Identity-first zero trust is reshaping least privilege maturity

At a glance

What this is: This analysis argues that identity has become the first Zero Trust pillar, with maturity now measured by how well organisations enforce least privilege, visibility, and automation across identities rather than by network segmentation alone.

Why it matters: IAM, PAM, and NHI practitioners need to treat Zero Trust maturity as an identity governance problem because the control plane now spans people, machine identities, and future autonomous actors.

Context

Zero Trust Architecture is not a product category. It is a control model that combines policies, telemetry, and enforcement points so access can be continuously verified instead of assumed. In this framing, identity is the entry point for deciding who or what may reach a resource, under what conditions, and for how long.

The article’s central governance point is that CISA’s updated maturity model now places Identity first, which changes how teams benchmark progress. For IAM, IGA, PAM, and NHI programmes, that shifts maturity away from static network boundaries and toward observable identity controls, entitlement scope, and policy automation across environments.

Key questions

Q: How should teams benchmark Zero Trust maturity when identity is the first pillar?

A: Benchmark maturity by whether identity signals drive real enforcement across people, devices, workloads, and data, not by whether Zero Trust is mentioned in policy. If entitlements, exposures, and drift are still reviewed manually after the fact, the programme is not yet operating at an advanced maturity level.

Q: Why does least privilege break down when identity visibility is incomplete?

A: Least privilege depends on knowing which entitlements exist, where they are used, and when they drift from intended scope. Without continuous visibility across directories, endpoints, cloud services, and workloads, access reviews become stale snapshots that miss overprovisioned or orphaned privilege.

Q: What are the signs that identity controls are not supporting zero trust as intended?

A: Common signs include accounts not using MFA, service accounts being reused for user access, identity stores outside admin control, and assets being accessed through paths that bypass ZTNA or PAM policy. Another warning sign is incomplete visibility into user, service, and device accounts. When those signals appear together, identity governance is not enforcing the intended zero trust boundary.

Q: Should organisations prioritise identity governance before micro-segmentation in Zero Trust?

A: In most hybrid and cloud-first environments, yes. Identity governance addresses who gets access and whether that access still makes sense, while segmentation mainly constrains where traffic can go. If the underlying identity model is weak, segmentation often just contains bad access rather than preventing it.

Technical breakdown

Identity first changes how Zero Trust maturity is measured

Zero Trust maturity is a progression model, not a binary deployment. In the updated CISA model, the five pillars are Identity, Device, Network Environment, Application/Workload, and Data, with Traditional, Advanced, and Optimal maturity stages inside each. That ordering matters because identity determines whether access decisions can be evaluated continuously or only at provisioning time. Traditional maturity relies on static policies and manual configuration. Optimal maturity requires automated attribute assignment, dynamic policy decisions, and continuous visibility into exposures and drift. For identity teams, the control question is no longer whether Zero Trust exists, but whether identity signals actually drive enforcement.

Practical implication: Map current IAM and NHI controls to the maturity stage they truly support, not the stage you assume they support.

Least privilege depends on continuous identity visibility

Least privilege is only enforceable when permissions, entitlements, and exposures are continuously visible across endpoints, directories, cloud services, and workloads. The article ties identity to continuous monitoring because identity-based attacks frequently succeed through compromised credentials, overprovisioned access, or orphaned accounts. That means the access model must see not just who was granted access, but whether entitlement scope still matches the current operating context. In Zero Trust terms, identity becomes the policy input that determines whether access is entitled, conditional, and revalidated as the environment changes.

Practical implication: Treat entitlement visibility and access drift detection as core least-privilege controls, not optional reporting.

Policy automation is the difference between drift and enforcement

The article links maturity with automated attribute assignment, dynamic policies based on observed triggers, and orchestration across environments. That is the difference between an identity programme that documents decisions and one that enforces them at runtime. Manual access reviews can identify problems, but they cannot keep pace with changing entitlements, especially when identities span cloud, endpoint, and directory services. Automation also matters for policy drift, because Zero Trust fails when exceptions accumulate faster than enforcement can catch up. In practice, policy automation is the mechanism that turns identity telemetry into revocation, step-up, or denial decisions.

Practical implication: Prioritise automated identity policy enforcement where manual review cycles are already outpaced by access change.

Threat narrative

Attacker objective: The attacker’s objective is to turn identity trust into unauthorized access and broader control before defenders can detect the drift.

1. Entry begins when adversaries leverage compromised identities to reach trusted corporate resources instead of attacking the perimeter directly.
2. Escalation follows through overprovisioned entitlements, stored credentials, or identity misconfigurations that expand what the attacker can query or control.
3. Impact occurs when identity trust breaks down across endpoints, directory services, and cloud environments, enabling unauthorized access and privilege escalation.

