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09/06/2026 11:31 pm
TL;DR: Data and identity findings can now be surfaced in real time across hybrid environments with a rebuilt Access Analyzer that uses a container-based, API-first architecture with streaming ingestion, while also highlighting AI readiness, permission tracing, and activity monitoring, according to Netwrix. For IAM teams, the practical issue is not discovery alone but whether data, identity, and access signals can be operationalised fast enough to reduce exposure before review cycles lag behind reality.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should security teams use DSPM to improve identity governance?
A: Security teams should use DSPM to identify which identities can actually reach sensitive data, then feed those findings into access review, entitlement cleanup, and ownership assignment.
Q: Why does real-time visibility matter for data and identity risk?
A: Real-time visibility matters because static reports quickly become stale in hybrid environments where identities, permissions, and data locations change continuously.
Practitioner guidance
- Validate hybrid source coverage Test whether the platform can ingest from the data stores, identity systems, and cloud services that actually matter in your environment, then measure how quickly findings appear after a change.
- Map effective access to sensitive data Use permission tracing to identify which human, NHI, and workload identities can reach sensitive datasets, including access inherited through groups or delegated paths.
- Integrate findings into access review workflows Route high-risk exposure results into IAM, GRC, or case management processes so that data posture issues trigger ownership, review, and remediation rather than passive reporting.
What to expect at the briefing
Netwrix's full product deep dive covers the operational detail this post intentionally leaves for the source:
- Architecture walkthrough of the connector framework, API-first design, and horizontal scaling model used in the platform.
- Deployment and operations detail, including install flow, automated updates, health visibility, and centralized orchestration.
- Data coverage specifics across on-premises and cloud sources, including how different environments are connected.
- Adoption guidance for planning the transition to the new version without disrupting current operations.
👉 Read Netwrix's deep dive on Access Analyzer architecture and deployment →
Netwrix Access Analyzer deep dive: what changes for IAM teams?
Explore further
10/06/2026 1:52 am
Data visibility and identity visibility are converging into the same operational control plane. The old split between DSPM and IAM is increasingly artificial when sensitive data can be reached by service accounts, cloud workloads, and delegated access paths that outlive the original business context. Practitioners should treat data reachability as an identity governance problem, not just a classification problem.
A few things that frame the scale:
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to Ultimate Guide to NHIs.
- That same research shows only 5.7% of organisations have full visibility into their service accounts, which explains why discovery tools and identity governance often fail to converge in practice.
A question worth separating out:
Q: How can organisations reduce exposure before AI expands data use?
A: Organisations should tighten identity boundaries before AI adoption increases data consumption. That means reviewing over-permissioned access, validating which identities can reach sensitive stores, and cleaning up indirect access paths. If access is already too broad, AI will amplify the governance problem rather than solve it.
👉 Read our full editorial: Netwrix Access Analyzer reframes data and identity risk visibility
