Should organisations prioritise DSPM before IAM cleanup in hybrid environments?

Organisations should not treat DSPM and IAM cleanup as separate sequences. If data sensitivity is unknown, IAM teams cannot make sound entitlement decisions. If access paths are unknown, DSPM findings cannot be remediated effectively. The practical answer is to run both in parallel, starting with the highest-value datasets and the identities that can reach them.

Why This Matters for Security Teams

In hybrid environments, DSPM and IAM cleanup are tightly coupled because data context and access context change each other. If a team remediates permissions without knowing which datasets are sensitive, it can overcorrect and break operations. If it starts with data scanning but ignores who can reach the data, it leaves the highest-risk paths untouched. Current guidance suggests treating both as parallel workstreams, especially where NHI sprawl and shared service accounts obscure ownership. The NIST Cybersecurity Framework 2.0 reinforces this by tying asset visibility, access management, and risk response together rather than separating them into disconnected projects.

That coupling matters most for non-human identities because access often outlives the team that created it. NHIMG research shows 97% of NHIs carry excessive privileges and only 5.7% of organisations have full visibility into their service accounts, which means IAM cleanup usually starts from an incomplete map. At the same time, data exposure findings are often only useful when they can be traced back to the identities that touch the dataset. In practice, many security teams encounter the real blast radius only after a leak, not through a clean inventory exercise.

How It Works in Practice

The practical sequence is not “DSPM first” or “IAM first.” It is to identify the crown-jewel datasets, map the NHIs and humans that can reach them, then narrow both the data exposure and the entitlements around those paths. Start with the highest-risk repositories in cloud storage, data warehouses, code stores, and CI/CD systems, then correlate findings to service accounts, API keys, workload identities, and privileged roles. This is where NHI governance and DSPM reinforce each other: the data scan tells you what matters, and the identity review tells you what can be used against it.

For implementation, teams usually need three moves at once:

• Classify sensitive data and tag the systems that store or process it.
• Review identities with access to those systems, including indirect access through roles, groups, and automation.
• Reduce standing privilege and replace broad access with just enough access for each workflow.

NHIMG’s Azure Key Vault privilege escalation exposure research is a useful reminder that storage permissions can become an identity problem very quickly, because a mis-scoped vault role can expose secrets that unlock other systems. The same logic applies to secret sprawl outside vaults, which is why the NIST Cybersecurity Framework 2.0 emphasis on continuous monitoring and response is relevant here. If the organisation can see sensitive data but cannot identify the identities that can exfiltrate it, remediation stalls. If it can see the identities but cannot rank the data they touch, it wastes effort on low-value accounts. These controls tend to break down when hybrid estates split identity ownership across cloud, on-premises, and SaaS teams because no single team can see the full access path.

Common Variations and Edge Cases

Tighter access cleanup often increases operational overhead, requiring organisations to balance lower exposure against workflow disruption. That tradeoff is especially real in hybrid estates with shared platforms, legacy directory groups, and application owners who cannot easily explain every entitlement. In those environments, current guidance suggests prioritising by business criticality and data sensitivity rather than trying to fully cleanse all IAM before touching DSPM, because a complete inventory may never arrive quickly enough to reduce risk.

There are also cases where DSPM findings appear more urgent than IAM issues. For example, a newly exposed regulated dataset may justify immediate containment while the entitlement review catches up. The reverse is true when a small set of privileged NHIs can reach many repositories: access cleanup may produce faster risk reduction than scanning every data store. There is no universal standard for this yet, but the operational rule is consistent: remediate the intersection of sensitive data and high-reach identities first. The Azure Key Vault privilege escalation exposure case illustrates why this matters in practice, because a single privilege path can turn a local misconfiguration into enterprise-wide exposure.

Related resources from NHI Mgmt Group

• When should organisations prioritise Zero Standing Privilege for non-human identities?
• Should organisations prioritise SaaS cleanup before expanding access controls?
• Should organisations use connector-less deployment for on-prem DSPM where possible?
• Why do secrets create disproportionate risk in NHI environments?