This whitepaper introduces Agentic Physical Security as a transformative framework that shifts enterprise security from reactive monitoring to proactive, intelligent protection. Traditional systems generate massive volumes of data from cameras, access control, and sensors but fail to interpret context, intent, or evolving risk, leaving operators overwhelmed and incidents addressed only after they occur. The paper defines a new model where AI-enabled systems continuously perceive, understand, and act on real-world activity, augmenting human decision-making rather than replacing it. It outlines four foundational pillars—accurate perception at scale, contextual understanding, unified intelligence, and autonomous action—and presents a five-stage maturity path from manual operations to fully ag

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