Start by cataloging every identity type, including employees, contractors, partners, and service accounts, then map where those identities can reach across cloud and on premises systems. Focus first on sensitive applications such as finance, HR, and customer data platforms. Visibility is the foundation for removing orphaned accounts, dormant accounts, misconfigurations, and excessive access before they become breach paths.
Why IAM Cleanup Stalls When Visibility Is Fragmented
IAM hygiene usually fails less from missing policy than from missing inventory. When teams cannot see all identity types, their access paths, and the systems those identities can touch, cleanup becomes partial and reactive. Orphaned accounts, dormant service accounts, stale entitlements, and forgotten third-party connections remain because no one can prove what is safe to remove. That matters most where identities can reach finance, HR, production cloud, or customer data systems, because an unknown path is still a valid path.
Limited visibility also creates a false sense of control. Teams may believe they have reduced privilege because one directory looks clean, while access still exists through a second IdP, a legacy application, a cloud role, or an automated workflow credential. The 2024 ESG Report on non-human identities found that 72% of organisations have experienced or suspect a breach of non-human identities, which is a strong signal that unknown or weakly governed machine access is not a theoretical problem. In practice, many security teams discover the deepest access paths only after an incident forces a full account review.
How Visibility Changes the Cleanup Process
Effective IAM cleanup starts by treating identity discovery as a control dependency, not an administrative task. The first pass is to enumerate every identity class in scope, including workforce users, contractors, partners, service accounts, API clients, workload identities, and application-integrated accounts. The second pass is to map where each identity authenticates, what authorisation model governs it, and which business systems it can reach. Without both views, deprovisioning and entitlement reduction stay incomplete.
Teams should then separate identities by risk and governance value. High-value targets are identities with broad reach, privileged roles, non-expiring credentials, external ownership, or unclear business ownership. Those are the ones to review first because they create the greatest blast radius if left untouched. Low-confidence records, such as stale accounts with no recent authentication events, should still be validated before deletion, but they should not block the broader clean-up effort.
A practical cleanup cycle usually includes:
- Reconciling directory data, cloud IAM, SaaS admin consoles, and on premises directories into one working inventory.
- Tracing each identity to an owner, purpose, and authentication path.
- Reviewing standing privileges, dormant access, and over-broad group membership.
- Removing access that cannot be tied to an active business need.
- Setting rotation, expiration, and review requirements for machine and third-party credentials.
For machine access specifically, lifecycle control matters as much as visibility. NHIMG’s NHI Lifecycle Management Guide is useful here because cleanup is not only about finding identities, but also about knowing when they should be created, rotated, suspended, or retired. For broader control structure, the NIST SP 800-53 Rev 5 Security and Privacy Controls remains a useful reference for access review, account management, and auditability expectations.
The best results come when cleanup is paired with continuous discovery rather than one-off remediation. If teams only clean up after audits, they remove yesterday’s excess while tomorrow’s shadow access is already appearing in another system. These controls tend to break down when identity sources are fragmented across cloud, SaaS, and legacy environments because no single owner can confirm the full access path.
Common Failure Points in Partial IAM Hygiene Efforts
Tighter cleanup often increases operational friction, so organisations have to balance removal speed against service disruption and false positives. The most common mistake is to focus on human accounts first because they are easiest to understand, while service accounts, API keys, and vendor connections keep accumulating risk in the background.
Another common failure is to confuse existence with use. An account that still exists is not necessarily active, but an account with no recent logins is not automatically safe to delete either if it supports batch jobs, integrations, or delegated workflows. Current guidance suggests validating actual dependency before removal, especially where access is embedded in scripts, automation, or shared operational tools.
Visibility gaps also create governance blind spots. If third-party access is hidden behind OAuth apps, federated trust, or secondary directories, the cleanup effort may remove local records while leaving the effective access path intact. That is why teams should treat account cleanup, privilege cleanup, and trust-path cleanup as related but separate tasks. For NHI-heavy environments, the OWASP Non-Human Identity Top 10 is a good reminder that credential lifecycle, over-privilege, and weak visibility often combine into the same failure chain.
Practitioner Guidance
What to prioritise: Start with identities that combine uncertainty and reach. A stale account with admin rights, cross-environment access, or no clear owner is more urgent than a low-risk orphan with no effective permissions.
What to verify: Before removing any identity, verify its actual dependencies across batch jobs, CI/CD, federated apps, shared mailboxes, and vendor integrations. If a dependency cannot be confirmed, treat the identity as operationally live until proven otherwise.
Practitioner takeaway: IAM hygiene improves fastest when teams clean the access graph, not just the directory record. The goal is to make every identity attributable, bounded, and reviewable before it becomes an untraceable path into a sensitive system.
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 CIS Controls v8, NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CIS Controls v8 | 5 — Account Management | Directly governs inventory, review, and removal of stale or excessive accounts. |
| Recommendation — Inventory all identities and remove dormant or orphaned accounts on a defined review cycle. | ||
| NIST CSF 2.0 | PR.AC — Identity Management, Authentication and Access Control | Addresses identity proofing, access governance, and control of who can reach systems. |
| GV.RM — Risk Management Strategy | Fits the prioritisation of high-risk identities and sensitive systems during cleanup. | |
| Recommendation — Map identities to access paths and enforce least privilege across all environments. Prioritise remediation by business risk, blast radius, and ownership clarity. | ||
| NIST Zero Trust (SP 800-207) | SC-4 — Dynamic Policy Evaluation | Supports the need to validate access continuously instead of trusting stale standing access. |
| Recommendation — Evaluate access dynamically and revoke standing access that no longer has justification. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — NHI Inventory and Ownership | Applies when service accounts and machine identities are part of the visibility gap. |
| Recommendation — Build a complete inventory of machine identities and assign an accountable owner. | ||
Related resources from NHI Mgmt Group
- How should security teams establish access governance when they cannot see both on-premises and cloud identities clearly?
- How should security teams run access reviews for non-human identities?
- How should security teams govern non-human identities that have persistent access?
- How should security teams implement risk-based access governance for ERP environments with many applications and approval paths?
