WEBINAR

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

AI is rapidly transforming security from reactive monitoring to proactive threat prevention, using real-time video analytics to detect risks before they escalate. But as predictive systems grow more powerful, organizations must navigate the challenges of accuracy, bias, and accountability to ensure these technologies enhance safety without compromising trust.

June 03, 2026

5:00 PM UTC

1 hour

Sponsored by

June 3, 2026

1:00 PM ET / 12:00 PM CT / 10:00 AM PT / 6:00 PM GMT

Duration: 1 hour

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A certificate of attendance will be offered.

Summary

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.

However, predictive security also raises complex questions about accuracy, transparency, and responsible implementation. Balancing innovation with ethical considerations and operational constraints remains a significant challenge for technology providers, integrators, and end-users. This panel examines how organizations can leverage AI to enhance safety while upholding trust, accountability, and practical effectiveness in the real world.

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

Speakers

Eric Polovich

Director of Sales Operations

Omnilert

Eric Polovich, Director of sales operations at Omnilert, has nearly two decades of experience in safety technology deployments and more than 25 years in SAS solutions. He has played a key role in implementing emergency communication platforms and is a subject matter expert on Omnilert’s Gun Detect.

Cooper Briscoe

VP Marketing

Brivo

Cooper is the VP of Marketing at Brivo. He has over 20 years of experience in the security industry. He’s a passionate leader and storyteller who loves collaboration and engagement with the channel.

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