Autonomy

From Testing to Deployment: Making AI Autonomy Safe at Scale

Simulation and test-track mileage are necessary but insufficient. Open-world deployment introduces distribution shift, adversarial inputs, and human-machine handovers that offline metrics under-weight.

Beyond validation: authorisation

Validation asks whether the model behaves within bounds in curated settings. Authorisation asks whether this specific action is allowed now, given policy, context, and safety envelopes. That requires a gate between planner outputs and controllers, not a post-hoc review.

Receipts and assurance

Signed decisions support incident reconstruction, certification evidence, and cross-team alignment between safety, security, and product teams. TrigGuard is designed as that gate, not as a replacement for your safety case, but as the control mechanism it depends on in production.

Internal links

Explore autonomous & industrial, execution governance, and Gate. Developers should review the API reference.

Next step

Request a robotics and autonomy safety review.

Request a demo