News & Events

Anomaly detection in video surveillance is the capability that closes the core limitation of surveillance: a system that learns what normal looks like in a given environment, then flags deviations before they escalate into incidents. AvidBeam‘s platform (AvidGuard) is built on this principle, and the operational difference it produces is measurable across every facility type

The dominant model among video surveillance companies is camera-centric: more cameras, higher resolution, longer storage retention. None of those factors produces a single automated detection without an analytics layer on top. The operational problems that the hardware-only model leaves unresolved: Cameras record continuously but generate no alerts unless a separate detection system triggers. Perimeter monitoring

Data center security operators and managers often make safety decisions based on assumptions that haven’t been tested in practice. They treat badge access logs as proof of access control, and camera coverage as effective surveillance. But in reality, none of these assumptions stand up to scrutiny, and the resulting vulnerabilities are often exposed during incidents.

AvidBeam is set to host a live webinar on Wednesday, April 29th, bringing together two senior voices from the AI and video analytics space for a session that covers where the field has been, where it stands today, and what GenAI is opening up across real-world applications. The session (titled “The Future of Video Analytics”)