Practical writing on AI security, data leakage, and safe AI adoption.
Whether ChatGPT, Claude, and Gemini train on what your team types depends on the plan and settings. Here is what actually happens to your data, and how to control it.
Auditors have started asking how you control employee AI usage. Here is what a SOC 2 examiner looks for, and how to turn AI into a control that produces evidence.
A plain-language comparison of how the major AI tools treat the data your team sends them, what to check before you trust one, and why the account tier matters more than the brand.
Secure AI adoption doesn't mean banning ChatGPT. Here's how to build guardrails instead of gates, so teams stay fast and the company stays protected.
PII in AI prompts is a growing risk. A category-by-category guide to what should never go into ChatGPT or Copilot, with safer alternatives.
A practical guide to writing an AI usage policy that people actually follow, with a sample allow/approve/block table by data category.
AI data leakage slips past traditional DLP because it happens in a chat box, not a file transfer. Here's why the prompt is the new exfiltration path.
Shadow AI is already inside your company. Learn what employees paste into ChatGPT and other tools, why it happens, and how to get visibility without banning AI.