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The Convergence of Physical and Cybersecurity Through AI Integration

ovsero October 16, 2025

The traditional separation between physical security and cybersecurity is rapidly disappearing as organizations recognize that comprehensive protection requires coordinated approaches across both domains. AI systems are accelerating this convergence by providing platforms that can integrate and correlate information from both physical and digital security systems. This integration creates powerful new security capabilities—identifying coordinated attacks that utilize both physical and cyber elements, correlating physical access events with digital system activities, and providing unified security management across domains. For example, the system can flag situations where unauthorized physical access to facilities occurs simultaneously with unusual network access attempts, potentially indicating coordinated attacks. At Technology Manufacturing Inc., implementation of converged security AI identified three incidents where physical tailgating into secure areas correlated with subsequent attempts to access restricted systems—a pattern that separate systems would likely have missed. Beyond threat detection, operational benefits include unified security operations centers, streamlined incident response spanning both domains, and consistent security governance. Organizations implementing these converged approaches typically begin with integration at the alert management and response level before progressing to deeper technical integration between systems. Success requires collaboration between traditionally separate physical and IT security teams, often necessitating organizational changes and joint training programs. As attack methodologies continue growing more sophisticated, this convergence represents not merely a technical improvement but an essential evolution in organizational security posture to address blended threats that cross traditional domain boundaries.