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02/08/2026 11:27 am
TL;DR: Manufacturing trade secret loss often happens through routine file movement, not headline breaches, as CAD files, process recipes, supplier contracts, and AI prompts spread across engineers, contractors, plants, and personal accounts, according to Cyberhaven. The control gap is not storage alone but lineage-aware enforcement that follows sensitive data as it leaves trusted systems and enters collaboration channels.
NHIMG editorial — based on content published by Cyberhaven: Preventing IP Theft and Trade Secret Loss in Manufacturing
By the numbers:
- 91% of former employee tokens remain active after offboarding, leaving organisations vulnerable to potential security breaches.
Questions worth separating out
Q: What breaks when trade secret controls rely only on content inspection?
A: Content-only controls miss the most sensitive manufacturing files when those files do not contain a recognisable pattern.
Q: Why do contractors and suppliers increase manufacturing IP risk?
A: They expand the number of places a protected file can be copied, stored, or forwarded.
Q: What do security teams get wrong about DLP for manufacturing IP?
A: They often assume DLP should detect secrets by pattern alone.
Practitioner guidance
- Map high-value files by origin and destination Inventory CAD repositories, process documents, supplier workspaces, and AI-connected storage.
- Add lineage-based controls to DLP Use data lineage to identify sensitive manufacturing files even when content patterns are weak or absent.
- Treat AI tools as governed data conduits Restrict which repositories AI assistants and agents can read, and separate summarisation from export permissions.
What's in the full article
Cyberhaven's full article covers the operational detail this post intentionally leaves for the source:
- How Data Lineage is applied to recognise proprietary files even when content patterns do not match
- How Cyberhaven DSPM maps sensitive data across email, drives, and contractor workspaces
- How Cyberhaven DLP distinguishes approved supplier sharing from personal-account exfiltration
- How AI Security extends lineage tracking into prompts and agent-driven file movement
👉 Read Cyberhaven's analysis of preventing manufacturing IP theft and trade secret loss →
Manufacturing IP theft and trade secret loss: what controls are missing?
Explore further
02/08/2026 12:43 pm
Trade secret protection in manufacturing is a data movement problem before it is a storage problem. The article is right to focus on how CAD files, process recipes, and supplier specifications travel through normal business workflows. In identity terms, the people and systems moving the data are known, but the file's journey is what determines the real exposure. That means governance has to extend beyond access reviews into movement-aware control and provenance tracking.
A question worth separating out:
Q: How should organisations govern AI-assisted work in engineering and operations?
A: Treat AI-assisted work as an identity and accountability problem, not just a productivity upgrade. Define which actions the AI may influence, which outputs require human verification, and which systems or data sources sit behind the workflow. Then align review, logging, and approval rules to the actual runtime path rather than the job title alone.
👉 Read our full editorial: Manufacturing trade secret loss shows why data lineage matters
