Why privilege is becoming the control plane for identity security

At a glance

What this is: This is an opinion-driven analysis of how privilege has expanded from classic PAM into a dynamic risk surface across human, machine, and AI identities.

Why it matters: It matters because IAM and NHI teams now have to govern ephemeral, distributed, and automated access paths that old vault-and-rotate models do not fully cover.

By the numbers:

• Only 5.7% of organisations have full visibility into their service accounts.
• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
• 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.

👉 Read CyberArk's analysis of privilege as the new control plane for identity security

Context

Privileged access management was built for a world where administrators were known, systems were bounded, and access could be vaulted, rotated, and monitored in a fairly stable way. That assumption breaks down once privilege is distributed across developers, workloads, pipelines, SaaS consoles, and AI agents, because each creates new access relationships that behave more like living entitlements than fixed accounts. For IAM and NHI teams, the problem is no longer just credential protection. It is governance of changing authority across machine speed environments.

CyberArk's article argues that privilege has become the control plane for modern infrastructure, not just a feature of a few elevated accounts. That framing aligns with the broader NHI governance challenge: standing access, over-permissioned roles, and shortcut-driven operational habits create a much wider blast radius than traditional PAM programs were designed to absorb. The shift is not that old controls disappeared. The shift is that they now sit inside a larger trust model that also has to handle ephemeral access, automation, and AI-driven actions.

Key questions

Q: How should security teams reduce standing privilege in NHI environments?

A: Start by identifying every non-human identity with persistent access, then classify which entitlements are truly required at all times. Replace standing privileges with task-scoped access where possible, automate expiry, and require periodic review for exceptions. The goal is not to remove all access, but to make permanent access rare, explicit, and observable.

Q: Why do AI agents complicate privilege management?

A: AI agents complicate privilege management because they can execute actions autonomously, chain tools, and consume access without the normal human pauses that create review opportunities. That makes privilege decisions faster, less visible, and harder to reverse. Security teams need policy, logging, and revocation designed for machine speed, not just human approvals.

Q: What is the difference between JIT access and ZSP?

A: JIT access is the mechanism that grants permissions only when a task needs them. ZSP is the governing principle that no identity should carry default standing privilege. In practice, JIT is how you implement ZSP for elevated access, while ZSP defines the security posture that persistent access should not exist unless there is a specific exception.

Q: Should organisations keep classic PAM if they are moving to dynamic access controls?

A: Yes. Classic PAM still matters for legacy systems that depend on vaulting, password rotation, and session monitoring. The mistake is treating those controls as sufficient for cloud, workload, and AI access. Dynamic access controls extend PAM rather than replace it, so organisations should run both models with clear scope boundaries.

Technical breakdown

How standing privilege expands the NHI attack surface

Standing privilege means access remains active after the moment of need has passed. In NHI environments, that often appears as over-provisioned service accounts, long-lived API keys, persistent cloud roles, and automation tokens that can still execute powerful actions long after deployment. The core weakness is not only exposure, but duration. Once a credential or entitlement is always on, compromise becomes a timing problem for the attacker rather than a control problem for the defender. This is why modern PAM is increasingly inseparable from NHI lifecycle management and continuous entitlement review.

Practical implication: Practitioners should inventory where elevated access persists beyond task scope and reduce it to the smallest viable time window.

Why JIT access changes the privilege model for workloads and AI agents

Just-in-time access changes privilege from a permanent assignment into a temporary authorization event. Instead of pre-assigning broad access, the system issues permissions for a specific task and revokes them after use. For workloads and AI agents, this matters because their execution contexts are often short-lived, highly automated, and difficult to supervise manually. JIT is therefore less about convenience than about constraining what an identity can do when it is most likely to be abused. Without that constraint, automation simply accelerates overreach.

Practical implication: Teams should map high-risk workflows to task-scoped access requests and pair them with automatic expiry and revocation.

Zero standing privileges and passwordless authentication in modern identity security

Zero standing privileges removes default entitlements so that no human, workload, or agent starts with permanent access. Passwordless authentication supports that model by reducing reliance on reusable secrets at the point where access begins. Together, they narrow the window in which an attacker can exploit a stolen credential or dormant role. The architectural point is that identity security must become dynamic at both authentication and authorization layers, especially where cloud, Kubernetes, and AI systems interact with sensitive infrastructure.

Practical implication: Use ZSP as the policy baseline and reserve persistent access only for tightly justified exceptions with compensating controls.

Threat narrative

Attacker objective: The attacker aims to turn one compromised identity into durable control over infrastructure, data, or automation.

1. Entry occurs when an attacker obtains a standing credential, over-privileged service account, or copied secret that was never truly removed from the environment.
2. Escalation follows when that identity already carries broad permissions across cloud, CI/CD, or SaaS systems, allowing the attacker to move from one foothold to broader control.
3. Impact is realized when the attacker uses that durable privilege to change configurations, access data, or manipulate automation at scale.

