u/Cautious-Alfalfa48

Manually writing policy for every agent and environment does not scale once you have more than a handful running. Has anyone seen or built agentic ai governance best practices around policies that generate themselves based on the environment an agent is operating in, rather than a static ruleset someone maintains by hand. Curious how well that holds up under audit, since auditors tend to want a clear explanation of where a rule came from.