Multi-Agent System
Several AI agents working together on a task - a planner delegating to workers, or agents calling other agents - multiplying both capability and attack surface.
A multi-agent system decomposes work across several cooperating agents: a planner that assigns subtasks, specialized workers, agents that invoke other agents, or swarms that coordinate to finish a job. It can outperform a single agent on complex work, and it is a fast-moving area of agent design.
Each hand-off is also a place for authority to leak - a narrowly scoped agent invoking a broadly scoped one, or a sub-agent inheriting permissions no one meant to grant. Governance holds only if it lives at the boundary rather than inside any one agent: every actor, planner or worker, is adjudicated on its own identity and policy, and the full chain of who-asked-whom is recorded.
Govern AI like infrastructure.
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