Multi-Agent Systems
AutoGen, CrewAI, LangGraph, custom orchestration frameworks
Systems where multiple AI agents coordinate, delegate tasks, and act on each other’s outputs — creating emergent behaviour that no single agent was designed to produce.
Everything each constituent agent can access — compounded across the entire agent network.
In multi-agent systems, one compromised or misconfigured agent can instruct other agents. The blast radius of a single failure compounds across the entire system before any human sees the output.
Network scanner detects inter-agent communication patterns. Runtime behaviour detection identifies orchestration frameworks.
CIM governs each agent in the system independently. A compromised agent cannot instruct another agent to exceed its own contract boundaries.
Find every multi-agent agent in your organisation.
Under 10 minutes. Five surfaces. No prior knowledge required.
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