Secure Passage Adds EyePop.ai Computer Vision to Its Truman Physical AI Platform

From detection to context and response

Secure Passage says traditional computer vision can identify objects or movement but lacks the context to decide whether an event requires action. Its example: a person entering a restricted door could be an authorized employee, an expected contractor or an intruder.

The integration aims to close that gap by correlating EyePop.ai's visual detections with Truman's identity-driven intelligence. That includes credentials, access permissions, schedule data and location. Beyond detection and investigation, Truman can start automated workflows and coordinate autonomous responses based on customer-defined policies, according to the company.

Those responses include dispatching connected robots or drones to verify an event, notifying personnel and escalating incidents. They can run automatically or require operator approval, depending on the mission and operating requirements.

Custom models for site-specific needs

EyePop.ai provides a self-service computer vision platform that lets organizations build and deploy customized visual intelligence without specialized machine-learning expertise. Through its self-service model creation, organizations can deploy custom visual models for site-specific requirements such as tailgating detection, perimeter monitoring, PPE compliance and equipment conditions.

When EyePop detects such events, Truman correlates the visual data across connected access controls, identity providers, digital twins and operational systems. Secure Passage lists three capabilities of the combined platform:

• 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.

What the companies say

Gary Fish, Chairman and CEO of Secure Passage, said: "We've spent decades adding more cameras and sensors to the physical world, but collecting data isn't the same as understanding it." He described the integration as "Physical AI in action: connecting perception, identity and context to coordinated action by people and autonomous machines."

Brad Chisum, CEO of EyePop.ai, said the partnership lets the company's custom AI models "directly power Truman's identity-first intelligence, turning raw video detections into immediate, actionable outcomes for enterprise security teams."

Andy Jones, Chief Technology Officer at Secure Passage, focused on efficiency with existing equipment. By automating routine observation, correlation and initial investigation, he said, operators can "stop watching screens and start managing outcomes."

Availability and what it means for customers

According to Secure Passage, the EyePop.ai integration is available immediately across Truman deployments. It is fully supported by the company's 24/7 Managed Operational Intelligence Services, run from its Kansas City Global Security Operations Center.

For enterprise security teams, the pitch is less manual monitoring of video feeds and fewer alerts that lack context. Secure Passage also stresses that the approach works with infrastructure organizations already own, and that operators can keep approval control over automated responses where their operations require it. The source offers no performance figures or pricing, so the real-world impact on false alerts and overhead remains a claim by the companies.