Transforming Video 
Surveillance with Agentic AI

The latest episode of the International Security Journal podcast features DeepAlert in an in-depth conversation about agentic AI and its implications for video surveillance — one of the most significant technology shifts the industry has seen.

Agentic AI moves beyond detection and alerting. Where traditional AI identifies events, agentic AI can reason about them, initiate responses, and operate autonomously within defined parameters.

For surveillance operations, this means systems that don’t just surface alerts — they act on them, coordinate responses, and learn from outcomes.

For DeepAlert, building trust with customers is central to making agentic AI work in practice. The technology is powerful, but deployment requires transparency: customers need to understand what the system is doing, why, and how they can maintain oversight. That trust is earned through reliability, explainability, and a track record of doing what was promised.

The podcast explores how DeepAlert is approaching this transition — and why the companies that invest in trust today will be the ones best positioned to lead the agentic AI era in security.

(Listen to the full episode on the International Security Journal podcast feed.)

All posts reference original articles published in external industry publications. DeepAlert acknowledges 
the work of SMART Security Solutions, Security Journal UK, International Security Journal, and Security 
Matters in covering our story.

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