Autonomous vehicle incidents trigger NHTSA investigations requiring proof of what the safety system decided. InferTrust™ creates cryptographic records that surv
When NHTSA investigates an autonomous vehicle incident, investigators need to reconstruct the AI decision chain: what did the perception system detect, what did the planning system decide, and what actions were executed? If the AV manufacturer can only provide application logs stored in mutable databases, investigators must take the manufacturer's word that those logs are complete and unmodified.
InferTrust™ Auto operates at the inference boundary of autonomous vehicle decision systems. For each critical decision event, it captures the perception model output, the planning model's decision (AUTONOMOUS_PROCEED, SAFE_DEGRADE, HUMAN_HANDOFF, or EMERGENCY_HALT), the policy and safety constraints active at that moment, sensor confidence scores, and the execution timestamp, all bound into a cryptographic hash chain with device-bound keys that prove the record was generated on the vehicle's compute platform at the time of the event.
In a post-incident investigation, InferTrust™ records allow the manufacturer to provide NHTSA with independently verifiable proof of every decision the AI made in the moments surrounding the event. Investigators can confirm that the records have not been modified since the event, that the correct model version and safety policy were active, and that the AI system responded according to its configured parameters. This level of evidence materially changes the dynamic of an investigation.
ISO 26262 functional safety requirements for automotive systems increasingly intersect with AI governance. InferTrust™'s verifiable decision records support the documentation requirements of ISO 26262 by providing evidence that AI components operated within their specified parameters at each decision point.