When should organisations prioritise DSPM over another data security project?

Organisations should prioritise DSPM when they cannot reliably answer where sensitive data lives, who or what can access it, and how that access is being monitored. Those are foundational questions. If they remain unresolved, downstream compliance, zero trust, and incident response efforts will be built on incomplete evidence.

Why This Matters for Security Teams

DSPM becomes the right priority when security teams cannot answer a basic containment question: where the sensitive data is, which systems and identities can reach it, and whether that access is observable. Without that baseline, access reviews, encryption projects, and even Zero Trust rollouts tend to optimise around assumptions rather than evidence. NIST’s Cybersecurity Framework 2.0 places strong emphasis on identifying assets and protecting data because downstream controls depend on accurate data discovery.

NHI Management Group research shows why this matters operationally: in the Ultimate Guide to NHIs — Key Research and Survey Results, 96% of organisations store secrets outside secrets managers in vulnerable locations, and 80% of identity breaches involved compromised non-human identities such as service accounts and API keys. That is a data exposure problem as much as an identity problem, because the same secrets often unlock the most sensitive repositories, pipelines, and SaaS tenants. In practice, many security teams discover the scale of the exposure only after a breach, not through intentional data inventory.

How It Works in Practice

Prioritising DSPM means treating data discovery, classification, and access-path analysis as the first control layer, not a reporting exercise. A mature program should scan cloud storage, databases, SaaS applications, data pipelines, and code-adjacent repositories to map where regulated, confidential, and operational data actually resides. It should then correlate that data to human users, service accounts, workload identities, and third-party integrations so teams can see which identities can move data laterally or exfiltrate it.

In operational terms, DSPM usually helps security teams answer four questions:

• What sensitive data exists, and where is it located?
• Which identities, applications, and vendors can access it?
• Which exposures are accidental, over-permissioned, or stale?
• Which access paths are monitored and which are blind spots?

That visibility is especially valuable when secrets are embedded in code or CI/CD tooling, because traditional perimeter tooling will not reliably identify the blast radius. The Schneider Electric credentials breach illustrates how credential exposure can translate into broad data risk when access governance is incomplete. DSPM also supports NIST Cybersecurity Framework 2.0 outcomes by creating the evidence base needed for access control, monitoring, and incident scoping.

In most environments, DSPM should be prioritised before a narrower remediation project if the organisation lacks trustworthy data inventory, cannot trace access to sensitive stores, or has multiple cloud and SaaS platforms with inconsistent classification. These controls tend to break down when data is spread across unmanaged SaaS, developer tooling, and shadow cloud storage because discovery cannot keep pace with change.

Common Variations and Edge Cases

Tighter DSPM often increases operational overhead, so organisations have to balance discovery depth against the speed of other security work. That tradeoff is real: a full data-mapping programme can temporarily slow application teams, but skipping it can leave every later control working from incomplete labels and incomplete access paths.

Best practice is evolving for edge cases. If the organisation already has strong data cataloguing, data classification, and consistently enforced access boundaries, another project may deserve earlier priority, such as privileged access hardening or secrets rotation. But if those capabilities exist only for a subset of environments, current guidance suggests using DSPM to close the visibility gap first, then layering control improvements on top.

NHI Management Group research shows the scale of the hidden exposure: only 5.7% of organisations have full visibility into their service accounts, and 97% of NHIs carry excessive privileges. That means DSPM and identity work often need to be sequenced together, especially where service accounts, API keys, and third-party integrations all reach the same sensitive datasets. The most common exception is a narrowly scoped compliance deadline, where an organisation may prioritise a single control for audit evidence while DSPM continues in parallel.

Related resources from NHI Mgmt Group

• How should security teams prioritise NHI remediation in cloud environments?
• Should organisations prioritise external exposure or internal credential governance first?
• When should organisations prioritise NHI security over other identity work?
• Should organisations prioritise data awareness over manual tagging?