AI for QA: keeping your product private
Working across different QA projects has taught me that a useful tool is not always the tool with the most access. AI can speed up test case writing, API test preparation and automation drafting, but it does not need to connect directly to the product, repository or private environment. I used AI with controlled inputs such as feature flow videos, HAR files, screenshots and repo structure examples. That gave me useful output while keeping the application, sensitive data and VPN-protected environment private.
