The Problem With Passive Surveillance
Most security cameras do one thing well: record. When an incident occurs, footage is reviewed after the fact — long after the damage is done. That model was built for a world where real-time analysis wasn't possible. That world no longer exists.
AI vision changes the equation. Instead of recording events for later review, modern systems analyze every frame as it happens, flagging anomalies in real time and triggering alerts before a situation escalates.
What AI Intrusion Detection Actually Detects
A well-trained vision model can identify a range of intrusion indicators that human monitors routinely miss:
Perimeter breaches — movement across defined boundary lines outside business hours, even in low-light conditions.
Loitering — a person or vehicle remaining stationary in a restricted zone beyond a configurable time threshold.
Tailgating — a second person entering a secured door immediately after an authorized entry, without their own credential scan.
Unusual access patterns — access attempts to areas that don't match a user's role or typical movement pattern.
From Detection to Response in Seconds
Detection is only half the story. Xorth routes alerts to the right people immediately — security personnel, site managers, or automated response systems — with a clipped video segment so responders can assess the situation before arriving on scene.
This compresses the gap between detection and response from hours to seconds. For high-value assets, that difference is everything.
No New Hardware Required
Xorth's AI layer sits on top of your existing CCTV infrastructure. There's no rip-and-replace, no new camera installations, and no lengthy procurement cycles. If your cameras can stream, Xorth can analyze them.
The result: enterprise-grade intrusion intelligence from cameras you already own.
