AI is now a top risk on the register, in any business.
Tokto gives the risk and compliance officer one record that ties every prompt, every model output, and every vendor-shared AI use to a business unit, a use case, and a control, ready for the auditor, the regulator, the insurer, and the board risk committee.
The board risk committee asks where AI sits on the risk register. A regulator has questions about an AI-driven decision. The insurer wants AI-control evidence at renewal. The risk officer has a heat map and a vendor file — none of it ties a model output to a control and a use case.
What you get with Tokto
- Every AI interaction scored and recorded against a business unit, a use case, a model version, and a control.
- A single evidence layer that the auditor, the regulator, the insurer, and the board risk committee read against the same record.
- Policy enforced at the prompt: regulated data and customer identifiers blocked before tokens leave the boundary.
- AI risk that is measured, examinable, and attestable — not a red box on a heat map.
How it works
Tokto turns AI from an unmeasured exposure into a managed control. Every co-pilot, every workflow model, every vendor-shared AI use becomes a scored record at the moment of output, tied to the business unit, the use case, the model version, and the policy in force. The first line gets the speed; the second line gets the control; the third line gets the evidence.
When a regulator asks how an AI decision was governed, when the insurer asks how AI risk is controlled, when the board risk committee asks where AI sits on the register, the answer is one query against the system of record. The risk officer reports AI exposure the way every other top risk is reported — with a number, a control, and a trail.
What goes wrong without it
- AI never makes it onto the risk register. The first time it surfaces is an incident.
- A control test asks for AI evidence. The second line produces a policy memo, not a record. The finding stands.
- A vendor-shared model retains regulated data past the contract. The exposure is discovered after the fact.
- The insurer asks how AI risk is controlled at renewal. There is no attestable answer. The premium reprices.
In a 20-day stretch in early 2023, Samsung's semiconductor division leaked proprietary chip source code, equipment defect detection code, and internal meeting transcripts into ChatGPT in three separate incidents — data the company could no longer control once it left the boundary. Samsung immediately banned public LLMs and committed to building an internal AI system. The same paste-into-public-LLM pattern has since been observed across the manufacturing sector at scale.
See how Tokto makes enterprise AI visible, governed, and accountable for Regulatory / Risk in Every Industry.
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