By NHI Mgmt Group Editorial TeamPublished 2026-05-12Domain: Governance & RiskSource: SSH Communications Security

TL;DR: Privileged access management is moving beyond administrator accounts toward action-based governance across humans, service accounts, APIs, workloads, and AI-driven systems, according to SSH Communications Security’s coverage of Alejandro Leal’s EMEA Partner Summit remarks. The shift makes visibility, short-lived access, and context-aware authorization the control points that matter most.


At a glance

What this is: This is an analysis of how privileged access management is expanding from account-centric control to action-centric governance across human, machine, and AI-driven identities.

Why it matters: It matters because IAM, PAM, and NHI programmes now have to govern what identities can do at runtime, not just which accounts exist in the directory.

By the numbers:

👉 Read SSH Communications Security's analysis of PAM beyond administrator accounts


Context

Privileged access management is no longer limited to administrator logins and vaulting workflows. The deeper problem is that privilege now lives in the actions an identity can perform, which means human users, service accounts, APIs, workloads, cloud entitlements, and AI-driven systems all sit inside the same governance question.

That creates a gap for IAM teams that still think in terms of account inventory rather than runtime capability. When machine identities authenticate continuously and act with weak ownership, the control surface shifts toward visibility, short-lived access, and policy enforcement across every privileged action.

For a broader NHI baseline, the governance challenge is the same one NHIMG has documented across secret sprawl, over-privilege, and lifecycle gaps in the Ultimate Guide to NHIs.


Key questions

Q: How should security teams govern privileged access across service accounts and AI-driven systems?

A: Security teams should govern privileged access by focusing on the actions an identity can perform, not only on the account it uses. That means short-lived credentials, task-scoped permissions, clear ownership, and real-time policy decisions. Without those controls, service accounts and AI-driven systems accumulate standing privilege that is difficult to review or safely revoke.

Q: Why do non-human identities change the PAM risk model?

A: Non-human identities change the PAM risk model because they authenticate continuously, operate at machine speed, and often lack stable human ownership. Those traits make account-centric reviews incomplete. The real risk is not just a credential existing, but an overpowered identity repeatedly acting beyond the scope its original access decision assumed.

Q: What breaks when privilege is still managed as an account problem?

A: When privilege is still managed as an account problem, security teams miss the action-level permissions that actually create risk. A token, API key, or workload identity may look harmless in inventory while still being able to execute sensitive operations. That gap leaves runtime access unchecked and makes blast radius harder to contain.

Q: What frameworks help with action-based PAM governance?

A: NIST Cybersecurity Framework 2.0, Zero Trust Architecture, and NHI governance guidance are the most useful starting points. Together they help teams tie privileged access to verification, least privilege, and continuous control. The goal is to align access decisions with the operation being performed, not just the identity type.


Technical breakdown

Privilege as actions, not accounts

Traditional PAM treats privilege as a property of an account, usually a named administrator or service credential. The model in this article is broader: privilege is the ability to execute a sensitive action in a given environment. That matters because the same identity may need different permissions depending on task, context, and time. In practical terms, the control plane shifts from who owns the account to what action is being requested, whether the request is justified, and whether the permission should exist only for that specific session or workflow. This is how modern PAM starts to overlap with policy enforcement and entitlement governance.

Practical implication: inventory privileged actions first, then map accounts, tokens, and workloads to those actions.

Non-human identities and continuous authentication

Service accounts, API tokens, workloads, and AI systems do not behave like human users. They can authenticate repeatedly, act programmatically, and often lack a clear business owner, which makes static access models brittle. If ownership is vague, recertification loses meaning and overprivilege becomes sticky. This is why machine identity visibility is not just a hygiene issue. It is a structural dependency for controlling privilege at scale. PAM, IGA, and secrets management all need a shared view of which non-human identities exist, what they can do, and whether those permissions are still justified.

Practical implication: establish service account ownership and entitlement visibility before expanding privilege controls.

AI-driven systems need task-scoped authorisation

The article’s AI examples point to a shift from broad standing access toward tightly defined, task-specific permissions. That is especially important where an AI agent can accelerate attacks, chain actions, or request access dynamically. In those cases, broad administrative privilege becomes an unnecessary blast-radius multiplier. The governance question is not whether the system is automated. It is whether its action set is narrow enough that one request cannot become an extended control failure. That pushes PAM toward short-lived credentials, real-time policy decisions, and granular authorization tied to exact operations.

Practical implication: bind AI-driven systems to task-scoped permissions and deny broad standing access by default.


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 becoming an action model, not an account model. The article reflects a real shift in identity security: access decisions are increasingly about what an identity can do at runtime, not whether it holds a named privileged account. That aligns with how attackers already work across human, NHI, and AI-driven environments. The implication for practitioners is that PAM must be evaluated as a control layer over behaviour, not a vault around credentials.

