TL;DR: PlainID says Gartner’s 2026 Innovation Insight on IVIP and IAM augmentation vendors finds that identity visibility tools can expose hidden account, role, group and entitlement relationships, while continuous visibility across human, machine and agent identities is becoming more important as enterprises adopt agentic AI. Static roles and legacy IGA cannot keep pace with runtime authorization needs, blind spots, or standing privilege risk.
Editorial analysis by NHI Mgmt Group, based on content published by PlainID: “PlainID Mentioned in the 2026 Gartner® Innovation Insight Report on IVIP and IAM Augmentation Vendors Disrupting Light IGA”.
By the numbers:
- Organizations that leverage IVIP capabilities will achieve up to 60% greater efficiency, visibility, compliance and governance compared to what was previously possible with traditional light IGA offerings.
Key questions
Q: What breaks when light IGA cannot see identity relationships clearly?
A: When light IGA cannot reconstruct relationships between identities, accounts, roles, groups, and entitlements, governance teams lose the context needed to explain why access exists.
Q: Why do dynamic runtime decisions matter more than static roles for modern identity governance?
A: Static roles describe intended access, but runtime decisions determine what an identity can actually do in the moment.
Q: How do you know if your identity governance model is keeping up with AI agents?
A: You know it is keeping up when it can explain each agent’s authority, delegation path, and review state in real time.
Practitioner guidance
- Map the identity relationship graph Inventory how accounts, roles, groups, entitlements, and policies connect across cloud, on-premises, and SaaS environments so hidden access paths are visible.
- Separate certification from enforcement Keep periodic access review as a governance checkpoint, but move high-risk decisions to runtime policy evaluation so static approvals do not define live access.
- Classify identities by actor type Group humans, workloads, and AI agents separately in governance design so each can be audited and authorised according to its own behaviour and lifecycle.
Bottom line: Light IGA is increasingly too coarse for hybrid identity estates that include humans, workloads, and AI agents.
What's in the full analysis
PlainID's full article covers the operational detail this post intentionally leaves for the source:
- The vendor’s own explanation of its runtime authorization model and how it decouples policy management from application code.
- A plain-language walkthrough of the visibility and auditability capabilities the article says are needed for human, machine, and agent identities.
- The specific Gartner wording PlainID cites about IVIP, IAM augmentation, and the 60% improvement claim.
- The product-oriented description of how dynamic policy enforcement is positioned for multi-cloud and AI-era environments.
👉 Read PlainID’s analysis of IVIP visibility and light IGA →
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IVIP is becoming the missing visibility layer between light IGA and runtime authorization: traditional governance tools were designed to certify access after the fact, not to explain complex entitlement relationships in motion. Once identities span cloud, SaaS, on-premises, and AI-driven workflows, the useful unit of control is the relationship graph, not the role list. Practitioners should treat visibility depth as a structural control requirement, not an optional analytics layer.
A question worth separating out:
Q: How should teams balance access reviews with continuous authorization controls?
A: Use access reviews to validate ownership, entitlement scope, and lifecycle hygiene, then rely on continuous authorization to enforce what is allowed at request time. The two controls serve different purposes, and neither replaces the other in complex estates.
👉 Read our full editorial: IVIP visibility is reshaping light IGA and runtime authorization