Breaches seen in the wild

• Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.
• ArtiPACKED 2024: Unit 42 found public GitHub Actions artifacts in major open source projects leaking live GITHUB_TOKENs, runtime tokens and cloud tokens.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity maturity now defines Zero Trust maturity: CISA’s decision to place Identity first is not a cosmetic reorder. It reflects a structural reality that access decisions, entitlement scope, and continuous verification are the core of Zero Trust, while network segmentation is only one enforcement layer. For IAM and NHI teams, that means maturity scoring must start with whether identity is observable and governable across the full access path.

Least privilege is now a runtime control problem, not a provisioning problem: The article’s emphasis on continuous visibility and automated policies shows that static grants are insufficient for modern Zero Trust programmes. When identities span endpoints, directories, cloud services, and workloads, privilege state changes faster than manual governance can track. Practitioners should interpret this as a signal that entitlement drift is now the baseline risk condition.

Identity attack surface is the new Zero Trust benchmark: The article links identity-first maturity to exposures such as stored credentials, orphaned credentials, overprovisioned entitlements, and misconfigurations. That creates a useful named concept, identity attack surface: the live set of identities, permissions, and exposures that can be abused before policy catches up. Teams should measure maturity by how quickly that surface is reduced and revalidated.

Identity-first Zero Trust unifies human, NHI, and future autonomous governance: The article defines identity for both human and machine entities, which matters because the same control logic now spans users, service identities, and emerging autonomous behaviour. That does not mean every actor is governed identically, but it does mean the control plane is converging. The practitioner implication is that identity architecture, lifecycle discipline, and enforcement telemetry can no longer be designed in separate silos.

Continuous monitoring is the maturity gate that separates theory from enforcement: The updated model rewards automated data collection, correlation, and threat intelligence sharing because identity controls degrade when telemetry is fragmented. Without that feed, Zero Trust becomes a label rather than an operating model. Practitioners should use this to test whether their identity programme can actually prove, not merely claim, continuous verification.

From our research library:

• 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, according to the Ultimate Guide to NHIs.
• Systems with least-privileged AI access had a 17% incident rate vs 76% for over-privileged systems. Organisations failing to scope AI access properly are 4.5x more likely to experience a security incident, according to the 2026 Infrastructure Identity Survey.
• Read next: Zero Trust Identity Guide

What this signals

Identity attack surface: Zero Trust maturity should now be read as the ability to shrink the live set of identities, permissions, and exposures that an attacker can abuse before policy catches up. For practitioners, that means entitlement drift and orphaned access are not edge cases, they are the operating baseline that determines whether identity controls have any real force.

The practical question is whether your programme can revalidate access continuously across humans, NHIs, and the systems they touch. Static reviews still have value, but they do not resolve the gap between access being granted and access remaining justified.

The updated maturity model should also push teams to connect IAM, PAM, ITDR, and cloud entitlement management more tightly. When these controls remain siloed, Zero Trust becomes a set of disconnected checks instead of a coherent identity control plane.

For practitioners

• Align identity controls to Zero Trust maturity stages Map current identity, device, workload, and data controls to Traditional, Advanced, or Optimal maturity so gaps are visible in business terms.
• Inventory entitlements across directories and cloud Build a consolidated view of permissions, overprovisioned entitlements, and orphaned credentials across Active Directory, Azure AD, cloud IAM, and endpoint stores.
• Automate policy decisions for drift-prone access Use observed triggers, entitlement changes, and risk signals to drive step-up, denial, or revocation without waiting for the next review cycle.
• Tie identity telemetry to detection and response Feed identity events into ITDR workflows so unauthorized queries, privilege escalation attempts, and unusual access patterns are acted on before trust is lost.
• Reassess NHI governance under the same control plane Apply the same continuous visibility and entitlement discipline to service accounts, tokens, and workloads so machine identities do not sit outside Zero Trust governance.

Key takeaways

• Identity-first Zero Trust makes maturity a governance problem, not a perimeter problem, because access decisions now depend on continuous identity visibility.
• The article links practical maturity to entitlement drift, orphaned credentials, and overprovisioned access, which are the conditions attackers exploit first.
• Teams that cannot automate identity policy enforcement across directories, cloud services, and workloads are still operating below the level the updated model assumes.

Key terms

• Zero Trust: A security model that assumes no identity, human or non-human, should be trusted by default, even inside a network perimeter. Every access request must be verified, authorised, and continuously validated.
• Least Privilege: A security principle requiring that every identity, human or non-human, is granted only the minimum permissions necessary to perform its function. Least privilege is the single most effective control for reducing NHI blast radius.
• Identity Attack Surface: Identity attack surface is the total set of accounts, tokens, login endpoints, trust paths, and supporting systems that can be probed for access. For password spraying, the risk grows with every externally reachable authentication path and every dormant or weakly protected identity.
• Identity Threat Detection and Response: Identity threat detection and response is the practice of finding misuse of credentials, unusual access patterns, and compromised identities across human and machine actors. For NHIs, it relies on telemetry from code, vaults, cloud services, and pipelines to detect abuse early enough to contain it.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle 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 NHI governance in your organisation, it is worth exploring.