Security, Privacy & Deployment Architecture

In standard edge and on-premise deployments, no. All video decoding, neural network inference, and frame analysis occur locally within your physical facility on edge appliances or your internal server network. Only lightweight structured event metadata (JSON alerts, timestamps, and optional cropped alert snapshots) are routed, and only if configured.

Yes. The edge inference engine and local management console can be deployed on a completely air-gapped local area network (LAN) with no outbound internet access. In this configuration, model updates and system maintenance are performed via local administrative access.

We implement granular Role-Based Access Control (RBAC). System permissions are segmented into distinct operational tiers: Administrator, Security Supervisor, Station Operator, and Compliance Auditor. Access can be restricted at the individual camera feed, zone, or site level.

Data retention periods are fully configurable and set directly by the customer. The platform does not enforce perpetual video archiving. Automated purge policies can be configured to delete alert snapshots, event logs, and temporary caches after a customer-specified number of days.

No. Resurgenix explicitly does not build or position software for indiscriminate public crowd identification or unconsented mass surveillance. Facial verification capabilities are strictly confined to consent-based operational workflows, such as voluntary employee shift attendance and verified contractor access.

Website Assistant conversations are strictly session-only and ephemeral. We do not silently harvest or store transcripts as leads, nor do we feed conversations into external AI model training sets. Information is only retained if a visitor explicitly opts into follow-up contact by submitting a 'Request a Callback' or contact form.

Because video feeds are ingested locally over your facility LAN via standard RTSP/ONVIF streams, zero external internet bandwidth is consumed for video processing. Local network load is equivalent to standard camera-to-NVR streaming (typically 2 to 4 Mbps per 1080p H.264/H.265 stream).

The platform includes automated camera health diagnostics that monitor stream heartbeat, frame rates, signal loss, network packet drops, and optical occlusion (such as a blocked or repositioned camera lens). Operators receive proactive notifications if any camera feed becomes unavailable.

We do not claim certifications we do not hold. Resurgenix is in an early commercial stage and has not yet completed third-party audits for formal certifications like ISO 27001 or SOC 2. Instead, our software is architected with technical capabilities—including on-premise data residency, RBAC, data minimization, and audit logging—designed to assist customers in fulfilling their own internal governance and statutory compliance obligations.