Manufacturing
Intellectual Property Auditing in the Age of AI
The Challange
Client profile: A leading manufacturer of advanced machinery for heavy industry and automated production lines.
The situation: For well over a year, the company's engineers and designers had been using AI assistants to optimize machine operating parameters and write PLC control scripts.
The risk: The company had no way of knowing whether its unique design solutions and proprietary machine error codes — both protected as trade secrets — had become part of the knowledge base of public AI models.
The Exposure Discovery
ChatLeak in action: The service ran a scan for the exposure of unique project names, pending patent numbers, and specific strings of control code.
Audit findings: ChatLeak found that when prompted to "optimize the operating cycle of the [Machine Name] model," public AI models returned answers containing fragments of the company's proprietary algorithms and material specifications that had never been published online.
The conclusion: The data had been absorbed by AI models through earlier employee interactions – staff had pasted excerpts of documentation to get help with calculations.
The Mitigation
Digital footprint management: Based on the ChatLeak report, the company identified which departments (R&D, service) had unintentionally "fed" sensitive data to AI.
Legal and technical measures: The company moved to opt out of model training on its data and rolled out a procedure to sanitize prompts before they are sent to AI.
Ongoing monitoring: Automated alerts were set up in ChatLeak to notify the security team the moment any new, unique technical phrase starts appearing in AI-generated results.
The Results
Patent protection: Confirmation that the company's innovations had not become "public knowledge" before its patent processes were formally completed.
Contractor verification: Discovery that one of the subcontractors designing machine components was also exposing company data — allowing for a swift correction to the partnership.
Risk report for the board: Leadership gained clear visibility into how much of the company's know-how is currently "visible" to AI algorithms.
"In industry, competitive advantage is built over years of research. ChatLeak showed us that our manufacturing secrets had quietly started leaking into the global AI knowledge base. Thanks to the service, we were able to act before our competitors began designing machines based on our own optimizations."
R&D Director / Chief Engineer
The key argument for the industry
In manufacturing, the critical point is this — once an AI model has "learned" something, it can hand your solutions to your competitors. ChatLeak is the first to flag that this process has already begun.