Because the same workload can be represented by multiple accounts and secrets across different systems, and each one may be governed separately or not at all. Fragmentation hides the full dependency chain, so a single exposed credential can lead to broader access than any one platform suggests. Correlation is what turns isolated identities into a governed scope.
Why This Matters for Security Teams
Fragmented NHI records are not just an inventory problem. They make it impossible to see when one workload identity is spread across multiple clouds, CI/CD systems, secret stores, and application stacks. That means a single exposed API key, service account, or certificate can quietly represent a much larger privilege set than any one console shows. NHI Management Group’s Ultimate Guide to NHIs notes that only 5.7% of organisations have full visibility into their service accounts, which is why blast radius is often underestimated until incident response begins.
This is where governance breaks down. If security teams cannot correlate records, they cannot apply consistent rotation, offboarding, or privilege review. NIST’s NIST Cybersecurity Framework 2.0 still depends on knowing what exists before it can be protected, and fragmented NHI inventories undermine that starting point. In practice, many security teams discover the scale of exposure only after a credential leak or lateral movement event has already expanded the incident scope.
How It Works in Practice
Blast radius grows when one workload is represented by multiple records that are not linked by ownership, purpose, or lifecycle state. A single automation may have an IAM role in one cloud, a token in a vault, an SSH key on a build host, and an API key embedded in a pipeline variable. If each record is reviewed separately, each may look low risk. Taken together, they can create overlapping paths to the same production data or admin function.
Effective reduction starts with correlation, not just cleanup. Teams need to group records by workload identity, then map each secret or account to its business function, environment, and trust boundary. The operational steps usually include:
- Normalise identifiers across cloud, vault, CI/CD, and application inventories.
- Link each secret to a named workload, owner, and expiry policy.
- Identify duplicated access paths that reach the same resource set.
- Revoke or rotate stale credentials that no longer match a live workload.
- Use runtime telemetry to confirm where the identity is actually used.
That approach aligns with guidance in the Ultimate Guide to NHIs — Key Challenges and Risks and the NIST CSF emphasis on asset awareness before protection is effective. It also matches what breach analyses show: once one record is exposed, the attacker often inherits every uncorrelated sibling credential that was created for convenience rather than governance. These controls tend to break down when identities are created ad hoc in CI/CD pipelines because ownership and expiry metadata are missing at the moment of issuance.
Common Variations and Edge Cases
Tighter correlation often increases operational overhead, requiring organisations to balance visibility against deployment speed. That tradeoff is real, especially in multi-cloud environments where different teams own different parts of the same automation chain. Current guidance suggests that the best starting point is not perfect centralisation, but reliable linkage between duplicate identities and a single accountable owner.
Some environments make fragmentation harder to avoid. Legacy apps may store secrets in code or local config files, which means the same NHI appears in vaults, repositories, and runtime configs at once. Shared service accounts can also blur scope when several jobs use the same credential for convenience. In those cases, the practical goal is to reduce the number of independent records that can survive a compromise, not just to reduce total secret count.
The 52 NHI Breaches Analysis and the Top 10 NHI Issues both reinforce the same pattern: when records are fragmented, revocation is slower, ownership is weaker, and one incident becomes many. The practical answer is to treat correlation as a control, not an optional reporting feature.
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 CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Fragmented records hide duplicate NHIs and weaken inventory control. |
| NIST CSF 2.0 | ID.AM-1 | Blast radius depends on knowing which identities and assets exist. |
| NIST AI RMF | GOVERN | Identity fragmentation is a governance and accountability failure for automated workloads. |
Maintain accurate NHI asset inventories so exposure can be traced before incidents spread.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
