By NHI Mgmt Group Editorial TeamBased on KonaSense: “When Your Agent Delegates, What Do You Actually See?” (September 27, 2026)

TL;DR: Modern agents often delegate work to sub-workers that use their own tools and context, but the returned summary hides who acted, what was touched, and which actions were approved or blocked, according to KonaSense. That makes the execution record, not the summary, the artefact security teams need.


At a glance

What this is: This is a KonaSense analysis of delegated agent work, arguing that summaries are not sufficient evidence because they conceal sub-worker actions, tool use, and decision points.

Why it matters: It matters because security and engineering teams cannot govern delegated agent activity if they only retain the parent agent’s final answer instead of the underlying execution trail.


Context

Delegated agent workflows create a visibility gap because the system that answers is not always the system that acted. When a parent agent spins up sub-workers, each worker can use its own context, tools, and decision path, while the final output collapses that activity into a short summary.

The governance problem is not that agents are unreadable, but that their most convenient output is structurally incomplete. For identity and access teams, the relevant question is whether the organisation can reconstruct each delegated action, not whether the agent produced a coherent final response.


Key questions

Q: What breaks when AI agent summaries are treated as the audit record?

A: The audit trail breaks because the summary removes the identity, tool use, and decision context of each delegated action. Security teams lose the ability to prove who did what, what systems were touched, and whether a blocked action slipped through in a subordinate layer. The final answer may be accurate, but it is not sufficient evidence.

Q: Why does AI agent orchestration increase governance risk in delegated workflows?

A: It increases risk because authority moves across multiple agents, connectors, and handoffs, each of which can widen the effective permission set. The more steps that inherit context or tool access, the harder it becomes to prove where authority began, changed, or should have ended.

Q: How should security teams record multi-agent activity for investigations?

A: They should record each delegated action as a separate event with the worker identity, tool invoked, decision taken, and outcome. A single collapsed summary is not enough for forensics or governance. The goal is a replayable execution chain that shows how the result was produced, not just what the parent agent reported.

Q: What should teams change when approvals happen above the subworker layer?

A: They should move review and authorisation to the layer where the action occurs, because a parent-level approval does not necessarily govern subordinate execution. If a sub-worker can query data, modify files, or call external services before the parent responds, the control arrived too late to matter.


Technical breakdown

Why subagents break the audit trail

A subagent is a delegated execution unit, not just another prompt. The parent agent assigns it a goal, it runs with its own context and tool permissions, and then returns a compressed result. That compression removes the causal chain security teams need for investigation: identity, tool selection, action order, and approval state. Once the parent folds multiple worker outputs into one answer, the original execution path becomes ambiguous. For governance, the important distinction is between the operational result and the evidentiary record. A successful output does not prove that every delegated action was authorised, visible, or acceptable. See the Multi-Agent and A2A Security Guide.

Practical implication: Treat every subagent as an independently governed execution step, not as an implementation detail hidden behind a final summary.

What telemetry must be preserved from delegated runs

A usable record needs more than logs of the final task result. It must preserve each sub-worker, the identity it used, the tools it invoked, the data it accessed, and the decision attached to each action. That turns delegated work into an observable sequence instead of a narrative reconstruction. Without that level of telemetry, teams cannot determine which action came from which worker, whether an approval gate fired, or where an unsafe call slipped through. This is especially important when delegation is multi-layered, because each layer can obscure the one beneath it. The operational standard is provenance, not summarisation.

Practical implication: Capture per-worker action logs with identity and decision context so investigators can replay delegated work end to end.

Why approval controls fail when they sit above the subworker layer

Approval controls are often placed at the parent-agent level, but the risky action may happen one layer down. If a sub-worker can query data, modify files, or call external services before the parent composes its response, the review point arrives too late. The control failure is architectural: governance is anchored to the visible conversation, while execution happens inside delegated branches. That mismatch means a clean final summary can coexist with an unreviewed or rejected intermediate action. Security teams should think in terms of execution boundaries, not conversation boundaries, when designing agent controls. See the AI Agent Authorisation Guide.

Practical implication: Place policy and approval checks at the point where the sub-worker acts, not only where the parent agent reports back.


NHI Mgmt Group analysis

Delegated agent work creates a visibility failure, not just an observability gap. The parent agent’s summary is a lossy compression of several execution paths, each with its own tools, context, and decisions. That means the control problem is not whether the system can report a result, but whether the organisation can reconstruct delegated behaviour with enough fidelity for audit and investigation. Security teams should treat the summary as a user-facing convenience, not as evidence.