Standing privilege is the wrong assumption for machine-driven environments. Human-centric governance assumes access can be granted, reviewed, and later removed on a stable lifecycle. That assumption fails when service accounts, APIs, and workloads are continuously active and often poorly owned. The implication is that entitlement reviews alone cannot explain privilege risk in non-human estates; the programme has to understand runtime capability and operational dependency.

Identity fabric is the right architectural direction, but only if it removes governance fragmentation. The article’s callout to identity fabric reflects a broader market move toward linking PAM, IGA, secrets management, and cloud entitlement control. Fragmented tooling leaves different privilege views for the same identity, which creates governance blind spots. The implication for practitioners is to treat identity fabric as an operating model question, not just a tooling category.

AI-driven privilege expansion is forcing security teams to rethink access boundaries. The article is right to tie AI systems to shorter-lived credentials and real-time policy, because AI changes the tempo of access abuse as much as the volume. When an identity can execute faster than a human review cycle, static governance loses relevance. The implication is that privilege management must be built around task containment, not assumed operator discipline.

From our research:

What this signals

Privilege governance is moving from identities to behaviour. That shift means IAM and PAM programmes need a common way to describe allowed actions across human users, machine accounts, and AI-driven workflows. If the entitlement model cannot express runtime intent, it will keep missing the real control boundary.

Action-based privilege will force better ownership discipline for NHIs. With NHIs outnumbering human identities by 25x to 50x in modern enterprises, the operating risk is not isolated misuse but unmanaged scale. Teams should expect more pressure to standardise ownership, scope, and lifecycle evidence across every non-human credential.

The next programme question is not whether PAM exists, but whether it can prove who or what may perform a sensitive action at the moment it is requested. That is where policy, telemetry, and identity governance will converge.


For practitioners

  • Map privileged actions before privileged accounts Create an action inventory for the top sensitive operations in your environment, then map humans, service accounts, APIs, workloads, and AI-driven systems to each one. This exposes where privilege exists in practice, not just where it is named in a directory.
  • Assign clear owners to every non-human identity Require a business or technical owner for each service account, token, workload identity, and automation path. Where ownership is missing, recertification and offboarding cannot be trusted to remove unnecessary access.
  • Replace standing access with task-scoped controls Use short-lived credentials and real-time policy enforcement for privileged operations that do not need persistent access. Tie approvals to specific actions, not broad role membership, especially for cloud and AI-driven systems.
  • Unify PAM, IGA, and secrets visibility Build a shared view of entitlements, secrets, and execution paths so the same identity is not governed through three conflicting control planes. Fragmentation is where privilege drift becomes invisible.

Key takeaways

  • PAM is shifting toward action-level governance because accounts alone no longer describe where privilege really sits.
  • Machine identities and AI-driven systems amplify risk when ownership, scope, and lifecycle controls are weak.
  • Practitioners should unify PAM, IGA, and secrets visibility around task-scoped access and short-lived credentials.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

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.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-01Privilege sprawl across service accounts and tokens is a core NHI governance risk.
NIST CSF 2.0PR.AC-4Least-privilege access and entitlement review are central to action-based PAM.
NIST Zero Trust (SP 800-207)Zero Trust aligns with runtime verification and short-lived access for privileged actions.

Inventory non-human identities and bind every privileged action to an owned, reviewable credential.


Key terms

  • Privileged Action: A privileged action is a sensitive operation that can change data, configuration, access, or control inside an environment. In modern PAM, the action matters more than the account label because the same identity may be harmless in one context and high risk in another.
  • Non-Human Identity: A non-human identity is a machine or software credential used by a service, workload, API, bot, or AI system. These identities often operate continuously and at scale, so governance depends on ownership, scope, rotation, and visibility rather than user-centric assumptions.
  • Identity Fabric: Identity fabric is an architecture that links PAM, IGA, secrets management, and entitlement control into one governance view. It reduces blind spots by letting teams see who or what can act, where the credentials live, and whether access still matches the business need.
  • Task-Scoped Access: Task-scoped access grants permission only for a specific operation, window, or context. It limits blast radius by preventing broad standing privilege and is especially useful where workloads or AI-driven systems need narrow, auditable authority.

Deepen your knowledge

Privileged access management for service accounts, workloads, and AI-driven systems is covered in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are redesigning PAM around runtime actions rather than accounts, it is worth exploring.

This post draws on content published by SSH Communications Security: analysis of PAM beyond administrator accounts. Read the original.

NHIMG Editorial Note
Published by the NHIMG editorial team on 2026-05-12.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org