Breaches seen in the wild

• Moltbook AI agent keys breach — Moltbook breach exposed 1.5M AI agent keys.
• Reviewdog GitHub Action supply chain attack — reviewdog/action-setup GitHub Action supply chain attack exposed secrets.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Privilege is no longer a role-based exception. It is the operating condition of modern infrastructure. The article is directionally correct in treating privilege as the control plane, but the deeper implication is that IAM programs must move from account-centric thinking to authority-centric thinking. In NHI-heavy environments, privilege is distributed across identities, workflows, and tool chains that change faster than review cycles. Practitioners should govern the authority itself, not just the accounts that carry it.

Zero standing privileges is becoming the practical baseline for NHI governance. Persistent access is incompatible with a world of ephemeral workloads, AI agents, and automation. ZSP and JIT are not niche optimisations. They are the only credible way to shrink the blast radius of compromised non-human identities while keeping operations fast enough for modern delivery models. Practitioners should treat standing access as an exception that must be defended, not a default that must be accepted.

Ephemeral credential trust debt is the right way to describe today’s access problem. Teams are adopting short-lived access patterns, but they often leave behind broad trust assumptions, weak offboarding, and incomplete observability. That means the apparent security gain is smaller than it looks on paper. Practitioners should measure whether ephemeral access actually reduces recovery time, review burden, and unauthorised reuse, not just whether it shortened token lifetime.

The future of PAM is convergence, not replacement. Classic vaulting, rotation, and session monitoring still matter for legacy estates, but they are no longer sufficient as a standalone model. The field is moving toward unified governance across human, machine, and AI identities, with policy deciding when access is issued and when it is revoked. Practitioners should plan for layered control rather than treating modern identity security as a clean break from PAM.

AI governance will increasingly inherit PAM decisions. As agents gain execution authority, privilege management becomes a prerequisite for safe automation. The important shift is not simply that AI needs access, but that AI now participates in access decisions, data access, and operational actions. Practitioners should align AI governance and identity governance before those controls diverge in production.

From our research:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
• If privilege is now the control plane, the NHI Lifecycle Management Guide is the practical next read for provisioning, rotation, and offboarding decisions.

What this signals

Identity programmes will be judged less by how much they can protect and more by how fast they can reduce privilege. The immediate operational signal is that access reviews, offboarding, and exception handling become the real control points for NHI governance. Teams that cannot remove privilege quickly will struggle to contain even routine compromise scenarios.

Privilege telemetry will become more valuable than static entitlement reports. As AI agents and automation expand the number of access decisions, security teams need evidence of when privilege was issued, used, and revoked. That shifts the programme toward continuous monitoring and away from quarterly attestations as the primary source of truth.

With NHIs outnumbering human identities by 25x to 50x in modern enterprises, the governance burden is already structurally higher than most access teams are staffed to handle. That scale pushes organisations toward policy automation, tighter lifecycle controls, and clearer ownership for machine access paths.

For practitioners

• Map standing privilege across all identity types Inventory human, machine, and AI identities, then flag persistent entitlements in cloud roles, API keys, service accounts, and admin consoles. Pay special attention to access that survives deployment, ownership changes, or pipeline runs.
• Move high-risk access to JIT workflows Require task-scoped approval and automatic expiry for elevated actions in production environments. Make revocation immediate, especially for access used by automation and operator break-glass paths.
• Reduce reliance on reusable secrets Where possible, replace long-lived credentials with passwordless authentication, short-lived tokens, or workload identity patterns that do not expose static secrets in code, config, or CI/CD.
• Separate legacy PAM from dynamic access policy Keep vaulting and session monitoring for older systems, but do not let that model define your cloud and AI governance. Build policy that can distinguish static administration from ephemeral execution.
• Review AI agent permissions as privileged access Treat agent tool use, data reach, and command execution as privileged actions that need explicit scoping, logging, and revocation. Do not assume agent autonomy can be governed by human-only access rules.

Key takeaways

• Privilege has become a dynamic risk surface across human, machine, and AI identities, so IAM programmes need authority-centric control models.
• Standing access remains the main exposure multiplier because compromise becomes easier when entitlements persist beyond the task that justified them.
• Practitioners should treat ZSP, JIT, and lifecycle revocation as core governance controls, not optional hardening measures.

Key terms

• Standing Privilege: Standing privilege is access that remains active beyond the moment it is needed. In NHI environments, it usually appears as persistent roles, reusable secrets, or always-on entitlements that expand blast radius when compromised. The control goal is to make permanent access exceptional, visible, and justifiable.
• Just-in-Time Access: Just-in-time access is a pattern that grants elevated permissions only when a specific task requires them. For non-human identities, it reduces the time a credential can be abused and makes authorisation events more auditable. It works best when paired with automatic expiry and revocation.
• Zero Standing Privileges: Zero standing privileges is the policy position that no identity should start with permanent access by default. It is a governance model for human, machine, and AI identities that treats all elevated access as temporary, scoped, and revocable. The objective is to shrink the attack window and the blast radius.
• Non-Human Identity: A non-human identity is any digital identity used by software rather than a person, including service accounts, API keys, tokens, certificates, workloads, bots, and AI agents. These identities often carry broad permissions, are poorly inventoried, and are harder to govern because they operate at machine speed.

Deepen your knowledge

Privilege governance for humans, workloads, and AI agents is a core topic in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building a control model for dynamic access, it is worth exploring.

This post draws on content published by CyberArk: The next chapter of identity security begins with privilege. Read the original.