PAM in 2025 is shifting from access control to identity governance

At a glance

What this is: This is an analysis of how PAM is evolving in 2025, with the main finding that privileged access now has to cover hybrid, cloud, DevSecOps, and zero-trust use cases.

Why it matters: It matters because privileged access is increasingly the control plane for NHI, contractor, and administrator risk, and weak PAM leaves both machine and human identity programmes with excessive standing access.

By the numbers:

• When AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes and as quickly as 9 minutes in some cases.

👉 Read Arcon's analysis of PAM in 2025 and beyond

Context

Privileged Access Management is the discipline of controlling elevated access to systems, data, and infrastructure. In this article's framing, PAM is no longer just about admin credentials and session recording. It is being positioned as part of a broader identity governance model that has to cover humans, contractors, service accounts, cloud access, and increasingly automated workflows.

That matters because the operating environment has changed faster than many privileged access programmes. Hybrid work, cloud sprawl, DevSecOps pipelines, and identity-based attack patterns all increase the number of places where privileged credentials exist and the speed at which they can be abused. The question for IAM teams is not whether PAM is still relevant, but whether it is being used to govern standing privilege across the full identity estate.

For teams looking to connect PAM to wider NHI governance, the practical baseline is the same one discussed in the Ultimate Guide to NHIs: privileged access only works when accounts, secrets, rotation, and offboarding are governed as a lifecycle, not handled as isolated controls.

Key questions

Q: How should security teams reduce standing privilege in privileged access management?

A: Security teams should convert standing privilege into time-bound access that is granted only for a specific task and revoked immediately afterward. The goal is to remove always-on admin rights, reduce lateral movement opportunities, and make privilege auditable at the session level rather than just at account creation.

Q: Why does user provisioning fail so often in hybrid and cloud environments?

A: It fails when access is spread across too many systems for one team or workflow to govern cleanly. Cloud and SaaS estates amplify role drift, duplicate entitlements, and delayed offboarding, especially when manual tickets still sit behind automated directories. The result is inconsistent access removal and a rising privilege creep problem.

Q: What do IAM teams get wrong about just-in-time access?

A: They often stop at policy design and never verify runtime behaviour. If access is still present after the task ends, or if exceptions become the norm, JIT has not reduced exposure. Teams should test approval, issuance, and revocation together, because the control only works when the entire access window is tightly bounded.

Q: What is the difference between privileged session monitoring and access certification?

A: Session monitoring observes what an identity does after access is granted, while access certification decides whether that access should exist in the first place. Both are needed. Monitoring helps detect abuse, but certification prevents unnecessary privilege from remaining in the environment.

Technical breakdown

Why privileged access becomes a governance problem in hybrid environments

Privileged access is no longer confined to a narrow administrator population. In hybrid estates, the same elevated permissions may sit in cloud consoles, CI/CD tools, remote access channels, and automation accounts. That creates a governance problem because access is distributed across multiple control surfaces, each with different logging, approval, and revocation mechanics. PAM only works when those surfaces are treated as one entitlement model rather than separate silos. Continuous verification, least privilege, and session accountability are the core design ideas, but they are harder to enforce when identities move across on-premises, cloud, and pipeline boundaries.

Practical implication: inventory privileged access by platform and identity type, then map where approvals, monitoring, and revocation break across environments.

How JIT access changes the standing privilege model

Just-in-time access reduces the duration of elevated permissions by issuing them only when needed and withdrawing them after the task completes. That changes the risk model because attackers have less time to abuse a compromised credential, and defenders have fewer persistent privileges to certify during access reviews. But JIT is not a cure-all. If request paths are broad, approvals are weak, or elevation can be repeated without meaningful oversight, standing privilege simply reappears in a more dynamic form. The control value comes from shortening exposure windows and binding privilege to a specific task and context.

Practical implication: define JIT eligibility by role, task, and time window, then verify that re-elevation cannot become a routine bypass.

What AI-driven PAM actually changes in privileged threat detection

AI-driven analytics in PAM are most useful when they correlate privileged session behaviour with expected norms, such as command patterns, access timing, and destination systems. This matters because privileged misuse often looks legitimate at the credential level. The detection problem is behavioural, not just authentication-based. However, behaviour models only help if the underlying privilege model is already clean. If access is over-broad, the model learns noise. AI in PAM should therefore be treated as an anomaly-detection layer on top of sound entitlement design, not as a substitute for governance.

Practical implication: use behavioural detection to flag unusual privileged activity, but first reduce entitlement noise and stale elevated access.

Threat narrative

Attacker objective: The attacker wants durable elevated access that can be used to control critical systems, move laterally, or alter sensitive assets without immediate detection.

1. Entry occurs when attackers target privileged credentials through identity-based attacks, supply chain compromise, or exposed access paths.
2. Escalation follows when those credentials grant elevated permissions across cloud, remote access, or DevSecOps systems, allowing broad administrative reach.
3. Impact lands when privileged abuse enables unauthorized modification, persistence, or data access inside critical systems.

Breaches seen in the wild

• MongoBleed breach — MongoBleed exposed secrets across 87K MongoDB servers.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

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

NHI Mgmt Group analysis

Standing privilege is the control failure PAM was built to eliminate, but many programmes still tolerate it. The article correctly points to least privilege and JIT access, yet the deeper issue is that organisations often leave elevated access in place long enough for abuse to become inevitable. That is a governance failure, not a tooling gap. The practitioner conclusion is simple: if privilege remains persistent, PAM is being used as a wrapper around risk rather than a control against it.

