Identity governance in 2025: what Gartner’s IGA guide signals

At a glance

What this is: Gartner’s 2025 IGA Market Guide argues that modern identity governance is being reshaped by automation, AI-driven policy enforcement, and unified governance.

Why it matters: It matters because IAM teams must align human access, NHI oversight, and emerging autonomous governance patterns within one operating model.

👉 Read Pathlock's Gartner Market Guide for Identity Governance and Administration

Context

Identity governance and administration is the control layer that decides who or what should have access, when that access should be reviewed, and how exceptions are handled. As identity environments expand across employees, service accounts, API keys, and AI-enabled workflows, the old model of periodic review alone is no longer enough to describe real control.

Gartner’s 2025 market guide points to a broader shift in IGA: more automation, more policy enforcement, and more pressure to unify access control with compliance and risk management. For identity teams, the practical question is not whether governance exists, but whether it can keep up with the pace and shape of modern identities.

For teams building out NHI oversight, the most relevant baseline remains the Ultimate Guide to NHIs, especially where lifecycle, visibility, and offboarding controls intersect with wider governance design.

Key questions

Q: How should IAM teams evaluate modern IGA platforms?

A: IAM teams should evaluate IGA platforms on governance coverage, evidence quality, and how well they handle different identity types. The key test is whether the platform can support consistent decisions across human access, machine identities, and delegated workflows without creating separate control models for each one.

Q: Why do identity governance programmes struggle as access estates expand?

A: They struggle because governance rules were often designed for slower, more stable identity populations. As access estates expand across cloud services, service accounts, and automation, entitlement change becomes faster than review cycles, and manual certification no longer captures the full risk picture.

Q: How can organisations unify access control and compliance reporting?

A: Organisations can unify them by using one entitlement model, one evidence standard, and one lifecycle process for approvals, reviews, and removals. That prevents compliance from becoming a retrospective reporting exercise detached from how access is actually managed.

Q: What should security teams do when IGA must cover NHIs as well as people?

A: Security teams should extend governance to non-human identities by including ownership, lifecycle, and revocation controls in the same programme used for human users. If NHIs are excluded, the organisation will keep a blind spot in access certification and offboarding.

Technical breakdown

Automation in IGA is changing the governance control plane

Automation in IGA is not just about reducing manual work. It changes how entitlements are assigned, reviewed, revoked, and evidenced across the identity lifecycle. In a modern programme, automation can enforce policy at scale, but it can also hide weak process design if the underlying rules are incomplete or outdated. The governance challenge is therefore less about speed and more about whether policy, inventory, and exception handling remain accurate as environments change.

Practical implication: map each automated governance step to a named control owner and an auditable decision point.

AI-driven policy enforcement raises the bar for identity decisions

AI-driven policy enforcement means governance logic is increasingly informed by pattern recognition, context, and risk scoring rather than fixed human review alone. That can improve consistency, but it also creates dependency on the quality of identity data, role design, and exception management. In IGA terms, the main failure mode is not AI itself, but policy drift caused by stale input and poorly bounded decision logic. This is especially relevant when access spans human users, service identities, and delegated workflows.

Practical implication: test policy decisions against representative human and non-human access scenarios before extending them broadly.

Unified governance only works when access, compliance, and risk are connected

Unified governance is a design goal, not a state you reach by consolidating tools. It requires shared evidence, consistent entitlement semantics, and lifecycle processes that cover onboarding, change, review, and revocation across identity types. Without that, access control and compliance reporting diverge, and risk decisions become reactive. Gartner’s framing reflects a market where organisations increasingly need one governance model that can survive scale, audit pressure, and mixed identity populations.

Practical implication: define one governance model for human identities, NHIs, and delegated access paths, then align evidence collection to it.

NHI Mgmt Group analysis

IGA is no longer just a human access review programme. The guide reflects a market shift in which identity governance must span people, service accounts, and increasingly AI-mediated access paths. That matters because review cadence alone does not solve entitlement sprawl, and it never fully captured machine identities in the first place. Practitioners should treat IGA as a cross-identity control system, not a compliance checklist.

