Trade secrets are now one prompt away from a competitor.
Tokto puts every prompt your engineers, supply chain operators, quality teams, and supplier-shared co-pilots run, every model output that touches a design, a process, a part, or a customer, under one auditable trail the auditor, the prime, and the trade-secret court can read.
An engineer pastes a CAD geometry and a supplier codename into a public LLM to clean up an FMEA. The CISO finds out three weeks later when a supplier sees the codename in a model marketing demo. The engineer is now at a competitor.
What you get with Tokto
- Every prompt and model output tied to a plant, a line, a part, a process, a supplier, an engineer, and a model version.
- A single audit log that satisfies the SOC 2 auditor, the prime customer, the trade-secret court, and the ITAR examiner on the same evidence.
- Policy applied at the prompt: CAD geometry, supplier codenames, process IP, and ITAR-controlled data blocked before tokens leave the boundary.
- On-prem deployment for the OT side. Raw data never leaves the plant.
How it works
Tokto sits at the AI control plane of the company. Every engineering co-pilot, every supply chain assistant, every quality model, every supplier-shared AI tool becomes a record at the moment of output. The record carries the plant, the line, the part, the process, the supplier, the engineer, and the policy in force.
When a prime customer asks for the AI history behind a part, when a trade-secret claim turns on which engineer queried what, when an ITAR audit asks how export-controlled data was governed, the answer is one query against the system of record. The CISO controls one trail, not five vendor dashboards.
What goes wrong without it
- An engineer pastes proprietary chip source code into ChatGPT. Samsung-class loss of three categories of trade secrets in 20 days.
- A supplier-shared co-pilot retains design data past the contract. CamoLeak-class loss of unreleased product specs.
- An OT/IT AI bridge produces a quality decision that injures a worker. The audit trail does not exist.
- Foreign-person access to a model trained on ITAR-controlled data. State Department exposure on top of CMMC.
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 Security & Technology in Manufacturing.
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