How should security teams centralise identity data for IAM maturity?

Why This Matters for Security Teams

Centralising identity data is not just a reporting exercise. Security teams need one governance view to understand who and what can act, where those permissions came from, and whether they are still justified. That matters for users, service accounts, API keys, certificates, and other secrets that often span HR, IAM, cloud, DevOps, and application systems. NIST’s Cybersecurity Framework 2.0 emphasises governance and identity as connected control areas, not separate tasks.

The practical problem is fragmentation. If one system holds authoritative user status, another owns cloud entitlements, and a third tracks workload identities, teams cannot reliably answer basic questions about deprovisioning, access recertification, or privileged access drift. NHIMG research shows the scale of the gap: only 5.7% of organisations have full visibility into their service accounts, and 88.5% say their non-human IAM practices lag behind or merely match human IAM efforts in maturity. That is why centralisation is often the difference between policy and actual control, as explained in the Ultimate Guide to NHIs.

In practice, many security teams discover identity sprawl only after access reviews fail to reconcile across environments or an incident exposes stale entitlements that no one system could see end to end.

How It Works in Practice

Effective centralisation starts by naming authoritative sources for each identity class. For human identities, that may be HR and enterprise directory systems. For machine and workload identities, it may be cloud IAM, CI/CD platforms, secrets managers, certificate authorities, or service mesh identity providers. The goal is not to force every record into one tool, but to create one governance layer that normalises the data and preserves source-of-truth lineage.

That governance layer should support a small set of repeatable workflows:

• Ingest identities and entitlements from each authoritative source on a defined schedule or event trigger.
• Map identities to owners, systems, environments, and business justification.
• Detect duplicates, stale accounts, orphaned secrets, and conflicting entitlement records.
• Use the same dataset for provisioning, deprovisioning, certification, and exception review.
• Track evidence of revocation, not just a request to revoke.

For NHI and workload identity governance, this is especially important because access is often embedded in code, pipelines, ephemeral jobs, and runtime orchestration. The Ultimate Guide to NHIs — Key Research and Survey Results shows that 96% of organisations store secrets outside secrets managers in vulnerable locations, which means central visibility must include repositories, CI/CD systems, and runtime issuance points, not just directory entries. Current best practice is evolving toward policy-as-code and unified inventory models that are evaluated continuously, rather than periodic spreadsheet-based reviews.

Where possible, teams should pair central governance with strong workload identity primitives such as OIDC-based federation, SPIFFE identifiers, or equivalent cryptographic identity proofs. That lets the central view represent not only account objects but also the relationships between an actor, its runtime, and its permitted actions. These controls tend to break down when organisations treat secrets sprawl as a documentation problem instead of an enforcement problem, because stale credentials continue to work even after the inventory is corrected.

Common Variations and Edge Cases

Tighter centralisation often increases integration and ownership overhead, requiring organisations to balance a cleaner governance model against legacy-system constraints. There is no universal standard for exactly how much identity data must be centralised before maturity is considered adequate.

Some environments cannot fully centralise immediately. Mergers, regulated subsidiaries, air-gapped systems, and third-party managed platforms may keep local identity stores for operational reasons. In those cases, the right approach is federated governance: central policy, consistent data schema, and enforced reconciliation rules, even when records remain distributed. That distinction matters because central reporting without reconciliation still leaves hidden privilege paths intact.

For non-human identities, the maturity bar is higher. The Top 10 NHI Issues and 52 NHI Breaches Analysis both reinforce the same operational reality: if secrets, service accounts, and cloud entitlements are not reconciled together, security teams cannot confidently answer who can act, for how long, and under what business approval. In practice, the hardest edge case is not a missing record but conflicting records across platforms, because that is where revocation, review, and accountability fail at the same time.

Related resources from NHI Mgmt Group

• How should security teams handle fragmented identity data across multiple IAM tools?
• How should teams connect identity maturity to data security posture?
• How should security teams reduce identity data fragmentation across IAM systems?
• How should security teams govern autonomous identity actions without losing auditability?