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Architecture & Implementation

Execution Relay

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By NHI Mgmt Group Updated October 22, 2026 Domain: Architecture & Implementation

An execution relay is any intermediate service that carries out or forwards an action on behalf of an actor, such as a scanner, proxy, or browser carrier. In agentic environments, relays can obscure the effective requester and expand the identity boundary beyond the original system.

What an execution relay is doing

An execution relay sits between the original actor and the action that is actually carried out, so the effective requester may be a proxy, scanner, browser carrier, orchestration layer, or other intermediary rather than the visible user or system.

This matters because the relay changes the trust boundary: the destination service sees the relay’s execution context, not necessarily the upstream actor’s true intent, origin, or entitlement. That distinction becomes especially important when actions are chained, delegated, or partially automated.

Why execution relays appear in real systems

Execution relays are used to bridge network, policy, or workflow gaps. A browser carrier might fetch and render content on behalf of a workflow, a proxy might normalize access to a protected service, and a scanner might trigger requests that are operationally useful even though they are not the original business request.

In practice, relays are often introduced to make automation workable across boundaries, but they also blur attribution. If the relay is allowed to act too broadly, it can become the point where authorization, logging, and accountability no longer line up with the original requester.

How execution relays change identity and accountability

The main security consequence is that the identity observed by the target may differ from the identity that initiated the task. That can affect who is authenticated, which permissions are enforced, and which audit trail is considered authoritative.

When a relay forwards or performs actions, organisations need to decide whether the relay is merely a transport path or an acting principal. If that boundary is unclear, access reviews, incident analysis, and privilege decisions can all become ambiguous.

Where execution relays are most likely to cause problems

Problems usually appear when the relay inherits broad permissions, forwards requests without strong provenance, or hides the original requester from downstream controls. That can lead to overbroad access, poor attribution, and unexpected side effects if the relay is reused across multiple tools or workflows.

Well-governed environments treat relays as security-relevant components, not just plumbing. Their permissions, logging, and delegation rules should be understood alongside the systems they front, especially when they can initiate state-changing or privileged actions.

Risk and Threat Considerations

Execution relays create a material attribution and privilege risk because the system that performs the action may not be the same entity that requested it. Attackers and misconfigured automations can exploit that gap to mask origin, reuse trusted paths, or cause downstream systems to trust a relay more than they should.

Failure mechanism: The relay becomes the visible actor of record, so downstream controls evaluate the relay’s authority instead of the original requester’s intent, entitlement, or context.

Impact: This can enable unauthorized actions, obscure malicious activity, and complicate forensic review because logs, approvals, and enforcement decisions no longer reflect the true source of the request.

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 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST SP 800-53 Rev 5IA-2 — Identification and Authentication (Organizational Users)Execution relays can obscure which subject is actually authenticated.
IA-9 — Service Identification and AuthenticationRelays often act as intermediaries for services, workloads, or automated actors.
AU-6 — Audit Record Review, Analysis, and ReportingRelay-based actions need logs that preserve origin, delegation, and execution context.
Recommendation — Verify the authenticated principal behind each relay before allowing privileged actions. Authenticate relaying services separately from the upstream requester they represent. Correlate relay logs with upstream provenance so reviewers can reconstruct the real actor path.
NIST Zero Trust (SP 800-207)ZT-1 — Zero Trust ArchitectureRelays sit on a trust boundary where verification should continue, not stop.
Recommendation — Continuously verify relay identity and request context before trusting forwarded actions.
OWASP Agentic AI Top 10ASI03 — Identity & Privilege AbuseExecution relays can hide which actor is really using authority in agentic flows.
Recommendation — Bind each relay action to the originating actor and constrain delegated privilege.

Practitioner Guidance

Why practitioners should care: The important design question is whether the relay is allowed to execute, or only to carry. If it can do both, the relay should be governed as a distinct execution subject with explicit authority boundaries.

What to watch for: The strongest warning signs are broad relay permissions, shared relay accounts, weak request provenance, and audit logs that only show the intermediary. Those conditions make it difficult to tell whether the action was legitimately delegated or merely passed through a trusted intermediary.

Practitioner takeaway: Treat execution relays as part of the security boundary, not as transparent infrastructure, and preserve attribution from the original requester wherever the workflow allows it.

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NHIMG Editorial Note
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