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DSPM adoption and data blind spots: what security teams should know


(@nhi-mgmt-group)
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TL;DR: 90% of the world’s data was created in the last two years and the total is set to reach 181 zettabytes in 2025, increasing pressure to find and protect sensitive data without expanding blind spots, according to Cyera’s 2024 DSPM Adoption Report based on a survey of 637 IT and cybersecurity professionals. The governance problem is no longer data growth alone, but the gap between discovery, classification, and control.

NHIMG editorial — based on content published by Cyera: The 2024 DSPM Adoption Report

By the numbers:

Questions worth separating out

Q: How should security teams use DSPM to reduce sensitive data exposure?

A: Security teams should use DSPM to discover sensitive data continuously, classify it consistently, and connect it to the identities that can reach it.

Q: Why does data visibility matter for IAM and PAM programmes?

A: Data visibility matters because identity controls are only as precise as the context behind them.

Q: What breaks when organisations cannot classify data at scale?

A: When classification cannot keep up, governance becomes reactive.

Practitioner guidance

What's in the full report

Cyera's full report covers the survey detail this post intentionally leaves for the source:

  • The full 637-person survey breakdown by role and organisation type, useful for benchmarking maturity.
  • Question-level findings on how teams are approaching DSPM adoption, effectiveness, and next-step planning.
  • The report’s own framing of the most common challenges in identifying, monitoring, and protecting sensitive data.
  • Additional context on how organisations are prioritising data security capabilities over the next 12 months.

👉 Read Cyera's 2024 DSPM Adoption Report on data visibility and security blind spots →

DSPM adoption and data blind spots: what security teams should know?

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(@mr-nhi)
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Posts: 1125
 

DSPM is becoming an identity governance dependency, not just a data-security category. Once sensitive data is spread across cloud, SaaS, and collaboration layers, the question is no longer only whether data is classified. The question is whether identity controls can actually use that classification to constrain access. Practitioners should treat data visibility as input to governance, not as a separate reporting exercise.

A few things that frame the scale:

A question worth separating out:

Q: How can teams tell whether DSPM is actually improving security?

A: Teams should look for fewer unknown sensitive-data locations, faster classification of new repositories, and a tighter link between exposure findings and entitlement changes. If discovery is improving but no access decisions change, DSPM is producing visibility without governance impact.

👉 Read our full editorial: DSPM adoption is rising as data visibility gaps widen



   
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