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11/06/2026 10:49 pm
TL;DR: Gartner’s IAM Summit in Grapevine highlighted three pressures on identity teams: prove measurable business value, govern AI adoption through identity controls, and close visibility gaps with an identity visibility and intelligence platform, according to AuthMind. The strategic shift is clear: IAM now has to support board-level risk, operational efficiency, and safe AI scaling, not just access administration.
NHIMG editorial — based on content published by AuthMind: Gartner Identity & Access Management Summit recap and analysis
By the numbers:
- Only 5.7% of organisations have full visibility into their service accounts.
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
- 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.
Questions worth separating out
Q: How should IAM teams prove business value to executives?
A: Focus on measurable outcomes such as reduced standing privilege, fewer audit exceptions, faster application onboarding, and lower manual review effort.
Q: Why does AI adoption change IAM governance?
A: AI changes IAM governance because some AI systems can request access, use tools, and act at runtime, which makes identity a trust boundary rather than a passive record.
Q: What breaks when identity visibility is fragmented across tools?
A: Fragmented visibility prevents teams from seeing how privileges, relationships, and posture changes combine across human, workload, and non-human identities.
Practitioner guidance
- Rebuild identity reporting around outcomes Track risk reduction, audit readiness, onboarding speed, and manual review reduction instead of counting tools or tickets.
- Inventory identity telemetry gaps across tools Document where PAM, IGA, NHI, MFA, and access logs fail to connect.
- Separate AI-for-IAM from IAM-for-AI governance Treat analytics and automation use cases differently from AI systems that request, hold, or use access.
What's in the full article
AuthMind's full analysis covers the operational detail this post intentionally leaves for the source:
- The summit-specific framing Gartner used to justify identity visibility and intelligence as a category.
- The practical examples discussed for using AI inside IAM workflows such as access modelling and report generation.
- The session-level emphasis on linking identity controls to business KPIs and operational outcomes.
- The vendor’s own description of IVIP capabilities and how they were positioned across the agenda.
👉 Read AuthMind’s summit recap on IAM, AI adoption, and identity visibility →
Identity visibility and intelligence: what IAM teams need now?
Explore further
12/06/2026 7:12 am
Identity visibility is now the prerequisite for identity governance, not a reporting feature. The summit’s IVIP framing reflects a structural shift: identity programmes cannot govern what they cannot observe across tools, relationships, and behaviour. Siloed PAM, IGA, NHI, and access data may still satisfy local workflows, but it does not create a defensible control picture. Practitioners should treat visibility as the enabling layer for every other identity decision.
A few things that frame the scale:
- Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
- Only 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to NHI Mgmt Group research.
A question worth separating out:
Q: How can organisations evaluate an identity visibility and intelligence platform?
A: Assess whether the platform can correlate data across PAM, IGA, NHI, and access tools, not just ingest logs. The real test is whether it surfaces identity relationships, policy drift, and privilege anomalies fast enough to change decisions and improve control coverage.
👉 Read our full editorial: Identity visibility and AI adoption are reshaping IAM strategy
