Both, but the operational ownership sits in identity governance. The swarm behaves like a non-human identity population that needs authorization, lifecycle control, and containment. AI safety explains why the behaviour emerges, but IAM decides whether the behaviour can spread through access, communication, and delegation.
Why Swarm Ownership Belongs in Identity Governance First
Agent swarms become operationally dangerous when they are allowed to accumulate standing access, broad delegation, or weakly defined ownership. That is an identity and access problem before it is a model problem, because the practical question is who can act, under what authority, for how long, and with what revocation path. The answer is usually to treat the swarm as a governed population of identities, not as an undifferentiated software feature.
Once you frame the swarm that way, the control objectives become familiar: discover every active agent, assign an owner, scope permissions tightly, and make revocation possible at the same speed as issuance. NHIMG’s Identity Security Programme Guide is useful here because the same operating model issues that affect workforce and non-human identities also affect agent swarms, especially where governance is split across teams.
How AI Safety and IAM Split the Problem
AI safety explains emergent behaviour, such as goal drift, prompt exploitation, or agents coordinating in ways the designer did not intend. IAM explains whether that behaviour can cross the boundary from odd to harmful by reaching tools, data, services, or other agents. If a swarm is well controlled, unsafe intent is easier to contain; if it is overprivileged, even a modest failure can scale fast.
This is why the right mental model is layered. Safety work focuses on the agent's decision quality and instruction robustness. Identity work focuses on the permissions, delegation chain, and session boundaries that determine blast radius. For practical control design, the AI Agent Authorisation Guide is directly relevant because it translates that split into task-scoped access, per-action decisions, and approval gates.
What Practitioners Should Govern in a Swarm
A swarm should be governed as a population with lifecycle stages, not as a single integration. That means each agent needs discoverability, bounded authority, an offboarding path, and monitoring that can attribute action back to an instance or role. In practice, the key failure is not that an agent exists, but that no one can answer whether it still should, or what it can still reach.
NHIMG’s Shadow AI and AI Agent Discovery Guide supports the discovery side of that problem, while AI Agent Observability, Audit and Incident Response Guide supports the containment side. Together they reflect the core operational point: you cannot govern what you cannot inventory, and you cannot contain what you cannot attribute.
Risk and Threat Considerations
Agent swarms create concentrated exposure when delegated authority spreads faster than governance. The risk is not only malicious use, but also accidental amplification, where one compromised prompt, leaked secret, or overly broad tool grant lets behaviour propagate across many agents and systems.
Failure mechanism: An attacker, or a flawed control path, exploits standing access, reused tokens, or permissive delegation so that one agent can impersonate another, reuse trust, or fan out actions across shared tools.
Impact: The swarm can become a lateral-movement layer, turning a single compromise into data access, destructive actions, or uncontrolled automation across multiple services.
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 OWASP Non-Human Identity Top 10 address 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.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | Agent swarms fail when authority and delegation are too broad. |
| ASI02 — Tool Misuse | Swarms become dangerous when tools are reachable without tight task scoping. | |
| ASI10 — Rogue Agents | Unmanaged swarm members can continue acting outside intended control. | |
| Recommendation — Enforce per-agent authorization and least privilege before permitting tool use. Constrain each tool call to the exact task context and approved action. Detect and isolate agents that operate outside approved identity, scope, or oversight. | ||
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | Swarm agents act like non-human identities with excessive access risk. |
| NHI-01 — Improper Offboarding | Swarm members need explicit retirement and access removal. | |
| Recommendation — Reduce standing privileges and scope each agent to the minimum required access. Revoke agent access immediately when the agent is retired, replaced, or disabled. | ||
| NIST SP 800-53 Rev 5 | IA-9 — Service Identification and Authentication | Agent swarms authenticate as services or workloads to other systems. |
| AC-6 — Least Privilege | Swarm impact depends on how much access each agent can exercise. | |
| AU-6 — Audit Record Review, Analysis, and Reporting | Attribution and investigation are essential when multiple agents act concurrently. | |
| Recommendation — Authenticate agent-to-agent and agent-to-service interactions with strong service identity. Limit each agent to the minimum permissions needed for its approved tasks. Centralize agent logs and review them for anomalous delegation or fan-out behavior. | ||
| NIST Zero Trust (SP 800-207) | 3.4 — Policy Decision Point and Policy Enforcement Point | Agent actions need continuous authorization enforcement, not one-time trust. |
| Recommendation — Externalize agent authorization so each action can be evaluated before execution. | ||
Practitioner Guidance
What to prioritise: Start with ownership, inventory, and revocation. If you cannot name the agent owner, the issuance event, and the offboarding trigger, the swarm is already outside control.
Decision rule: If an agent can authenticate to a production service or delegate to another agent, treat it like a governed identity with least privilege and time-bound access, not like a generic application component.
What to verify: Confirm that every agent has a unique trust boundary, a bounded purpose, and an auditable path for approval, revocation, and action attribution. Shared credentials and invisible delegation are the patterns most likely to break containment.
Practitioner takeaway: The safest operating model is to let AI safety constrain what a swarm tries to do, while identity governance constrains what it can actually touch.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Free weekly newsletter
Subscribe to the NHI & AI Identity Journal
The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.
Bonus 33% off our NHI Course when you subscribe.
Reviewed and updated by the NHIMG editorial team on October 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org