Secure Passage Integrates EyePop.ai Real-Time Computer Vision into Truman

Integration combines customizable computer vision with identity-driven Physical AI to reduce operational overhead, reduce false alerts and coordinate real-world response.

Secure Passage, creator of Truman, the Identity-First Physical AI Operating System, announced the integration of EyePop.ai’s advanced, customizable computer vision into the Truman platform. The integration transforms raw camera video from an isolated source of alerts into real-time operational intelligence, enabling enterprise environments to move from simple visual detection to automated context and response.

While traditional computer vision can identify objects or movement, it lacks the context to determine whether an event requires action. A person entering a restricted door could be an authorized employee, an expected contractor or an intruder. By correlating EyePop.ai’s visual intelligence with Truman’s identity-driven intelligence — including credentials, access permissions, schedule data and location — Secure Passage bridges the gap between detection, understanding and response.

Beyond detection and investigation, Truman can initiate automated workflows and coordinate autonomous responses based on customer-defined policies, including dispatching connected robots or drones to verify an event, notifying personnel and escalating incidents. Responses can run automatically or require operator approval, depending on the mission and operating requirements.

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“We’ve spent decades adding more cameras and sensors to the physical world, but collecting data isn’t the same as understanding it,” said Gary Fish, Chairman and CEO of Secure Passage. “Integrating EyePop’s flexible computer vision into Truman connects visual perception directly to identity and operational context. This is Physical AI in action: connecting perception, identity and context to coordinated action by people and autonomous machines.”
— Gary Fish, Chairman and CEO, Secure Passage

“Computer vision is most powerful when it seamlessly feeds into broader operational workflows. Partnering with Secure Passage allows our custom AI models to directly power Truman’s identity-first intelligence, turning raw video detections into immediate, actionable outcomes for enterprise security teams. This is what we call true visual intelligence.”
— Brad Chisum, CEO, EyePop.ai

Customizable Intelligence Across Existing Infrastructure

Through EyePop.ai’s self-service model creation, organizations can rapidly deploy custom visual models for site-specific requirements, such as tailgating detection, perimeter monitoring, PPE compliance and equipment conditions.

When EyePop detects these events, Truman correlates the visual data across connected access controls, identity providers, digital twins and operational systems. The combined platform delivers:

• Identity-driven context. Automatically matches visual detections with employees, contractors, visitors or credentials.
  
  
• Contextual anomaly detection. Flags unexpected activity by cross-referencing visual data with schedules, location and surrounding events.
  
  
• AI-assisted investigation and response. Assembles supporting evidence and triggers automated workflows, notifications or coordinated human and autonomous responses.

“The real value of computer vision isn’t just detecting more events; it’s enabling teams to operate more efficiently with the infrastructure they already own,” said Andy Jones, Chief Technology Officer at Secure Passage. “By automating routine observation, correlation and initial investigation, we allow operators to stop watching screens and start managing outcomes.”
— Andy Jones, Chief Technology Officer, Secure Passage

The EyePop.ai integration is available immediately across Truman deployments and is fully supported by Secure Passage’s 24/7 Managed Operational Intelligence Services operating out of its Kansas City Global Security Operations Center (GSOC).