DSPM visibility gaps in 2025: what IAM teams need to act on

TL;DR: As organisations spread sensitive data across 100+ cloud services and SaaS applications, DSPM best practices have become the practical response to visibility gaps, compliance pressure, and breach exposure, according to Cyera research. The issue is less about discovering data than governing where it lives, who can reach it, and how quickly exposure can be reduced.

NHIMG editorial — based on content published by Cyera: DSPM Best Practices (2025 Guide): Essential Strategies for Effective Data Security Posture Management

By the numbers:

• Organizations now manage sensitive data across 100+ cloud services and SaaS applications, making it difficult to track where data lives and how it’s used.
• In 2025, data breaches cost companies an average of $4.4M globally.

Questions worth separating out

Q: How should security teams implement DSPM across multi-cloud and SaaS environments?

A: Start with API-based discovery across the platforms that hold regulated or business-critical data, then layer classification, access context, and monitoring on top.

Q: Why do data sprawl and DSPM matter for IAM teams?

A: Because data access is an identity problem once data is distributed across many services.

Q: What do organisations get wrong about automated data classification?

A: They often treat automated labelling as if it were a finished control rather than a confidence-based signal.

Practitioner guidance

• Map sensitive data to identity pathways Build an inventory that shows which datasets are reachable by human users, service accounts, workload identities, and AI-driven workflows.
• Set coverage thresholds for priority data domains Define minimum discovery and classification coverage for regulated and high-value datasets, then track progress by business domain rather than only by platform.
• Correlate DSPM alerts with IAM and PAM events Feed DSPM findings into IAM and privileged access processes so unusual access can be evaluated against entitlement changes, service account use, and elevation events.

What's in the full article

Cyera's full guide covers the operational detail this post intentionally leaves for the source:

• Step-by-step guidance for building a scalable data inventory across cloud, SaaS, and hybrid systems.
• Implementation detail on using APIs, SIEM, and SOAR to connect DSPM findings into existing security workflows.
• Industry-specific compliance handling for financial services, healthcare, and SaaS environments.
• Practical examples of AI-driven discovery, anomaly detection, and data masking workflows.

👉 Read Cyera's DSPM best practices guide for cloud and AI data security →

DSPM visibility gaps in 2025: what IAM teams need to act on?

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