Communication Protocols for Advanced AI Agents and Digital Systems

Determine and specify secure, interoperable communication mechanisms and protocols by which advanced AI agents will interact with one another and with non-AI digital systems, enabling governable, privacy-preserving, and safe coordination in multi-agent environments.

Background

Large-scale multi-agent ecosystems will require standardized ways for AI agents to interact with each other and with existing digital infrastructure. Without clear protocols, security, privacy, and reliability risks increase, and critical safeguards (e.g., commitments, verification, containment) are harder to implement.

Designing communication and training protocols is essential to support secure, accountable, and manageable interactions in safety-critical domains. While preliminary proposals exist, the fundamental question of how agents will communicate remains unresolved.

References

At the time of writing, it remains unclear how advanced AI agents will communicate with one another and with the vast network of other non-AI digital systems with which they will be integrated, though there have very recently begun to be some proposals in this direction.

— Multi-Agent Risks from Advanced AI  (2502.14143 - Hammond et al., 19 Feb 2025) in Section Multi-Agent Security, Directions: Secure Interaction Protocols

Several directions remain open for future investigation. A2A Simulation Framework. To our knowledge, no dedicated framework exists for simulating multi-agent A2A deployments at scale. A systematic simulation framework would enable reproducible security testing across the full protocol lifecycle, support automated fuzzing of A2A message flows, and allow researchers to evaluate mitigations under controlled conditions. Building such a framework is a natural and necessary next step for the community.

— A2ABreak: Systematic Security Analysis of the A2A Protocol  (2609.10871 - Lotfi et al., 9 Sep 2026) in Section 8, Conclusion and Future Work