By NHI Mgmt Group Editorial TeamPublished 2025-01-22Domain: Governance & RiskSource: Keeper Security

TL;DR: Traditional security models still assume trust once a user or device is inside the network, while zero trust requires continuous verification and least privilege, according to Keeper Security. That assumption gap matters because privileged access, segmentation, and monitoring determine whether a compromise stays contained or becomes lateral movement.


At a glance

What this is: A comparison of traditional perimeter security and zero-trust access control, with PAM positioned as the control layer that turns continuous verification into operational practice.

Why it matters: It matters because IAM, PAM, and lifecycle teams need to replace implicit trust with least privilege, segmentation, and monitored access across users, systems, and privileged sessions.

👉 Read Keeper Security's comparison of zero trust and traditional security models


Context

Zero trust is an access model, not just a network design choice. The core issue is that traditional perimeter security assumes trust once an identity is inside the environment, which breaks down when users, devices, and privileged sessions move across cloud, remote, and hybrid estates.

For IAM and PAM teams, the practical question is how to make access decisions continuously rather than at the point of entry. That pushes the programme toward stronger authentication, tighter entitlements, session monitoring, and shorter-lived privilege across both human and non-human identities.


Key questions

Q: How should security teams implement zero trust for privileged access?

A: Start by removing implicit trust from the access path. Use PAM to broker privileged sessions, enforce just-in-time access, require strong authentication, and segment sensitive resources so privilege stays task-scoped. The goal is not only to verify identity at login, but to keep access narrow, observable, and revocable throughout the session.

Q: Why do traditional security models increase lateral movement risk?

A: Traditional models often trust identities after they enter the network, which gives compromised users or devices broad reach inside the environment. Once access is overly broad, attackers can move from one system to another with fewer checks. Zero trust reduces that risk by verifying each request and dividing the environment into smaller access zones.

Q: How do teams know whether least privilege is actually working?

A: Look for evidence that users and administrators only receive the access required for the task, that excess access is revoked quickly, and that privileged activity is logged and reviewed. If broad entitlements persist between reviews or can reach unrelated systems, least privilege is present in policy only, not in practice.

Q: Who is accountable when zero-trust access decisions fail?

A: Accountability sits with the IAM, PAM, and security owners who define the access model and the operational owners who enforce it. If a compromised identity can still reach sensitive systems, the failure is usually governance, segmentation, or revocation control, not just authentication. Strong policy without enforceable lifecycle control does not contain exposure.


Technical breakdown

Implicit trust versus continuous identity verification

Traditional security models treat the network boundary as the main control point. Once an identity crosses that boundary, access often becomes broad and persistent. Zero trust reverses that logic by verifying identity, device, and context at each access request, then limiting the resulting permissions to the minimum required. This matters because the boundary no longer tells you whether the requester is safe. The control has to move from location-based trust to identity-based authorization and ongoing session validation.

Practical implication: move access decisions from perimeter entry to per-request verification and session-aware policy enforcement.

Least privilege, segmentation, and privileged access management

Least privilege only works if access is both narrow and enforceable. The article ties zero trust to RBAC, JIT access, and segmentation, which together reduce how far an identity can move after authentication. PAM adds the operational layer by brokering privileged access, isolating sensitive resources, and revoking access when the task ends. Without those controls, a compromised account can still inherit more access than the business intended, especially in flat or weakly segmented environments.

Practical implication: use PAM to enforce JIT privilege and segment high-value systems so access cannot spread laterally.

Monitoring, logging, and response for privileged sessions

Zero trust depends on visibility as much as authorization. The article notes that traditional models often have limited logging, which makes suspicious activity harder to spot and investigate. In a zero-trust design, privileged sessions are monitored, events are recorded, and anomalous behavior can trigger alerting or additional checks. That shifts security from a one-time allow decision to an observable access lifecycle. For identity teams, the issue is not only who got in, but what they did while inside the environment.

Practical implication: require session monitoring and alerting for privileged access, not just authentication logs at the edge.


NHI Mgmt Group analysis

Traditional security fails because it treats network location as proof of trust. That assumption was designed for bounded, on-prem environments where the perimeter could stand in for identity assurance. It fails when access is distributed across cloud, remote work, and hybrid estates, because location no longer tells you whether an identity is safe. The implication is that identity governance has to replace perimeter trust as the primary decision layer.

