Autonomous AI Agent Communication

Autonomous AI agents may exchange operational information with other AI agents, sub-agents, or independent agent runs. Exchanged information may include discoveries, objectives, tasking, capabilities, credentials, constraints, operating rules, task state, targeting information, instructions, or results. Communication enables autonomous AI agents to coordinate activities, share discoveries, delegate work, request assistance, validate results, or revise future actions without requiring a human operator to direct each interaction.

Autonomous AI agents may independently determine when communication is operationally beneficial, what information to exchange, and how to best utilize exchanged information to accomplish their task. The receiving AI agent may interpret the shared information and use it to continue prior activity, investigate a lead, perform a task, reuse a capability, validate a result, or revise subsequent attack activity.

Communication may occur directly through an agent interface (See Direct Agent Communication) or indirectly via writeable shared resources (See Communication via Shared Artifacts).