Multi-Agent Delegation Security
Multi-agent delegation security concerns the risks introduced when AI agents communicate with and delegate tasks to other agents. Key risks include privilege escalation (Agent A delegates to Agent B which has more permissions), delegation loops, and confused deputy attacks where one agent tricks another into performing unauthorized actions.
Frequently Asked Questions
What are the security risks of multi-agent delegation?
Key risks: (1) Privilege escalation — Agent A delegates to Agent B with higher permissions. (2) Delegation loops — agents pass tasks in circles. (3) Confused deputy — one agent tricks another into unauthorized actions. (4) Trust boundary violations — untrusted agent output treated as trusted input.
How do you secure multi-agent communication?
Implement: (1) Permission inheritance — delegated agents get the delegator's permissions, not their own maximum. (2) Delegation depth limits. (3) Output validation between agents. (4) Audit trails for all inter-agent communication.
How does Inkog analyze multi-agent security?
Inkog builds a delegation graph from your multi-agent code, identifying cycles, privilege escalation paths, and missing trust boundaries. It works across frameworks including CrewAI, AutoGen, and LangGraph.
How Inkog Detects This
Inkog constructs a DelegationNode graph from multi-agent configurations. It detects delegation cycles, privilege escalation patterns where delegated agents have more permissions than delegators, and missing validation between agent boundaries.
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