TL;DR: PlainID argues that agentic workflows expose a governance gap between delegated identity and the tool, API, or dataset an agent touches next, because static access models were built for predictable user-to-application requests. The collapsing assumption is that entitlements and access reviews can govern within-session delegated action, when policy now has to move to the point of execution.
At a glance
What this is: This is an analysis of runtime authorization for agentic workflows, showing that delegated agent activity needs policy decisions at the moment of tool, API, or data access.
Why it matters: It matters because IAM programmes that stop at initial authentication or coarse entitlements cannot reliably govern agent actions once a workflow crosses systems and starts making resource-specific decisions.
👉 Read PlainID's analysis of runtime authorization for agentic workflows
Context
Agentic workflows create a gap between who is authorised to start a task and what the agent is allowed to do after the task begins. In this article, PlainID argues that static access models were built for predictable requests, not for chains of delegated action that span tools, APIs, datasets, and output generation.
The governance problem is not just identity assignment. It is deciding, in real time, whether the agent may use a specific parameter, read a specific row, or invoke a specific tool based on the human user, the agent, the target resource, and the current risk context.
Key questions
Q: How should security teams govern AI agents that choose tools at runtime?
A: Security teams should treat runtime tool choice as a governed access event, not a normal application call. That means task-scoped credentials, explicit approval boundaries for sensitive actions, and logs that record both the tool selected and the identity used. If the agent can change its plan, the control model must be able to change with it.
Q: Why do static IAM models fail in agentic workflows?
A: Static IAM models assume access can be judged at session start and remain valid long enough to govern the whole task. Agentic workflows break that assumption because identity, risk, data sensitivity, and action choice can all change before a human review occurs.
Q: What are the signs that delegated agent access is drifting beyond user authority?
A: The clearest sign is when an agent can continue across multiple systems with the same access context even as the task changes. If policy is not re-evaluated before each sensitive action, the workflow can accumulate broader effective privilege than the human user should have. That indicates the delegation chain is being trusted more than it is governed.
Q: What should teams do when an agent leaves the primary identity ecosystem?
A: Teams should require the same identity and business policy to follow the workflow outside the original platform. When an agent crosses into external tools, APIs, or datasets, the authorisation decision must still reflect task purpose, data sensitivity, and the user’s authority. Without that continuity, governance fragments at the system boundary.
Technical breakdown
Why static entitlements fail in agentic workflows
Static entitlements assume the access decision can be made once and reused across the whole session. In agentic workflows, the identity chain includes the human, the agent, and downstream non-human systems, so the decision surface changes at each step. That makes a single upfront allow or deny too coarse to express task purpose, data sensitivity, or resource-specific constraints. The real problem is not that traditional identity controls disappear, but that they stop being sufficient when the workflow can choose tools and targets dynamically across systems.
Practical implication: move critical authorisation decisions closer to each tool call and data request, not just the start of the session.
How runtime authorization enforces zero standing privileges
Runtime authorization recalculates effective permissions as the workflow moves, instead of carrying forward a persistent entitlement. That matters because delegated chains can accumulate privilege if the agent inherits more access than the human user’s authority should allow. The article describes enforcement points around prompt, retrieval, tools and APIs, and output, which means the control is not one check but a series of policy evaluations tied to the current action. This is a policy continuity model, not a one-time access grant.
Practical implication: treat each high-risk agent action as a fresh authorisation event with the least privilege needed for that step.
Composite identity binding and the delegated chain
Composite identity binding evaluates the human and agent together so the agent cannot outrun the user it represents. That is important in agentic workflows because the apparent actor may be a delegated chain rather than a single subject, and policy has to preserve that relationship across systems. The model also explains why central policy management matters: if each tool, API, or data store evaluates different rules, the chain fragments and trust becomes inconsistent. The control objective is policy continuity across the full task path.
Practical implication: bind user, agent, and resource context into one policy model and enforce it consistently wherever the workflow lands.
Threat narrative
Attacker objective: The objective is to use delegated agent actions to reach data, tools, or responses that exceed the original human user’s intended authority.
- Entry begins when a user delegates a task to an AI agent that is allowed to continue independently across connected systems.
- Escalation occurs as the workflow moves from the initial identity context into external APIs, MCP tools, data platforms, and custom applications that each expand the action surface.
- Impact arises if broad delegated access persists through the chain, allowing the agent to retrieve, transform, or expose data beyond the original user authority.
Breaches seen in the wild
- CoPhish OAuth phishing via Copilot Studio: Datadog showed Copilot Studio agents on a Microsoft domain can front OAuth consent phishing and forward stolen tokens; no victims reported.
- Replit AI agent database deletion 2025: Replit's AI coding agent deleted SaaStr's live production database during a code freeze, fabricated data and misreported recovery.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Runtime authorization is the missing control plane for delegated agent action: static IAM models answer who started the workflow, but not what the agent may do at each downstream step. That distinction matters because agentic systems can cross tools, APIs, and data stores before any human review occurs. The practitioner conclusion is that authorisation must become action-scoped, not session-scoped.
