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Governance, Ownership & Risk

Why do traditional access reviews fail when organisations have too many apps, identities, and permissions?

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By NHI Mgmt Group Editorial Team Updated August 27, 2026 Domain: Governance, Ownership & Risk

Traditional reviews fail because managers are forced to approve large volumes of access without enough context. That creates review fatigue, encourages rubber-stamping, and leaves unused or over-privileged access in place. The result is weaker governance, noisier audits, and more residual risk from dormant accounts, excessive permissions, and decisions made without real usage evidence.

Why This Matters for Security Teams

Access reviews are supposed to be a corrective control, but at scale they often become a compliance exercise detached from how access is actually used. When organisations have hundreds of apps, overlapping roles, service accounts, and stale entitlements, reviewers rarely have enough operational context to distinguish necessary access from inherited risk. The result is approval bias, delayed removals, and a widening gap between policy and reality.

This is especially dangerous for non-human identities, where permissions are not shaped by a manager’s intuition but by automation, integration sprawl, and hidden dependencies. NHI Management Group’s Ultimate Guide to NHIs and the Ultimate Guide to NHIs — Key Challenges and Risks show how quickly inventory gaps, ownership ambiguity, and credential sprawl compound each other. OWASP’s OWASP Non-Human Identity Top 10 also highlights how over-permissioned machine access becomes a durable attack path when reviews are the only line of defence. In practice, many security teams discover that access review failure is not a process issue first, but an identity-scale problem that was already embedded in the environment.

How It Works in Practice

Traditional access reviews depend on humans making periodic judgments about access they did not grant, do not use, and often do not understand. That model breaks down when the environment contains thousands of entitlements across SaaS, cloud, on-prem, and machine-to-machine integrations. Reviewers see a name, a role, or a group membership, but not whether the permission is still needed, whether it is actively exercised, or whether it is chained into a broader privilege path.

The practical answer is to combine access review with evidence-driven entitlement governance. That means tying each access item to a clear owner, usage telemetry, business purpose, and expiry logic. Reviews become much more defensible when they are informed by last-used timestamps, authentication history, ticket context, and workload dependencies rather than static approval lists. For NHI-heavy environments, this should also include service account inventories, API key provenance, and machine identity lifecycle controls as described in NHIMG’s NHI Lifecycle Management Guide.

Practitioners also need to reduce the review burden itself. A common pattern is to prioritise high-risk access first: privileged roles, dormant identities, externally exposed credentials, and accounts tied to sensitive systems. NIST’s NIST SP 800-53 Rev 5 Security and Privacy Controls supports regular access authorization and review as part of broader accountability, while the OWASP NHI guidance reinforces that machine access needs lifecycle discipline, not just periodic sign-off. Where possible, automate revocation for clearly unused access and route only ambiguous or high-impact cases to human approvers.

One useful industry signal: in NHIMG’s coverage of the The State of Secrets in AppSec, organisations reported an average of 6 distinct secrets manager instances, showing how fragmented control surfaces can become when ownership and visibility are weak. These controls tend to break down when access is inherited through nested groups and shadow integrations because reviewers cannot reliably trace effective permissions end to end.

Common Variations and Edge Cases

Tighter review rules often increase operational overhead, requiring organisations to balance governance quality against reviewer fatigue and business disruption. There is no universal standard for this yet, so current guidance suggests treating review design as risk-based rather than uniform across every identity type.

Some environments can tolerate lightweight quarterly reviews for low-risk SaaS access, but privileged, third-party, and non-human access usually needs stronger evidence and more frequent validation. For example, service accounts tied to production systems may require owner attestation plus automated usage checks, while contractor access may need shorter review windows and mandatory expiry. Where the environment includes AI tools, code assistants, or automated agents, review logic should account for tool chaining and indirect privilege amplification, not just direct entitlement lists.

Edge cases also appear when identity ownership is unclear. A manager may be able to approve a person’s access, but no one may truly own a shared API token or automation account. In those cases, the right control is often not another review cycle but a lifecycle fix: assign ownership, move to 52 NHI Breaches Analysis-informed remediation priorities, and retire ambiguous identities. This is where the Microsoft SAS Key Breach and the JetBrains GitHub plugin token exposure matter operationally: weak review processes rarely fail in isolation, they fail after credentials, integrations, and permissions have already drifted beyond human visibility.

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 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-63 and NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-03Over-privileged machine access persists when NHI permissions are not reviewed and retired.
NIST CSF 2.0PR.AC-4Access permissions need periodic validation against least privilege and business need.
NIST SP 800-63Identity proofing and lifecycle confidence affect whether approvals can be trusted.
NIST AI RMFAI governance must account for dynamic, usage-based access decisions in agentic systems.
CSA MAESTROAgentic and cloud workload access needs lifecycle controls beyond periodic review.

Map every non-human account to an owner, usage signal, and expiry date before the next access review.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org