An intermediary service that relays communication or requests between AI agents. It can expand the effective trust boundary by adding another place where authorisation, logging and accountability must be enforced and reviewed.
What an A2A proxy does
An A2A proxy sits between agents and relays messages or requests on their behalf. That extra hop can simplify routing and policy enforcement, but it also introduces a new trust boundary that must be treated as part of the system, not as a neutral transport layer.
Because the proxy becomes part of the communication path, it can influence who is allowed to speak, what metadata is visible, how requests are transformed, and where logs are written. If those controls are inconsistent, the proxy can become the weakest point in an otherwise well-designed agent interaction pattern.
Why the trust boundary expands
In direct agent-to-agent communication, the two parties exchange messages with fewer intermediaries. A proxy changes that model by inserting another entity that can inspect, forward, delay, reject, or rewrite traffic. That means authorisation decisions may need to be enforced twice, once at the agent edge and again at the relay.
This is especially important when agents operate across teams, tenants, or organisations. A proxy can be used to normalise protocols, broker policy, or isolate internal agents from external ones, but it also creates a new place where identity assertions, delegation claims, and message integrity must remain intact.
Logging, accountability, and control points
A well-designed A2A proxy can improve auditability because it centralises records of requests, responses, and policy outcomes. That makes it easier to reconstruct who asked for what, which route was taken, and where a request was denied or altered.
It can also improve control consistency when multiple agents use different runtimes or toolchains. A single relay layer can enforce common checks for authentication, routing, rate limiting, and message allow-listing, provided those checks are configured to reflect the real trust relationships in the environment.
However, centralisation only helps when the proxy is itself trustworthy and observable. If the relay is opaque, overly permissive, or difficult to monitor, it may hide failures rather than clarify them.
Common failure modes and design trade-offs
The main trade-off is convenience versus added exposure. A proxy can reduce complexity for agent developers, but it also concentrates risk in one component that may see sensitive prompts, tool intents, or delegation chains. That makes hardening, monitoring, and change control more important than in a direct exchange.
Another common failure mode is assuming the proxy is only a transport concern. In practice, it may need to participate in request validation, provenance tracking, and policy enforcement. The more the proxy changes the content or context of agent communication, the more carefully its behaviour must be specified and tested.
Risk and Threat Considerations
An A2A proxy can become a high-value target because it sits on the path between agents and may handle both authentication context and sensitive message content. If it is overtrusted, misconfigured, or difficult to inspect, compromise of the relay can expose multiple agent relationships at once.
Failure mechanism: Attackers can abuse the proxy by injecting, replaying, redirecting, or altering agent messages, or by exploiting weak authorisation around delegated requests and cross-agent trust.
Impact: The result can include unauthorised actions, broken accountability, leaked context, poisoned interactions, and lateral movement across an agent ecosystem.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 sets the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | AC-3 — Access Enforcement | A2A proxies enforce or relay access decisions for agent requests. |
| AU-2 — Event Logging | A2A proxies centralise audit events for relayed agent communication. | |
| IA-2 — Identification and Authentication (Organizational Users) | A2A proxies depend on reliable identity assertion before relaying requests. | |
| Recommendation — Enforce request authorisation at the proxy boundary before forwarding agent actions. Log relayed agent requests, decisions, and routing outcomes with sufficient detail. Verify the identity context attached to each agent request before it is relayed. | ||
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | A2A proxies can amplify delegated access and privilege misuse across agents. |
| ASI07 — Insecure Inter-Agent Communication | A2A proxies mediate inter-agent traffic and can weaken communication trust boundaries. | |
| Recommendation — Constrain delegated authority so relayed requests cannot exceed approved privilege. Protect inter-agent relay paths from tampering, replay, and trust confusion. | ||
Practitioner Guidance
Governance implication: Treat the proxy as a security control with explicit ownership, not as plumbing. Its logging, policy enforcement, and trust assumptions should be reviewed alongside the agents it connects, especially when the proxy mediates cross-domain or cross-organisation traffic.
What to watch for: Pay close attention to delegation depth, message rewriting, and inconsistent policy decisions across routes. NHIMG’s Multi-Agent and A2A Security Guide is the most direct starting point when you need to map those controls to multi-agent deployments.
For broader control alignment, use NIST SP 800-53 Rev 5 Security and Privacy Controls to anchor access control and audit requirements, and OWASP Agentic AI Top 10 to frame identity, privilege, and inter-agent communication risks.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on October 22, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org