Articles

1. Redaction accuracy

   How the field defines accuracy, what regulators actually require, what current systems achieve, and where Total Redact sits among them.

2. How much personal data ends up in AI conversations

   Independent studies of real chat logs found that more than 70% of LLM queries contain personally identifiable information, including in places nobody expects, like translations and code edits.

3. What AI assistants do with your data after you press send

   Retention windows, training opt ins, safety reviewers, subprocessors, and what “delete my chat” actually means, with ChatGPT, Claude, and Gemini side by side.

4. Ways to share less personal data with AI assistants

   Six options that fit different situations: send less, substitute placeholders, pick a tool with stronger defaults, run a model locally, redact files, or keep work data on work tools.