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24/06/2026 8:58 pm
TL;DR: Modern data security platforms now depend on data discovery, real-time risk management, and tight integration with IAM, PAM, DLP, CSPM, and SIEM, according to Netwrix. The key shift is that data protection strategy is no longer separable from identity governance, because access scope and exposure control determine whether sensitive data stays contained.
NHIMG editorial — based on content published by Netwrix: Choosing the Right Data Security Platform
By the numbers:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities , 46% confirmed, 26% suspected.
Questions worth separating out
Q: How should security teams evaluate a data security platform against identity risk?
A: They should test whether the platform can join sensitive-data findings to identity context, including account type, privilege level, and recent access activity.
Q: Why do IAM and PAM integrations matter in DSPM programmes?
A: IAM and PAM integrations matter because data exposure becomes harder to contain when access is persistent, excessive, or poorly governed.
Q: What do teams get wrong when they treat data discovery as enough?
A: They assume visibility is the same as control.
Practitioner guidance
- Require identity correlation for every sensitive-data alert Verify that the platform can join data findings with IAM and PAM context, including account type, privilege level, and access history.
- Test over-privilege detection before procurement Use a proof of concept to find dormant access, shared accounts, and excessive permissions across cloud and on-premises repositories.
- Validate response handoffs into SIEM and DLP Confirm that alerts retain classification, access path, and identity details when they move into monitoring and enforcement workflows.
What's in the full article
Netwrix's full blog covers the operational detail this post intentionally leaves for the source:
- Step-by-step feature guidance for comparing discovery, monitoring, and access-governance capabilities across tool options
- Practical deployment considerations for integrating DSPM with IAM, PAM, DLP, CSPM, and SIEM stacks
- Platform-selection criteria for cloud, hybrid, and on-premises environments that need consistent control enforcement
- Vendor-specific examples of how Netwrix positions its own integrations and workflows for data protection
👉 Read Netwrix's guide to choosing the right data security platform →
Data security platforms and identity governance: what teams must check?
Explore further
25/06/2026 5:53 am
Identity context is now a prerequisite for effective data security. A data security platform that cannot correlate data exposure with who or what can reach that data is only producing partial visibility. Discovery and classification are necessary, but they are not sufficient when entitlements and standing privilege determine whether exposure becomes loss. Practitioners should treat identity context as part of the control plane, not a separate discipline.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities.
A question worth separating out:
Q: How do organisations know if a data security platform is actually reducing risk?
A: They should look for fewer over-privileged accounts, faster identification of exposed datasets, and higher-quality alerts that include identity and classification context. If the platform cannot change access decisions or shorten time to containment, it is mostly improving observability. Risk reduction appears when identity-aware controls shrink the number of paths to sensitive data.
👉 Read our full editorial: Choosing a data security platform now means governing identity
