BloodHound for AI Agents Means We've Officially Given Up Pretending This Is Simple

AgentHound brings the BloodHound model to AI agent infrastructure, mapping hidden attack paths in MCP and A2A systems.

The tool helps red teams spot risks such as credential harvesting, tool poisoning, model inversion, and over-permissioned access.

The article argues that connected agent stacks are now complex enough to need repeatable attack-path analysis, not just ad hoc testing.

Its value is showing trust-boundary and privilege weaknesses before mature defensive controls exist.