Build AI agent policies once in Obsidian, and enforce them at runtime across every agent, platform, and gateway.
AI agent policies are missing or disjointed. Each rule gets rebuilt in every coding agent, agent platform, MCP connection, and gateway, and each copy behaves differently.
This brief shows how the Obsidian Runtime Policy Decision Engine fixes that. You write your policies once. At each enforcement point, the engine returns allow, require approval, or block, with a reason, using context like who the agent acts for and how you label your data. Every decision is logged.
Read it to see how the decision flow works and how a contractor’s agent is stopped from dropping a critical Snowflake table.