How should security teams extend zero trust beyond traditional PAM?

Why This Matters for Security Teams

Extending zero trust beyond PAM matters because PAM only governs a slice of the identity estate, while modern enterprise risk is distributed across service accounts, API keys, workload tokens, vendor OAuth grants, and autonomous agents. NIST’s NIST SP 800-207 Zero Trust Architecture treats trust as something to be continuously evaluated, which is a better fit for machine identities than static privilege vaulting alone. NHIMG research shows why this is urgent: 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, yet only 5.7% of organisations have full visibility into their service accounts.

The practical failure is that PAM often becomes a control plane for humans, while machine access grows around it through code, CI/CD, cloud roles, and partner integrations. That leaves privilege spread across separate owners, separate logs, and separate revocation paths, which makes assume-breach thinking incomplete. Security teams need a model where every identity type has a defined trust boundary, a time-bound credential, and a verifiable request context before access is granted.

In practice, many security teams encounter hidden privilege only after a service account or vendor token has already been used to move laterally, rather than through intentional trust-boundary design.

How It Works in Practice

Zero trust beyond PAM starts by classifying identities by how they operate, not by who owns them. Human admins, CI/CD runners, workloads, SaaS connectors, and AI agents should not share the same trust assumptions. Each class needs its own policy, telemetry, and revocation path. For workloads and services, the best practice is evolving toward workload identity primitives such as Guide to SPIFFE and SPIRE, where a cryptographic identity proves what the workload is at runtime rather than relying on a long-lived secret.

That changes authorisation from pre-issued standing access to contextual decisions. Instead of granting broad RBAC once and reviewing later, teams evaluate whether the identity may perform the requested action right now, in this environment, for this purpose. Current guidance suggests pairing policy-as-code with short-lived credentials so access is issued per task, expires quickly, and is revoked automatically on completion. This is especially important when agents or automation can chain tools, retry actions, or pivot across systems in ways human operators do not.

• Use zero standing privilege for high-risk administrative paths, and issue JIT access only when a task is approved.
• Prefer short-lived tokens over static secrets, with tight TTLs aligned to workflow duration.
• Correlate identity, request context, and audit logs across PAM, cloud IAM, CI/CD, and secret managers.
• Separate trust boundaries for vendors, workloads, and human admins so one control failure does not expose all three.

NHIMG’s Ultimate Guide to NHIs — Standards is a useful reference for mapping lifecycle, rotation, visibility, and offboarding into a single governance model. These controls tend to break down in environments with fragmented cloud estates and unmanaged third-party OAuth grants because no single control plane sees the full privilege chain.

Common Variations and Edge Cases

Tighter zero-trust enforcement often increases operational overhead, requiring organisations to balance reduced blast radius against the friction of more frequent approvals, shorter token lifetimes, and richer telemetry. There is no universal standard for this yet, especially for autonomous agents and multi-agent workflows where access needs can change mid-task. In those cases, current guidance suggests favouring runtime authorisation over static entitlements, but teams still need human review for high-impact actions.

Edge cases also appear when legacy systems cannot support modern workload identity or contextual policy evaluation. In those environments, teams may need compensating controls such as network segmentation, vault-backed secret delivery, and stronger logging until the platform can be modernised. Third-party access is another weak point: vendor OAuth apps, shared service principals, and automation accounts often bypass PAM workflows entirely, so revocation and monitoring must be designed separately. NHIMG’s State of Non-Human Identity Security report highlights how often visibility gaps persist in these relationships.

Teams should also avoid assuming that all machine identities behave predictably. When access is tied to an AI agent or other autonomous workload, the identity can initiate unexpected tool chains, so the trust model must assume dynamic behaviour, not fixed usage patterns. That is where traditional PAM controls are necessary but not sufficient.

Related resources from NHI Mgmt Group

• How should security teams extend Zero Trust to non-human identities?
• How should security teams implement PAM as part of zero trust?
• How should security teams implement integrated PAM in a zero trust programme?
• Why do non-human identities complicate zero trust architecture?