Zero trust is really a privilege containment model, not just an authentication model. The useful shift is not continuous login friction, but the reduction of standing access, lateral movement, and hidden privilege paths. PAM, segmentation, and JIT access turn identity from a broad network entitlement into a bounded task control. For practitioners, the programme question is whether access can still expand faster than the business can observe it.

Least privilege is only credible when privilege can be revoked, segmented, and audited in the same operational window. Static access models assume entitlements remain acceptable until the next review cycle. In real environments, that review lag creates exposure even when the policy looks sound on paper. The practical conclusion is that governance must track access as a live state, not a periodic certification outcome.

Identity governance has to cover human and machine access with the same control logic. The article is written around users and devices, but the architectural lesson extends to service accounts, tokens, and other non-human identities that also cross trust boundaries. If the programme only hardens human login flows while leaving machine credentials broad and persistent, the zero-trust model is incomplete. Practitioners need one access model across both human and non-human execution paths.

From our research:

  • 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities, according to The State of Non-Human Identity Security.
  • The same research found that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which makes trust validation harder across delegated access paths.
  • For teams building a zero-trust programme, 52 NHI Breaches Analysis is the right follow-on resource for understanding how weak visibility turns into real exposure.

What this signals

Identity teams should treat zero trust as an operating model change, not a control retrofit. The shift only holds if authentication, authorization, monitoring, and revocation are managed as one chain. When teams still separate those functions, they recreate the same implicit trust gap under a different label.

The useful programme signal is whether privileged access can be proven to expire. If JIT access, segmentation, and session logging do not line up, the environment is still relying on residual trust instead of continuous verification.

Standing privilege debt: once elevated access remains available between tasks, the programme accumulates hidden exposure that a quarterly review cannot fully see. That is where zero-trust design should be tested first.


For practitioners

  • Replace perimeter trust with per-request authorization Require each access attempt to be evaluated on identity, device posture, and context instead of assuming that internal network placement is enough.
  • Use PAM to eliminate standing privileged access Broker elevated access through just-in-time approval and revoke it as soon as the task ends, then verify that no lingering entitlement remains.
  • Segment high-value systems into tightly scoped zones Split sensitive resources so a compromised identity cannot move laterally from one application or administrative plane to another without a separate authorization step.
  • Audit privileged session visibility and alerting Confirm that privileged actions are logged, session activity is monitored in real time, and abnormal behavior generates an alert that someone must act on.

Key takeaways

  • Traditional security models fail because they treat network location as a proxy for trust, which leaves broad access in place after authentication.
  • Zero trust reduces risk by combining continuous verification, least privilege, segmentation, and monitored privileged sessions.
  • The deciding factor for practitioners is whether access can be narrowed and revoked fast enough to stop lateral movement before it starts.

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 Zero Trust (SP 800-207) and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST Zero Trust (SP 800-207)The article is built around continuous verification and removing implicit trust.
NIST CSF 2.0PR.AC-4Least privilege and managed access are the article's core governance controls.
OWASP Non-Human Identity Top 10NHI-03The PAM and secret-rotation discussion aligns with NHI credential governance.

Review privileged entitlements against least-privilege requirements and remove excess standing access.


Key terms

  • Zero Trust: A security model that does not assume trust based on network location or prior authentication. Access is granted only after continuous verification of identity, device posture, and context, then limited to the minimum required for the current request or task.
  • Privileged Access Management: The discipline and control layer for governing elevated access to sensitive systems, accounts, and data. PAM brokers, monitors, and revokes privileged access so that high-risk permissions are time-bound, observable, and harder to reuse outside the intended task.
  • Just-in-Time Access: A model for granting access only when it is needed and only for the duration of the task. In practice, it replaces persistent privilege with temporary entitlement, which reduces standing exposure and narrows the window in which an identity can be abused.

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 responsible for identity security strategy or governance in your organisation, it is worth exploring.

This post draws on content published by Keeper Security: Zero Trust vs Traditional Security Models: What’s the Difference? Read the original.

NHIMG Editorial Note
Published by the NHIMG editorial team on 2025-01-22.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org