Privileged Access Management now functions as an NHI governance layer, not just an admin access layer. The article's references to cloud, DevSecOps, and automated workflows show why privileged identities must be governed as non-human identities wherever they are used by systems, pipelines, and service accounts. This aligns with OWASP-NHI and the NIST Cybersecurity Framework in practice. The conclusion for IAM teams is that privileged identity inventories must include machine and workflow actors, not just humans.

JIT access only changes security outcomes when it is enforced as a lifecycle rule, not a convenience feature. The article treats JIT as a way to reduce unnecessary access, but the real governance value comes from preventing privilege from becoming durable by default. If access can be re-requested endlessly without friction, the programme has not removed standing privilege, only disguised it. The conclusion is that entitlement renewal, approval depth, and session expiry must be designed together.

AI-assisted PAM widens the detection lens, but it does not repair bad privilege architecture. Behavioural analytics can highlight anomalous privileged activity, yet the article's own logic shows that over-broad permissions and weak workflows create the conditions for noise and blind spots. The field-level lesson is that AI belongs after entitlement hygiene, not before it. The practitioner conclusion is to fix privilege scope first, then use analytics to reduce response time.

From our research:

• Two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks, according to The 2024 ESG Report: Managing Non-Human Identities.
• Our research also shows that the average organisation believes more than 1 in 5 of their non-human identities are insufficiently secured, which shows how quickly privilege gaps become systemic.
• For a broader lifecycle view, see Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs and use it to connect privilege governance to provisioning, rotation, and offboarding.

What this signals

Standing privilege is becoming the fault line between governance and operational convenience. As PAM expands into cloud, DevSecOps, and hybrid access, teams need to treat privilege as a lifecycle state, not an exception path. That shift matters because the fastest route to risk is usually not a sophisticated exploit, but an elevated identity that stayed alive too long.

Identity programmes that separate PAM from NHI governance will miss the real control problem. The same review, revocation, and accountability questions apply to admins, service accounts, and automation credentials. Teams that already use the 52 NHI Breaches Analysis as a reference point should use it to pressure-test whether their privileged access model can survive identity-based attacks.

With privileged access now crossing human and non-human workflows, the next programme question is not whether to add more controls, but whether access scope can still be justified at the moment of use. That is where PAM, lifecycle governance, and zero trust either reinforce one another or leave a gap large enough for abuse.

For practitioners

• Inventory every privileged identity across human and non-human actors Build a single inventory that includes administrator accounts, service accounts, cloud roles, and pipeline credentials. Tag each identity by owner, system, approval path, and revocation process so standing privilege is visible rather than inferred.
• Convert persistent elevation into task-scoped JIT access Set elevation requests to expire automatically after the approved task window, and require re-approval for repeat use. Where repeated elevation is common, treat that as a sign the base role is too broad.
• Tie privileged session monitoring to abnormal command and target patterns Alert on privileged sessions that diverge from expected commands, destinations, or timing. Use session recording and behavioural baselines together so investigators can distinguish legitimate administration from abuse.
• Align PAM governance with NHI lifecycle controls Apply the same lifecycle discipline used for service accounts to privileged human access: provision, certify, rotate where relevant, and remove access at offboarding or role change. That reduces the chance that elevation outlives need.
• Use framework mapping to force control ownership Map privileged access controls to NIST Cybersecurity Framework identity protection outcomes and to the Ultimate Guide to NHIs lifecycle section so ownership, review cadence, and revocation are explicit.

Key takeaways

• PAM is shifting from a narrow admin-control function to a broader governance layer for elevated human and non-human access.
• The core risk is standing privilege, because persistent elevation gives attackers more time and more paths to misuse high-trust access.
• JIT access, behavioural monitoring, and lifecycle governance only work together when privilege scope is actively owned and routinely removed.

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.
• JIT — Just-in-Time Access: A security approach that grants access permissions only for the duration needed to complete a specific task, then automatically revokes them. JIT access eliminates standing privileges for NHIs, dramatically reducing attack surface.
• Privileged Session Monitoring: Privileged Session Monitoring is the recording and review of high-risk access sessions after elevation is granted. It gives security teams visibility into commands, queries, and configuration changes, helping them detect misuse, support investigations, and prove that administrative actions were authorised.
• Privileged access lifecycle: Privileged access lifecycle is the full control process for issuing, using, reviewing, rotating, and removing high-risk access. For break-glass scenarios, the lifecycle is short and event-driven, but it still needs ownership, audit evidence, and immediate retirement once the emergency ends.

What's in the full article

Arcon's full article covers the operational detail this post intentionally leaves for the source:

• The article expands on practical PAM use cases across cloud, DevSecOps, IoT, and OT environments.
• It walks through feature areas such as unified access, RBAC, session recording, and automated workflows.
• It describes how JIT access, audit logging, and AI-assisted threat detection are positioned in the 2025 PAM model.
• It adds a forward-looking view of how organisations should prepare privileged access programmes for hybrid work and infrastructure change.

👉 The full Arcon article covers PAM features, use cases, and preparation steps for 2025.

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.