Critical-infrastructure AI is regulated like a relay.
Tokto records every prompt your team runs across control room, field, scheduling, and back office, ready for the operations lead, the GC, NERC, TSA, and CISA.
Your team starts using a new AI tool in the control-room admin plane. The operations lead asks who validated it, the GC asks about NERC CIP, the auditor asks about CISA. No one has a single answer that matches.
- Every AI interaction tied to a facility, an asset, an operator, and a model version.
- A single record that the operations lead, the GC, and the auditor can read against the same evidence.
- Policy at the prompt: grid telemetry blocked, port manifests redacted, ICS commands stopped before tokens leave the boundary.
- AI used at the speed of operations with the record the company needs.
- A new tool gets used across two facilities before anyone notices. The GC finds out at audit.
- An operator pastes grid topology into a public model. It is now outside the company's control.
- A vendor assistant retains port manifests past the contract. The customer carrier reads the news.
- A facility's AI cost runs over by 10x in a quarter. Nobody can say where it went.
Tokto sits inside every AI conversation in the utility and the port. The control-room co-pilot, the field assistant, the scheduling model — all become records at the moment of use. The record carries the facility, the asset, the operator, the model, and the policy that applied. Practitioners get the speed; the company gets the trail.
When the operations lead asks who used what, when the GC asks about NERC CIP, when the auditor asks about CISA, the answer is one query. The team uses AI; the company stays out of the press release.