Insights, updates, and expert perspectives on security solutions
Security monitoring centers must evolve to effectively leverage AI capabilities—transforming from passive surveillance operations to proactive security hubs. Traditional monitoring centers featuring walls of screens watched by security personnel are increasingly obsolete, as they rely on limited human attention that AI systems now supplement. Modern security operation centers (SOCs) should be designed around incident management rather than continuous monitoring, with AI handling routine surveillance and human operators focusing on verification, response coordination, and situation management. Physical layouts should prioritize collaboration during incidents rather than maximizing screen visibility, with configurable workspaces that expand during major events. Display systems should present prioritized information rather than raw camera feeds—showing potential threats, system status, and response resources rather than overwhelming operators with unfiltered video. At Regional Bank's redesigned monitoring center, this approach reduced response times by 64% while allowing the same team to monitor 3.5 times more locations. Integration of building management, access control, and communications systems alongside security AI creates comprehensive control centers capable of coordinating all aspects of incident response. Organizations should invest equally in the human elements of these centers—developing specialized training for AI-augmented monitoring that emphasizes judgment, decision-making, and coordination rather than vigilance and detection tasks that technology now handles more effectively.
While technology plays a crucial role in modern security, truly effective protection requires developing security-aware organizational cultures where all members contribute to collective safety. AI security systems, when properly implemented, can actually enhance rather than replace human security engagement. Unlike older monitoring approaches that encouraged passive reliance on security departments, modern systems can democratize security awareness by providing appropriate alerts and information to broader populations. At University Campus, implementation of a layered security approach combining AI monitoring with student and staff engagement increased security incident reporting by 156% while reducing response times by 64%. Organizations can leverage these systems to support security culture in several ways: sharing appropriate system-generated insights with department leaders to increase awareness of local security trends, integrating security messaging into regular communications based on AI-identified patterns, and developing response protocols that engage appropriate organizational members rather than relying exclusively on security personnel. Training programs should emphasize the complementary relationship between technology and human observation—technology excels at continuous monitoring and pattern recognition, while humans provide contextual understanding and judgment that AI systems still lack. The most successful security cultures develop appropriate reporting mechanisms for concerns identified by community members, creating two-way information flow between systems and people. Rather than creating dependency on automation, effectively implemented security AI becomes a force multiplier for organizational vigilance, supporting a comprehensive security culture where technology and human attention work together to create truly safe environments.