Predictive Security: Can AI-Driven Video Analytics Stop Threats Before They Happen?

This Ganz-sponsored securityinfowatch.com webinar will explore the pivotal transformation the security industry is undergoing, as artificial intelligence accelerates the shift from reactive monitoring to proactive threat prevention, has created a new dynamic risk. Traditional video surveillance, which has long relied on human operators, struggles with information overload, delayed responses, and inconsistent situational awareness. AI-driven video analytics is emerging as a powerful solution, capable of processing vast amounts of visual data in real time, identifying anomalies, and alerting teams before an incident escalates.

Advances in machine learning, behavior analysis, and multi-sensor fusion now enable systems to detect precursors to threats—such as loitering, perimeter probing, abandoned objects, or unusual movement patterns—rather than only responding to events after they occur. This evolution promises substantial operational benefits, from reducing false alarms to enabling faster decision-making and improving allocation of security personnel.

Topics for Discussion:

• How predictive video analytics models identify pre-incident behavior
• The balance between automation and human decision-making
• Managing risk: false positives, bias, and system transparency
• Deployment challenges and best practices for real-world environments

Registration link to follow.