How InferTrust™ creates cryptographic records for AI-assisted safety interlock decisions in manufacturing process control, supporting IEC 62443 and functional s
In manufacturing process control, safety interlocks are the last line of defense against hazardous conditions. When AI systems contribute to safety interlock decisions, including anomaly detection, process deviation identification, and emergency response, the integrity of those decisions must be provable. A safety interlock that fires or fails to fire based on AI input creates liability that requires verifiable evidence.
InferTrust™ Industrial integrates at the inference boundary of AI-assisted safety systems. When the AI processes sensor data and contributes to an interlock decision (SAFETY_INTERLOCK, PROCESS_ADJUST, APPROVE_RELEASE, or REJECT), InferTrust™ captures the complete decision context: model version, sensor input characteristics, anomaly scores, configured safety thresholds, and the resulting action. Device-bound keys ensure the record was generated on the authorized process control platform.
IEC 62443 industrial cybersecurity standards address the integrity of industrial automation and control systems. InferTrust™'s cryptographic decision records provide an additional integrity layer for AI components within these systems, supporting compliance with IEC 62443 requirements around system integrity, event logging, and accountability.
When a process safety incident occurs, investigators from OSHA, EPA, or industry-specific regulators examine the decision chain that led to the event. If AI contributed to safety-critical decisions, InferTrust™'s records provide independently verifiable evidence of what the AI detected, what action it recommended, and whether the safety system responded according to its configured parameters. This evidence can be decisive in determining whether the organization met its duty of care.