Automation changes the shape of governance more than the volume of work. Once approvals, recertification, and policy enforcement are automated, the real risk moves to model quality, exception design, and evidence integrity. A fast workflow built on weak identity data simply produces faster mistakes. The practical conclusion is that governance maturity now depends on the quality of the control logic, not just the presence of a workflow.

Unified governance is becoming the category boundary for modern identity programmes. Point solutions can still solve discrete problems, but they cannot by themselves connect access control, compliance, and risk management across mixed identity estates. That makes the market direction clear: teams need a governance operating model that spans human IAM, NHI oversight, and lifecycle controls in one framework. Practitioners should evaluate IGA on cross-domain coherence, not feature density.

Representative-vendor positioning shows how market leaders are being defined. Pathlock’s inclusion signals that buyers are evaluating vendors not only on access administration, but on how well they support broader governance outcomes. That is a useful market signal because the selection criteria are moving toward evidence, policy consistency, and lifecycle coverage. Practitioners should re-check whether their current IGA stack can support that broader mandate.

From our research:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, which means most governance programmes are operating with incomplete identity inventory.
• That visibility gap is why teams should start with Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs before layering more policy automation on top.

What this signals

Identity governance is moving toward a cross-actor operating model. The IGA market is increasingly defined by whether a platform can govern humans, NHIs, and delegated access with one evidence chain. In practical terms, that means identity teams should stop treating machine identity as a separate programme and start testing whether the same lifecycle logic can govern all access paths consistently.

With 97% of NHIs carrying excessive privileges, the governance problem is no longer limited to employee access reviews. The programme signal is clear: if entitlement models and certification evidence do not extend cleanly into service accounts and automation, the organisation will keep missing the highest-risk access paths.

Policy automation needs a stronger control boundary. As IGA becomes more automated, teams should watch for policy drift, stale ownership data, and weak exception handling. That is where the next generation of identity failures will accumulate, especially where review cadence is faster than operational change.

For practitioners

• Re-map identity governance by actor type Separate governance requirements for human users, service accounts, API keys, and AI-mediated access so reviews, evidence, and offboarding are not treated as one generic workflow.
• Audit automation for control quality, not just efficiency Check whether automated approval, certification, and revocation steps are based on current entitlement data, current owners, and current exception logic.
• Define one evidence model across governance and compliance Standardise how access decisions, recertifications, and exceptions are recorded so audit output can be reused across IAM, IGA, and risk reporting.
• Test IGA policies against NHI lifecycle scenarios Run scenarios for offboarding, rotation, and delegated access to see whether the governance process still works when the identity is not a person.

Key takeaways

• Modern IGA is being pulled beyond employee access review into a broader control model for humans, NHIs, and automated workflows.
• The scale of NHI privilege exposure means governance programmes that ignore machine identities are structurally incomplete.
• Identity teams should judge IGA by its evidence quality, policy consistency, and lifecycle coverage rather than by workflow automation alone.

Key terms

• Identity Governance And Administration: Identity governance and administration is the control function that assigns, reviews, and revokes access across an organisation. It combines policy, evidence, and lifecycle management so security and compliance teams can prove who or what should have access, and remove it when that access is no longer justified.
• Non-Human Identity: A non-human identity is any machine-based or software-based credentialed actor, including service accounts, tokens, API keys, certificates, and workload identities. These identities often persist longer than human sessions and can carry broad privileges, which makes lifecycle, ownership, and revocation critical controls.
• Access Recertification: Access recertification is the process of revalidating whether an identity still needs its current permissions. In mature programmes it is evidence-driven and role-aware, but if it is based on stale data or slow review cycles, it can miss high-risk changes in access before they become incidents.
• Unified Governance: Unified governance is a design approach that brings access control, compliance evidence, and risk oversight into one operating model. It is not a tool feature by itself. The goal is to keep decisions, exceptions, and lifecycle events consistent across different identity types and control domains.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or governance in your organisation, it is worth exploring.

This post draws on content published by Pathlock: Gartner Market Guide for Identity Governance and Administration. Read the original.