Video And Audio Streams
IP cameras, on-camera analytics, audio sensors, and gunshot-detection feeds. Live signal flows into the pipeline in real time without intermediary buffering or vendor-specific middleware.
Four stages run on every Defentect deployment. The sensor inventory on the left feeds the live signal in. The verified incident routes to the operator on the right.
Defentect reads from the sensors and devices already deployed at the operator’s site. Sensor-agnostic posture across 450+ protocols. No rip-and-replace, no vendor lock.
IP cameras, on-camera analytics, audio sensors, and gunshot-detection feeds. Live signal flows into the pipeline in real time without intermediary buffering or vendor-specific middleware.
Card readers, biometric devices, visitor-management feeds, and identity-management events. Defentect ingests access events alongside everything else for cross-domain correlation.
Temperature, humidity, air quality, gas detection, fire detection, motion, occupancy, biomedical equipment status, OT and SCADA process signals. Read alongside security signals on a single operator surface.
Chemical, biological, radiological, nuclear, and explosives sensors. Heritage in federal facilities since 2000. Vendor-agnostic across major CBRNE inventories.
AI runs continuously across the live feed, watching every sensor in parallel against the operating baseline, producing one assessment of what is happening across the environment as a whole rather than per-sensor analytics in silos.
Perimeter intrusion plus a process exceedance is a different signal than either alone. Defentect’s AI correlates security and operational signals against each other, surfacing anomalies the per-sensor consoles miss.
AI inference can run at the edge for sites with constrained bandwidth back to a central operations center, or centrally where bandwidth is plentiful. The verification step does not change.
Every AI conclusion that exits the Interpret step is tagged with the signals that produced it. Operators see why something is being flagged before they see what is being flagged.
Before any verified conclusion routes to an operator, it is checked against governed reference material the institution controls. False alarms drop out before dispatch. Aligned with NIST AI accountability guidance for federal deployments.
The institution defines what is verifiable: standard operating procedures, threat profiles, normal operating envelopes, regulatory thresholds. Defentect verifies against the institution’s reference, not an opaque generalized model.
Every routed incident carries the verification audit trail: source signals, AI conclusion, reference material consulted, verification outcome, dispatch path, operator acknowledgment. Compliance-ready by design.
The dominant operator failure mode in incident response is alert fatigue from false positives. Verify is the step that protects the operator’s most expensive resource: attention. Verified incidents are the ones that make it to dispatch.
Verified incidents route by site, role, severity, and time of day, with audit trail attached and the context the operator needs to act. SMS, email, voice, mobile, desktop, pager, radio, and digital signage all supported.
Defentect routes verified incidents to the operator authorized and able to act. Rules are configurable by the institution: which roles get which severities at which sites at which times. Off-classification operators see nothing they should not.
SMS, email, voice, mobile push, desktop alert, pager, two-way radio integration through Motorola Solutions, and digital-signage broadcast for facility-wide events. The operator gets the message on the channel they actually monitor.
The verified incident notification carries the source signals, the AI conclusion, the verification trail, and recommended action. The operator does not start from zero, then page through consoles to figure out what is happening.
Defentect runs as an overlay on top of the sensor, identity, and communications infrastructure already deployed at the operator’s site. Sensor-agnostic by design, integrate-don’t-replace by posture.
The operator keeps existing sensors, identity systems, communications channels, and command-center surfaces. Defentect is the integration layer above them. No procurement cycle to replace working infrastructure, no operator retraining on a new console, no parallel system to maintain.
Federal sites run fully on-prem with no external network dependency. Distributed-asset operators run with edge AI where bandwidth back to a central operations center is constrained or non-existent. Cloud deployment is available as an option for institutions whose policy permits it, never as a requirement.
The same pipeline runs at single-site pilot scale and across multi-site enterprise deployment. Sensor inventory grows, AI assessment scales, verification rules are layered in by department or building. The operator workflow does not change as the deployment expands.
Walk through the architecture, the integration paths, and the operating environments where the platform is deployed.