Trade-secret loss is now a risk you can finally measure.
Tokto gives the manufacturer's risk and compliance officer one record that ties every prompt, every model output, and every supplier-shared AI use to a plant, a part, and a process, ready for the prime, the trade-secret court, the ITAR examiner, and the board risk committee.
A senior engineer leaves and a competitor announces the same product six months later. An ITAR audit asks how export-controlled data was governed. The board risk committee asks the CRO for the firm's AI-driven IP-loss exposure. The risk function has a vendor register and a heat map, but no record of what any engineer ever queried.
What you get with Tokto
- Every AI interaction scored and recorded against a plant, a line, a part, a process, an engineer, and a model version.
- A single evidence layer that the prime, the trade-secret court, the ITAR examiner, and the board risk committee read against the same record.
- Policy enforced at the prompt: CAD geometry, supplier codenames, and ITAR-controlled data blocked before tokens leave the boundary.
- AI risk that is measured by plant and program, controlled at the prompt, and attestable to the board and the customer.
How it works
Tokto turns AI-driven IP loss from an unmeasured fear into a managed control. Every engineering co-pilot, every quality model, every supplier-shared AI use becomes a scored record at the moment of output, tied to the plant, the part, the process, the engineer, and the policy in force. The risk function sees the moat the way the board assumes it can.
When a competitor hires the engineer, when the prime asks for AI evidence at audit, when an ITAR examiner opens an export-controls inquiry, the answer is one query against the system of record. The CRO reports AI IP-loss risk alongside supply-chain and product-liability risk.
What goes wrong without it
- AI IP-loss risk is never measured. The first signal is the competitor's catalog.
- An engineer pastes proprietary CAD into a public model. The exposure is found after it has left the boundary.
- A supplier-shared co-pilot retains design data past the contract. The register never flagged it.
- The customer asks how AI IP risk is controlled at audit. The CRO has a policy, not a record.
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 Manufacturing.
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