AI Agents are deleting DBs. Would you use a "Policy-as-Code" Gateway to stop them?

AI Agents are deleting DBs. Would you use a "Policy-as-Code" Gateway to stop them? Hey everyone, enterprise teams want autonomous AI agents, but security teams are panicking. Dev agents are literally deleting production databases in seconds due to a lack of external runtime guardrails. Current LLM safety tools focus on text filtering (toxic language), not execution safety at the API layer before an action hits your systems. To fix this, I am building a Runtime Policy Gateway that intercepts agent actions in real time: Text-to-Policy: Translates plain-text corporate guidelines (e.g., "No discounts >20% without manager approval") into strict, deterministic OPA/Rego-style logic trees—no LLM-voodoo involved. API Interception: Intercepts every external tool or API call, evaluates the payload against the logic tree in milliseconds, and blocks execution if it violates compliance. Decoupled Architecture: Security teams can update global corporate rules instantly without refactoring or redeploying the agent's core application code. A recent 2026 enterprise report showed that over 75% of active AI agents run completely without security oversight or logging. I want to know, are you interested? Would you actually use a tool like this?