Privileged access in the AI era requires identity-first governance

At a glance

What this is: This article argues that PAM must move from password vaulting to identity-first governance because privileged access now spans humans, workloads, service accounts, and AI agents.

Why it matters: It matters because IAM, PAM, and IGA teams need to govern privilege at issuance and runtime across NHI and AI-driven identities, not just protect stored secrets.

By the numbers:

• 74% of organizations report identity-related breaches, and privileged access is a leading cause of lateral movement.

Context

Privileged access management is often treated as a credential problem, but the article describes a broader governance gap: privilege is now attached to identities that do not behave like human admins. Cloud workloads, service accounts, and AI agents can hold standing access and operate continuously, which makes vault-only control insufficient.

The identity security question is no longer whether a password is stored safely. It is whether the organisation can discover, authorise, constrain, and revoke privileged access across machine and AI identities that never log off, do not use MFA in the human sense, and can outpace manual review cycles.

Key questions

Q: What fails when PAM only protects stored credentials?

A: Vault-only PAM fails when the real risk sits in the identity’s standing permissions rather than the password itself. A secret can be protected and still back an account, workload, or agent that retains excessive access. The control gap is loss of lifecycle and runtime governance, not lack of storage hygiene.

Q: Why do service accounts and AI agents need different controls from human users?

A: Service accounts and AI agents authenticate and act without the predictable patterns that human identity systems expect. They can operate across runtimes, scale quickly, and carry permissions into automated workflows. That means access decisions should consider workload context, runtime behaviour, and time-bound authority rather than relying only on user-centric IAM patterns.

Q: How can organisations tell whether privilege orchestration is actually working?

A: Look for shorter access durations, fewer reusable privileged credentials, and complete evidence for when elevation started and ended. If teams still rely on permanent admin entitlements, the programme has not shifted from account-centric control to use-case-centric control. Auditability should show that privilege is temporary, not merely hidden.

Q: How should teams think about AI agent privileges?

A: Teams should treat AI agent privileges as task-scoped and time-bound, with the same discipline used for other high-risk non-human identities. The practical goal is to limit standing access, monitor tool use, and ensure revocation is fast when behaviour changes.

Technical breakdown

Standing privilege across NHI and AI identities

Standing privilege means access remains active beyond the moment it is needed. In this article’s model, that risk is not confined to human administrators. Cloud workloads, service accounts, and AI agents can carry persistent entitlements that are valid at runtime, which means privilege is embedded in the identity itself rather than only in a vault. That shifts the control problem from secret storage to entitlement governance, runtime authorisation, and lifecycle enforcement. If the access outlives the task, the account becomes a standing foothold rather than a temporary capability.

Practical implication: govern the identity and its entitlement window, not just the credential that unlocks it.

Why vault-first PAM breaks for continuous identities

Vaulting protects a secret, but it does not understand what the secret can do, who or what the identity belongs to, or whether the access should still exist. The article’s core critique is that legacy PAM was designed for human-led sessions, while modern privilege is often machine-paced and persistent. When identities run continuously, a vault does not create least privilege by itself. It only hides the login material. Without identity context and lifecycle controls, a vaulted secret can still represent excessive, durable access.

Practical implication: pair vaulting with identity governance so access decisions follow the identity lifecycle.

Runtime authorisation for AI agents and machine access

AI agents change PAM because they can act without the human timing assumptions that shaped traditional approval flows. The article says these agents may already have broad permissions, may be deployed before guardrails exist, and must be governed at runtime. That means access has to be authorised when the action is attempted, not only when the credential is issued. This is especially important where AI systems can create new agents or continue operating faster than access request workflows can respond. The control boundary moves from provisioning to execution.

Practical implication: require runtime authorisation for agentic and machine identities before action, not after issuance.

Threat narrative

Attacker objective: The attacker objective is to turn continuously active privileged identities into durable pathways for lateral movement and unauthorized action.

1. Entry occurs when a cloud workload, service account, or AI agent is granted broad access and begins operating with standing privilege.
2. Escalation happens because the identity retains access continuously and can act faster than human review or approval workflows.
3. Impact follows when that persistent privilege is used to reach additional systems, broaden lateral movement, or execute actions outside intended scope.

