"Although overall crime rates in categories including gun assault, robbery, and homicide have decreased, instances of violent crime have increased, and cities with rising crime rates may struggle to adapt their operations to address the new threats plaguing their communities. Real-time crime centers - typically characterized as a centralized hub for security personnel to monitor disparate security technologies and alert systems - have become integral to many public safety efforts, coordinating real-time incident response across disaster recovery, common crime, and mass-casualty incidents."
"Real-time crime centers and similar security operations centers were built as a hub for police departments and select organizational security teams to unify their disparate technologies and alerts into a "single pane of glass." It's common for RTCCs to connect dozens of solutions, spanning: CCTV and video surveillance streams Gunshot detection systems Social media feeds License plate reading (LPR) technology Drone and body-worn"
"While police departments and some organizations have invested significant resources toward RTCCs, their playbooks are quickly becoming obsolete as new agentic AI capabilities radically transform what's possible with security. To help evolve your safety strategy, let's examine why traditional RTCCs are increasingly falling behind in the modern threat landscape, how agentic AI will significantly improve security strategy success, and what it takes to accomplish this reality."
City and organizational safety operations rely on real-time crime centers that centralize CCTV, gunshot detection, social media, LPR, drones, and body-worn data. Many security technologies remain siloed, forcing manual monitoring of disconnected dashboards and manual alert correlation. Rising violent incidents and evolving threats strain legacy RTCC playbooks and operational workflows. Agentic AI offers autonomous coordination, faster incident detection, and automated integration across disparate tools to improve response and strategy success. Implementing agentic AI requires rethinking architectures, integrating data pipelines, automations, and governance to modernize operations and enable scalable, real-time incident management.
Read at Securitymagazine
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