Data anonymization and de-identification are often looped together, but have different meanings under privacy regs like GDPR and HIPAA. You can use CamoText for either, but ensure you understand the differences! camotext.ai/blogposts/anon…

Do not rely on third parties' promises of privacy; sometimes it's not their choice. New legislation, regulatory guidance, and judicial orders can arise at any time. Use tools that you control, on your device, on your terms.

No better advertisement for privacy tooling than “if our LLM thinks you’re doing something bad it will call the authorities on you”

After some tool calls, Claude creates a PR, leaking everything. This includes: full names, travel plans, salary, list of private repos, etc.

Few realize that even with on-prem or private cloud-hosted AI, if a client terminates or requests a GDPR removal, true deletion is extremely complex if not practically impossible. All inputs should be de-identified whenever possible.

Saying privacy is already lost overlooks the progress being made in developing practical, privacy-preserving tools. This view risks discouraging participation in efforts that are still very much worth pursuing - now more than ever. Let's band together and usher in a new era of

Protect your PII before it leaves your device — sometimes data privacy policies aren’t even up to the hosts

Regulations change with politics. Encryption doesn’t. If your privacy depends on a law, it can be repealed. If it depends on math, it holds, no matter who’s in power. Choose tools that are private by design, not just by promise.

As LLMs employ more sophisticated methods of data collection and inference it’s imperative to be principled about privacy in a way that doesn’t defer to hosts’ privacy policies or current regulations (both of which are temporary and may not be strictly followed..)

End-to-end encryption secures data in transit, but once it lands, privacy depends on the device's integrity. This underscores the importance of maintaining strong privacy practices at the device level.

Many other privacy tools rely on cloud services, so user data is only as safe as the company’s current policies. Those can change Fully local, on-device tools avoid these problems. No data sent to external servers: no hidden logs, no future term changes, nothing for AI to crawl