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07/06/2026 8:55 pm
TL;DR: 83% of organisations believe poor data visibility weakens security posture and 87% say discovery and classification tools are inadequate, according to Cyera research, showing why DSPM rollouts often stall on execution, integration, and adoption rather than technology alone. The real test is whether teams can operationalise data visibility, ownership, and governance at scale.
NHIMG editorial — based on content published by Cyera: Common DSPM Implementation Challenges and how to overcome them
By the numbers:
- 83% of organizations believe poor visibility into their data weakens security posture.
- 87% say their existing discovery and classification tools are inadequate.
Questions worth separating out
Q: How should security teams implement DSPM without overwhelming operations?
A: Start with high-value data sources, verify discovery quality against known repositories, and phase rollout only after classification signals are stable.
Q: Why do DSPM programmes fail even when the tooling is capable?
A: They fail when organisations treat DSPM as a technology purchase instead of a governance programme.
Q: What do security teams get wrong about data classification in DSPM?
A: Teams often assume classification is a one-time task, but it is a continuous judgement problem shaped by context, business unit, and data movement.
Practitioner guidance
- Map data ownership before expanding coverage Define who owns each sensitive dataset, who can approve classification exceptions, and who closes remediation tickets.
- Test discovery against known data repositories Sample cloud storage, collaboration platforms, legacy systems, and personal-drive risk areas to measure what the DSPM platform actually sees.
- Tune classification rules to reduce alert fatigue Review false positives and context-sensitive labels with data owners so the system does not train analysts to ignore alerts.
What's in the full article
Cyera's full article covers the operational detail this post intentionally leaves for the source:
- A fuller breakdown of how teams can sequence DSPM rollout across discovery, classification, integration, and governance
- Implementation guidance for handling false positives, alert fatigue, and performance impact during continuous scanning
- Practical advice on aligning security, compliance, and business teams around data ownership and adoption
- Additional discussion of AI-specific data security challenges, including training data and generative AI leakage
👉 Read Cyera's analysis of common DSPM implementation challenges →
DSPM implementation challenges: where rollouts break down?
Explore further
08/06/2026 8:39 am
DSPM failures are usually governance failures disguised as tooling problems. Cyera’s article shows that visibility, classification, and integration issues are not isolated technical defects. They are symptoms of unclear ownership, weak operating models, and incomplete data inventory discipline. When teams cannot say who owns a dataset or how it should be classified, the deployment stalls before policy can work. The practitioner conclusion is that DSPM succeeds only when accountability is explicit.
A few things that frame the scale:
- Two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks, according to The 2024 ESG Report: Managing Non-Human Identities.
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, including 46% confirmed and 26% suspected.
A question worth separating out:
Q: How do organisations know if DSPM is actually working?
A: Look for three signals: fewer visibility gaps, lower false-positive volume, and faster audit evidence collection. If teams still need manual reconciliation to explain where sensitive data lives and who can access it, the programme is not yet delivering durable control. Measurement should reflect operational confidence, not dashboard coverage alone.
👉 Read our full editorial: DSPM implementation gaps expose why data security rollouts stall
