Thoughts on privacy, trust & practical AI adoption. Long-form posts and quick metrics from the Tresor team.
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.
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.
