Why Prompt Scanning & Filtering Fails to Detect AI Risks [& What to do Instead]
Enterprises deploying AI agents and LLMs often look to prompt scanning as their first line of defense against privacy and security breaches. The idea is simple: analyze the text of the user’s prompt before it reaches the model, detect it for sensitive keywords or patterns, and block the sensitive words that may trigger a security or compliance issue. Enterprises thought this was a safe around, till they walked into unexpected issues.