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ARTICLE · 15 SEPTEMBER 2026

AI And Trade Secret Protection: The Institutional Knowledge Gap

Explore how AI coding assistants face new security vulnerabilities, trade secret protection challenges in AI-driven businesses, and the evolving landscape of algorithmic pricing in retail. Discover insights on digital asset regulation, sports integrity cases, and the impact of AI on M&A due diligence.

United StatesTechnology

Trade secret protection requires you to point at a thing and name it. The most valuable assets in an AI-driven business are not things. They are processes, and the law has no vocabulary for them yet.

Every trade secret claim begins with the same demand, and it is the one most companies cannot satisfy. Identify the secret. Not the category. Not the system. The specific information, described with enough particularity that a court can tell whether it was taken.

For a customer list, this is trivial. For a chemical formula, a source code module, a pricing model, it is manageable. For the thing that actually makes an AI-driven business valuable, it is close to impossible, and the impossibility is structural rather than a failure of drafting.

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