Breaches seen in the wild

• BeyondTrust breach 2024: A stolen BeyondTrust Remote Support API key let a China state-sponsored actor reset accounts and reach US Treasury workstations in 2024.
• Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity-first governance is now the correct PAM model for non-human privilege. The article’s central point is not that vaults are obsolete, but that vaults are incomplete when privilege is attached to workloads, service accounts, and AI agents. Those identities behave continuously, not episodically, so governance has to follow the identity across issuance, use, and revocation. Practitioners should treat privilege as an identity property, not a password location.

Standing privilege is the governance failure that AI makes harder to ignore. The article says many AI identities already have broad permissions and were deployed without guardrails, which means the issue is not just exposure but persistence. A standing permission on a non-human identity creates a wider attack surface than the same permission on an interactive human session because there is no natural stop point. The practitioner conclusion is that access scope and duration must be designed together.

Runtime authorisation becomes the decisive control when machine pace exceeds human review pace. Traditional PAM assumes an access request can be reviewed before meaningful harm occurs. That assumption weakens when AI agents can act, chain actions, or spawn additional agents faster than manual workflows can intervene. The field implication is that identity governance must shift closer to execution time, with runtime checks that cover both granted access and actual use.

Privileged access now belongs inside broader identity governance, not beside it. The article correctly argues that PAM and IGA need to work together because lifecycle visibility and policy context matter as much as credential control. This is especially true where privileged access is assigned to identities that are discovered late, change quickly, or disappear before recertification cycles catch them. Practitioners should align privileged identity governance with joiner-mover-leaver controls and continuous entitlement oversight.

Ephemeral access is only meaningful when the identity can be governed end to end. Just-in-time access helps, but it does not solve discoverability, attribution, or revocation if the organisation cannot map access back to the identity and the task. For NHI and AI use cases, the control question is whether access can be made task-scoped and automatically withdrawn when the task ends. Teams should measure privilege by lifespan and context, not by whether a password sits in a vault.

From our research library:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
• Read next: Privileged Access Management Guide

What this signals

Runtime privilege governance is the real PAM boundary now. Teams that still think of PAM as a vaulting problem will miss the actual risk in cloud workloads, service accounts, and AI agents that keep operating after the access request is over. The practical shift is to govern privilege at issuance, use, and revocation, not only at storage time.

Identity-first PAM closes the gap between access approval and access use. When the actor is non-human, the control question changes from “Was the password protected?” to “Was the identity authorised for this action at this moment?” That is the more durable model for machine-paced environments, and it aligns PAM more closely with identity governance.

For practitioners

• Discover non-human privileged identities Inventory cloud workloads, service accounts, and AI agents that already have standing access or broad permissions, then map each one to an owner, business purpose, and revocation path.
• Shift controls from vaulting to governance Keep secrets management in place, but add identity-level policy for who or what can use the secret, under which conditions, and for how long.
• Enforce runtime authorisation Require access decisions at the moment privilege is used, especially for agentic and service identities that can operate continuously without human prompts.
• Adopt zero standing privilege for machine identities Eliminate persistent access where the task can be time-bound, and revoke machine access as soon as the job or session ends.
• Integrate PAM with IGA workflows Connect privileged access approvals, reviews, and revocations to identity lifecycle records so recertification can cover both human and non-human accounts.

Key takeaways

• Privileged access now spans human administrators, workloads, service accounts, and AI agents, so vaulting alone no longer captures the governance problem.
• The article ties identity-related breaches to a broad privilege issue, reinforcing that standing access and runtime use matter as much as credential storage.
• The strongest control response is identity-first governance with runtime authorisation, lifecycle visibility, and zero standing privilege for machine identities.

Key terms

• Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.
• Identity-first governance: A governance model that treats non-human and autonomous systems as identities with ownership, scope, and accountability. It requires the same discipline used for human and machine identities, but adds tighter runtime control because the actor may change behaviour during execution.
• 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.
• Zero Standing Privilege: A control model in which an identity does not keep persistent access unless it is actively needed. For NHIs, this means credentials and permissions are issued for a narrow task and then removed. It reduces the time window and reuse value of stolen access.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security 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.