Practical AI for Physical Security: A Playbook for Practitioners Who Want to Lead, Not Lag

Yogesh Ailawadi headshot
Yogesh Ailawadi, a member of the SIA AI Advisory Board. is senior vice president of products at Alert Enterprise.

Artificial intelligence is no longer a future-state conversation confined to IT, innovation labs or strategy decks. It is here, moving fast and reshaping how enterprises expect work to be done. For physical security teams, this shift can feel both energizing and unsettling. Many practitioners carry a healthy skepticism toward emerging technologies, informed by decades of balancing safety, compliance and operational continuity. That skepticism is not a weakness. In the AI era, it is a strength. The opportunity now is to pair that risk-aware mindset with a practical roadmap for adopting AI in ways that enhance control, reduce friction and meaningfully elevate security outcomes.

Start With Tasks, Not Technology

AI’s early wins in physical security are coming from a straightforward idea: automate the work that humans shouldn’t have to do. Routine identity and access tasks, data lookups, badge life-cycle management, visitor validation and reporting workflows are all good candidates. AI assistants and workflow engines are proving effective when the scope is clear, the rules are well defined and the data is governed. Start small. Select one or two repetitive processes. Measure the cycle time improvements and downstream risk reduction. Build from there.

Establish Guardrails Before You Scale

Every organization needs clear policy lines for AI. These include data residency and privacy requirements, limits on what sensitive information AI can process and verification steps when AI recommends or executes a security action. Codifying these principles early on positions physical security as a co-owner of governance, not a bystander watching other departments set the rules.

Keep a Human in the Loop

High-risk decisions still require human judgment. AI can surface insights, flag anomalies, draft actions or execute low-risk steps, but practitioners should maintain oversight. This preserves accountability and builds organizational trust in the technology, and, importantly, reinforces the value of physical security teams as stewards of identity, safety and operational resilience.

Use AI to Strengthen Cross-Functional Alignment

Physical security programs are tied to HR, IT, legal, facilities, procurement and risk functions. AI gives teams a shared language for improving process efficiency, tightening controls and reducing duplicate work. Lean into this. Joint AI initiatives across these functions have shown faster return on investment and smoother adoption curves than siloed security efforts.

Future-Proof Through Skills, Not Speculation

AI will evolve rapidly, but its foundational value to physical security will remain fixed: augment people, enforce policies and ensure that identities and access behaviors reflect real-world conditions. Practitioners who invest today in skills like prompt engineering, data interpretation, workflow design and cross-functional governance will be the ones shaping—not reacting to—the next wave of change.

The views and opinions expressed in guest posts and/or profiles are those of the authors or sources and do not necessarily reflect the official policy or position of the Security Industry Association.

This article originally appeared in All Things AI, a newsletter presented by the SIA AI Advisory Board.