Enterprise AI's real risk isn't autonomous agents. It's the complexity between them.

Enterprise AI programs fail when agent fleets create opaque, multi-hop decision chains that no one can trace. Permissions drift as agents gain broader API access, and ownership erodes when workflows span several agents, leaving no clear human sponsor. Effective governance requires agent-level identity, real-time monitoring, and enforcement that blocks out-of-policy calls before they execute.