Biometric facial recognition is restricted or prohibited in many sectors and jurisdictions globally. Organisations need full surveillance capability that delivers security outcomes equivalent to facial recognition without the associated privacy law exposure.
Security regulations are mandating the removal of certain camera manufacturers from critical infrastructure. This creates an immediate requirement for AI native analytics platforms that can operate across replacement hardware at scale.
Organised retail crime has become a major operational challenge across global retail networks. AI video analytics detecting theft behavioural patterns in real time across hundreds of stores simultaneously is now operationally essential.
| Product | What It Does | Business Value Delivered |
|---|---|---|
AnonymousPersonIDCore Platform |
Attribute based person search across video archives using clothing colour, accessories, gait patterns and silhouette profile — delivering person re identification without storing or processing biometric facial data, eliminating privacy law exposure entirely. | Security teams locate persons of interest across hours of multi camera footage using visible physical attributes — fast, legally defensible and completely free of facial recognition liability. |
CrossCam PersonTrackMovement Analytics |
Multi camera person re identification and movement timeline reconstruction across enterprise campuses, critical infrastructure facilities and transit hubs — connecting individual sightings across camera networks into coherent movement narratives for investigation teams. | Reconstructs a subject complete movement timeline across a facility following an incident — essential for security investigations, access audits and post breach forensic analysis. |
SecureZone MonitorPerimeter Security |
Virtual perimeter enforcement with AI driven intrusion and breach detection for data centres, utility substations, restricted zones and high security facilities — with PTZ auto tracking integration and instant alert routing to security operations. | Provides automated perimeter monitoring that does not fatigue or miss events — catching unauthorised access attempts that human operators miss during extended monitoring periods. |
CrowdSentinel AIPublic Safety |
Mass gathering safety and unauthorised assembly detection for transport hubs, sports venues, universities and civic spaces — providing real time crowd density mapping, pedestrian flow analysis and crowd risk scoring for safety operations teams. | Enables venue and facility operators to manage crowd safety proactively — detecting dangerous density conditions and unauthorised gatherings before incidents escalate and require emergency response. |
RetailGuard AIRetail Loss Prevention |
Behaviour analytics for retail loss prevention detecting shoplifting, employee theft and organised retail crime behavioural patterns across multi store video networks — without facial recognition data storage, operating across hundreds of stores simultaneously. | Reduces retail theft through real time detection and staff alerting across entire retail networks — providing consistent, objective AI analysis regardless of store location or staffing levels. |
Trust Analytics of VideoInterview Intelligence |
Trust Factor Engine applied to recorded video interviews — analysing each statement segment for authenticity signals across facial, vocal and behavioural channels simultaneously, producing statement by statement trust scoring for review teams. | Supports HR, legal and investigative teams reviewing recorded interviews and depositions with objective AI powered authenticity assessment across every spoken statement segment. |
Every FaceOff Video Intelligence product operates without storing biometric facial data — enabling full surveillance capability in jurisdictions with biometric restrictions, with no privacy law exposure in any operating market.
FaceOff video analytics are AI native — not a software layer bolted onto legacy CCTV infrastructure. The platform operates across any IP camera feed and integrates with existing security operations and incident management systems.
AnonymousPersonID enables post incident person searches using visible physical characteristics — clothing, gait and accessories — achieving legally defensible re identification without any biometric facial processing in any jurisdiction.
| FaceOff AI — Video Intelligence | Dimension | Legacy and Single Modality Platforms |
|---|---|---|
Anonymous attribute based person detection and tracking without facial biometric data storageGait · clothing · accessories · silhouette · no face data |
Privacy | Facial recognition requiring biometric data storage creating regulatory liability across multiple jurisdictions |
AI native analytics operating across any IP camera feed without hardware replacementAny IP camera · RTSP stream · ONVIF · existing network infrastructure |
Integration | Proprietary analytics locked to specific camera hardware ecosystems requiring full infrastructure replacement |
Six integrated products covering perimeter, crowd, retail, tracking and interview intelligenceAnonymousPersonID · CrossCam · SecureZone · CrowdSentinel · RetailGuard · TrustAnalytics |
Coverage | Single purpose video analytics tools requiring separate procurement and integration for each security use case |
Organisations fully committed to an incumbent vendor workflow may prefer extending existing contracts before adopting a new platform.
Organisations without banking, government, healthcare, legal or media threat profiles may not yet face the vectors this platform is designed to counter.
For EDR and SIEM requirements without AI content authentication or identity proofing, a dedicated endpoint security vendor may suffice.