Insights, updates, and expert perspectives on security solutions
The effectiveness of AI security systems ultimately depends on the human security personnel who respond to alerts and manage incidents. Without appropriate training, even the most advanced systems may fail to deliver their full potential. Security teams require new skills and approaches when working with AI-augmented systems—transitioning from primary detection responsibilities to verification, assessment, and response roles. Effective training programs address both technical and conceptual elements: technical training ensures personnel understand system capabilities, alert types, management interfaces, and appropriate response protocols, while conceptual training helps teams understand how their roles evolve when working alongside AI systems. At Western Properties, comprehensive training reduced response variability by 67% and improved appropriate response selection by 84%. Training should address common challenges including alert fatigue, over-reliance on technology, and maintaining situational awareness beyond system alerts. Simulation exercises prove particularly effective, allowing personnel to practice responses to various scenarios in safe environments before encountering them in actual operations. Organizations should develop clear performance metrics for human-AI teams rather than evaluating technology and personnel separately, recognizing that overall security effectiveness emerges from this collaboration. As these systems continue evolving, ongoing training becomes essential—quarterly refresher sessions ensure security teams remain current with system capabilities and maintain appropriate trust calibration, neither over-relying on automation nor unnecessarily duplicating system functions.