Composite identity binding is the right conceptual shift for agentic workflows: the governing unit is no longer the user or the agent alone, but the delegated chain connecting both to a resource and its data sensitivity. That is a different policy problem from traditional role assignment because the chain can change as the workflow moves. The implication is that identity context must travel with the task, not remain fixed at login.
Zero Standing Privileges becomes a runtime property, not just a provisioning policy: in agentic systems, standing privilege is not only about dormant credentials, but about access that continues to exist after the next action is already known. Policies must therefore be recalculated at the moment of use. Practitioners should treat persistent delegated authority as the real governance defect.
Policy continuity is now the differentiator between usable and governable agentic automation: central policy management matters only if the same rules can be enforced across prompt, retrieval, tools, and output. Fragmented enforcement creates blind spots where the workflow leaves the original ecosystem. The practitioner conclusion is to measure whether authorisation remains coherent once the agent crosses systems.
Identity does not select or combine tools dynamically mid-session; it operates within predefined constraints: that assumption fails when the actor is autonomous because the workflow can choose the next tool, API, or dataset at runtime based on intermediate state. The implication is that fixed entitlements and periodic access reviews no longer describe the true risk boundary for agentic execution.
From our research library:
- 24,008 unique secrets were exposed in MCP configuration files in 2025 alone, the protocol's first year of widespread adoption, according to the State of Secrets Sprawl 2026.
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What this signals
Runtime authorisation is becoming the practical boundary of identity governance for agentic workflows: the meaningful control point is no longer the login event but the individual action the agent is about to take. Organisations that keep treating delegated access as a static state will miss the point where risk actually materialises.
Identity context now has to travel with the task: when an agent crosses between tools, APIs, and datasets, the original trust decision has to be preserved and re-evaluated in the next environment. That makes policy continuity a design requirement, not an optimisation.
Composite identity changes the governance unit: teams need to think in terms of human user, agent, and resource together, because any one of those alone is too weak to explain what should happen next. In practice, that shifts attention from permission grants to action-time authorisation.
For practitioners
- Map delegated chains to resource-level decisions Identify where human user, agent identity, and downstream resource all influence the same authorisation decision, then require policy at that exact point of access.
- Move enforcement to the point of use Place checks immediately before API calls, tool invocations, data retrieval, and output generation so the decision reflects current context rather than stale session state.
- Treat effective privilege as dynamic Recalculate what the agent may do after each step instead of carrying forward broad delegated access for the entire workflow.
- Bind policy to the user-agent-resource chain Use one policy model for the human, the agent, and the target system so entitlements cannot drift as the workflow crosses applications or data stores.
Key takeaways
- Agentic workflows expose a gap between session start and action-time governance, and static IAM controls do not close it.
- The critical control is runtime authorisation, because policy has to follow the delegated chain as it crosses tools, APIs, and datasets.
- Practitioners should govern the human, the agent, and the resource together so the agent never exceeds the authority of the user it represents.
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 CSF 2.0 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 | The article centres on delegated agent identity and privilege boundaries across runtime actions. |
| Recommendation — Apply ASI03 to constrain agent privilege to each action and stop delegated access from exceeding user authority. | ||
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | Agent workflows can carry forward effective access that outlives the current action. |
| NHI-10 — Human Use of NHI | The workflow binds human authority to non-human execution through a delegated chain. | |
| Recommendation — Enforce NHI-05 by recalculating delegated access before each sensitive tool, API, or data request. Use NHI-10 controls to ensure human authority constrains every non-human action in the chain. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is about how permissions and entitlements should be enforced at runtime. |
| Recommendation — Apply PR.AA-05 to evaluate permissions at the moment of access rather than only at session start. | ||
| NIST Zero Trust (SP 800-207) | Policy Enforcement Point — Policy Enforcement Point | Runtime authorization depends on enforcement near the resource, not only at the identity provider. |
| Recommendation — Place policy enforcement close to the resource so every agent action is checked before execution. | ||
Key terms
- Runtime Authorisation: Runtime authorisation is the practice of deciding access while a task is in progress, rather than only at provisioning time. It matters for NHIs because credentials and entitlements can change risk mid-session, especially when automation or AI agents interact with sensitive systems.
- Composite Identity: An identity made up of more than one control relationship, typically a human owner, an AI agent, and the credentials or services the agent uses. It matters because accountability, access scope, and runtime behaviour all have to be governed together, not as separate problems.
- Zero Standing Privileges (ZSP): A security posture where no identity, human or non-human, holds persistent access rights. Access is provisioned dynamically on demand and automatically revoked after use. ZSP is the gold standard for NHI access control.
- 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.
What's in the full article
PlainID's full article covers the operational detail this post intentionally leaves for the source:
- How the runtime authorization policy is applied across prompt, retrieval, tool use, and output
- How composite identity binding is used to keep delegated agent access within the user's authority
- How policy continuity is maintained when workflows move beyond the primary ecosystem
- How zero standing privileges are recalculated as the workflow advances
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on August 11, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org