How should security teams evaluate multi-agent frameworks when they need controlled delegation between AI agents?

Security teams should evaluate whether the framework gives clear control boundaries, explicit handoffs, and enough traceability to understand which agent did what and why. Frameworks that rely on function calls for transitions can be easier to inspect, but they still need strong governance around tool access, task scope, and memory. The key question is whether collaboration remains predictable under real operational conditions.

What controlled delegation must prove in practice

Multi-agent frameworks are only as safe as the delegation model they enforce. For security teams, the evaluation should start with whether the framework can constrain who may delegate, what can be delegated, and how far authority can travel once a task is handed off. That means clear boundaries between agent roles, bounded tool access, and predictable task scope.

A framework that makes collaboration easy but leaves delegation implicit is usually a governance problem waiting to happen. In practice, the question is not whether agents can coordinate, but whether each transition creates an auditable change in authority that can be reviewed, tested, and revoked without breaking the whole system.

Inspect whether task routing is explicit, policy-driven, and limited to approved peer relationships.
Check that each agent sees only the tools, data, and memory needed for its own step.
Confirm that escalation paths are intentional, not an emergent side effect of shared context.

Control boundaries, handoffs, and traceability

Controlled delegation depends on three properties: the framework must define the control boundary, make the handoff legible, and preserve traceability after the handoff. If an agent can initiate work on behalf of another agent, security teams need to know whether that is a true delegation, a temporary impersonation, or just shared access to the same workflow state.

Frameworks built around function calls are often easier to inspect because each transition is discrete, but inspectability is not the same as safety. The more important test is whether the framework records the decision context for each hop, including the instruction received, the tool invoked, and the data exposed during the exchange. Without that, post-incident reconstruction becomes guesswork.

Memory deserves special scrutiny because shared or persistent context can quietly expand authority beyond the intended delegation step. If an upstream agent writes durable state that a downstream agent later trusts, the delegation path may behave like an implicit policy engine even when the framework never intended it to.

Risk and Threat Considerations

Controlled delegation fails when an agent inherits more authority than the task requires, or when the handoff mechanism becomes a trust shortcut that attackers can abuse. In multi-agent systems, the main exposure is often not one compromised agent alone, but the way a compromised agent can use delegated context, shared memory, or broad tool permissions to influence later actions.

Failure mechanism: Weak separation between agents allows prompt injection, tool misuse, or overbroad delegation to turn one agent’s limited task into another agent’s unauthorized action path. Shared state and insufficient auditability make it hard to see where authority expanded or where a malicious instruction entered the chain.

Impact: A bad handoff can produce unauthorized data access, unsafe external actions, credential exposure, or silent workflow corruption across multiple agents. The operational problem is not just compromise, but loss of confidence in which agent can be trusted to act, and under what conditions.

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 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0 set the governance and control requirements practitioners need to meet.

Framework	Control / Reference	Relevance
OWASP Agentic AI Top 10	A1 — Agent Goal Hijacking and Delegation Boundaries	Controlled delegation hinges on bounded agent authority and explicit handoffs.
	A3 — Tool Misuse and Action Authorization	Delegated agents need least-privilege tool access to prevent unsafe actions.
	A7 — Memory and State Integrity	Shared memory can silently widen delegated authority across agent hops.
Recommendation — Define and enforce explicit delegation boundaries for every agent transition. Restrict tool access to the minimum actions each agent needs. Protect shared state so prior agents cannot smuggle authority into later steps.
CSA MAESTRO	M3 — Multi-Agent Orchestration and Coordination	Multi-agent delegation is fundamentally an orchestration and control problem.
	M5 — Identity, Access and Privilege	Delegation quality depends on constrained access and privilege separation.
Recommendation — Map orchestration flows to approved coordination paths and block ad hoc agent chaining. Scope each agent to least privilege and review delegated permissions regularly.
NIST CSF 2.0	PR.AC — Access Control	Delegated agent actions require enforced access boundaries and authorization.
	DE.AE — Anomalies and Events	Traceability and unusual cross-agent actions must be detectable for oversight.
Recommendation — Apply access control so delegated actions stay within approved authority. Detect unexpected agent handoffs and alert on abnormal delegation patterns.

Practitioner Guidance

What to verify: Validate that delegation is policy-enforced at the framework boundary, not only in application code. Require per-agent tool scoping, explicit approval for sensitive transitions, and logs that show the originating agent, receiving agent, and exact action permitted.

What to measure: Track whether every delegated action can be reconstructed from logs without relying on free-form memory. If you cannot answer “who delegated what to whom, with which permissions, and for which output” after a test run, the framework is not yet operationally trustworthy.

Common mistake: Treating internal agent-to-agent communication as benign because it is automated. Delegation is still privilege transfer, and the control standard should be closer to governed access than to ordinary message passing.

Practitioner takeaway: Choose the framework that makes authority smallest, handoffs explicit, and audit trails complete, because controlled delegation is a security property, not just an orchestration feature.