Trade secret cases are now won and lost in the AI log.
Tokto records every model decision, every engineer prompt, every supplier-shared co-pilot, and every customer AI interaction, ready for the trade-secret court, the prime customer, the ITAR examiner, and the AG.
A senior engineer leaves for a competitor. Six months later the firm's flagship product appears in a competitor catalog. The trade-secret action turns on what the engineer queried in the AI tool. The DMS has no log. The vendor's retention is 30 days.
What you get with Tokto
- Every model query and output tied to an engineer, a part, a process, a supplier, a model version, and a designation.
- A complete record for the trade-secret court, the prime customer, the ITAR examiner, and opposing counsel on the same evidence.
- Policy at the model: no CAD into uncontrolled tools, no supplier IP outside contract, no ITAR-controlled data into commercial AI.
- Defensibility under DTSA, ITAR, EAR, AS9100, and customer audit at once.
How it works
Tokto governs the AI surface of the company. Engineering co-pilots, supplier-shared models, quality assistants, customer-facing AI — all become records at the moment they fire. The record carries the engineer, the part, the process, the supplier, the model, and the policy that applied. The GC controls one trail, not five vendor dashboards.
When a competitor hires your engineer and your AI history walks out the door, when the prime asks for AI evidence at audit, when an ITAR auditor opens an export controls inquiry, the record is the same record. The GC answers in days, not motions.
What goes wrong without it
- An engineer leaves for a competitor. The trade-secret action collapses because no one can prove what was queried.
- A supplier-shared co-pilot leaks unreleased product detail. The customer GC reads the news.
- A foreign national contractor is granted model access through a vendor SaaS. State Department opens an ITAR review.
- A class action turns on whether an AI-assisted quality decision injured a worker. The audit trail does not exist.
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 Legal & Compliance in Manufacturing.
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