Research Journal
Long-form research, product notes, and practical breakdowns on how confidential infrastructure changes what teams can safely do with AI.
Articles
5
Reading Time
38 min
Topics
21
Featured Note
That reassuring sentence covers only one narrow risk. Learn what it ignores, including retention, human access, profiling, breaches, subpoenas, and tool-connected data leaks, and what questions to ask instead.
Archive
Published notes from the Tresor team on confidential infrastructure, model risk, and the operational realities of adopting AI in regulated environments.
Many AI tools handling sensitive data rely on classic cloud security and contractual promises. Learn where this approach breaks down, how data can still leak, and why privacy-by-design architectures change the equation.
AI chat tools like ChatGPT and Claude can store and review your conversations. Learn how this works, the risks, and why privacy-first AI matters.
Exploring the risks of concentrating personal cognition in a few AI platforms and what a privacy-first alternative could look like.
Tracking how much sensitive or personal information users disclose to AI assistants across business and everyday contexts.
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