber monitoring, video analytics) but slower in others (budgeting, leadership, investigations). On the speed-up side, AI tools that watch cameras and detect threats are widely available now, and they save companies money on routine monitoring. One HR leader interviewed described breaking every role into three buckets: tasks AI can own completely, tasks where AI assists but a human decides, and tasks that should stay fully human — and security manager work falls heavily into the last two buckets.

On the slow-down side, there are real barriers. Used poorly, AI can create false confidence, introduce bias, or overwhelm operators with continuous alerts — so the challenge in 2026 is not whether to use AI, but how to implement it responsibly. Trust, legal liability, and ethics matter enormously when you're protecting people and property.

The Brookings Institution recently cautioned ^[3] that evidence on how AI is affecting jobs is still inconclusive, so companies are being careful not to over-rotate. Managers themselves are also part of the bottleneck: an HBR analysis from April 2026 ^[1] describes a growing gap between what executives expect and what frontline managers actually experience with AI tools. The skills that stay valuable — judgment, leadership, ethics, communication, and the ability to handle a crisis with real humans — are exactly the ones AI struggles with, and they're worth investing in.