Agent summaries are not governance artefacts. When a sub-worker acts under delegated authority, the meaningful record is the execution trail, not the narrative output. This is a practical version of agent identity lifecycle thinking: the system that performs the action must leave a durable trace of identity, scope, and action state. Without that, accountability collapses into a single polished paragraph.

Multi-layer delegation changes the unit of control. A security model built around one agent issuing one answer misses the fact that modern agents branch into many subordinate actions. The governance question becomes which layer is allowed to touch which system, and whether each layer is independently attributable. That is the difference between controlled execution and invisible orchestration.

Consolidated output can conceal policy failure at the exact layer where it matters. A blocked action, an external API call, or a file deletion may never appear in the final answer even though it shaped the outcome. The result is a false sense of control because the visible response looks clean while the hidden execution path may not be. Practitioners need evidence of the chain, not confidence in the prose.

What this signals

Execution provenance is becoming the decisive governance requirement for agentic systems. The more an agent delegates, the less reliable any single summary becomes as evidence of what happened. Programmes that only track outcomes will miss the chain of decisions that determines accountability, so the next control boundary is the worker-level execution record.

As delegation depth increases, identity teams need to think in terms of traceable action layers rather than a single conversational session. That means the security question is no longer whether the agent answered correctly, but whether every delegated step can be reconstructed after the fact.


For practitioners

  • Define the execution record as the control objective Require that delegated agent runs preserve sub-worker identity, tool use, action order, and decision status as the primary audit artefact.
  • Instrument every delegated branch Capture each sub-worker call separately so investigators can distinguish parent decisions from downstream execution and approval outcomes.
  • Move policy checks to the point of action Apply approval and authorisation controls where the sub-worker actually executes, not only at the parent agent summary stage.
  • Preserve the full chain of work Store delegated traces in one place so a response can be replayed without relying on the parent agent’s final paragraph.

Key takeaways

  • Delegated agent workflows can hide the true execution path behind a polished final summary.
  • Security teams need worker-level identity, tool use, and decision logs if they want a defensible audit trail.
  • The control boundary has to move closer to the sub-worker action, not stay at the parent agent’s answer.

Related NHI Mgmt Group resources: Agentic AI Identity Guide · Multi-Agent and A2A Security Guide · AI Agent Authorisation Guide


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 AI RMF and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Agentic AI Top 10ASI03 — Identity & Privilege AbuseDelegated sub-workers create hidden identity and privilege boundaries inside agent runs.
ASI07 — Insecure Inter-Agent CommunicationSummaries replace the real exchange between parent and sub-workers with lossy communication.
Recommendation — Map delegated execution to ASI03 and log each worker’s identity, scope, and action separately. Treat inter-agent handoffs as security boundaries and preserve the full action trail at each hop.
NIST AI RMFGOVERN — AI Governance and AccountabilityThe article centres on accountability and traceability for AI execution chains.
Recommendation — Establish governance requirements for traceability, oversight, and accountable agent delegation.
NIST CSF 2.0PR.AA-05 — Access Permissions, Entitlements and AuthorizationsDelegated sub-workers need explicit, reviewable permissions for every action they take.
Recommendation — Apply PR.AA-05 to ensure delegated agent permissions are explicit, scoped, and reviewable.

Key terms

  • Delegated agent execution: A delegated agent execution is a run in which a parent agent assigns work to sub-workers that act with their own context, tools, and intermediate decisions. The security issue is that the visible final answer may omit the path that produced it, so governance depends on preserving the underlying execution trail.
  • Execution record: An execution record is the durable evidence of what a system actually did, including actor identity, tool calls, action order, and decision outcomes. In delegated agent workflows, it is more important than the final summary because it supports audit, forensics, and accountability across nested actions.
  • Subagent: A subagent is a secondary AI worker that performs a narrower task inside its own context and authority boundary. It helps keep the main model clean, reduces confusion from bulk data, and supports more auditable task separation.
  • Delegation Chain: A delegation chain is the sequence of identities, credentials, and tool calls an agent uses to complete a task across systems. It matters because each step may appear acceptable on its own while the combined path produces an outcome no reviewer would have approved directly.

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NHIMG Editorial Note
Published by the NHIMG editorial team on October 22, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org