IGA in 2026: Why non-human identity governance is now central

At a glance

What this is: This analyst-led post argues that IGA has moved from compliance administration to broader identity governance, with non-human identities now a central part of the governance problem.

Why it matters: IAM, IGA, and PAM teams need to treat service accounts, bots, and AI agents as governed identities or they will keep missing excess access, orphaned accounts, and review noise.

By the numbers:

• Service accounts, bots, and AI agents now outnumber human users in many enterprise environments, sometimes by a factor of 25 to 50.

👉 Read Nexis' analysis of the KuppingerCole 2026 IGA Leadership Compass

Context

Identity governance has become a practical control plane for reducing excess access, not just a compliance checkpoint. The problem is that many programmes still focus on human users first, even though service accounts, bots, and AI agents now generate a parallel governance burden across access reviews, role quality, and entitlement sprawl.

That gap matters because governance breaks down when identities are created quickly and never revisited. In that condition, organisations inherit orphaned accounts, SoD conflicts, and noisy certification cycles that do little to improve actual access risk.

Key questions

Q: How should teams govern service accounts and AI agents in the same IGA programme?

A: Use a single governance model for ownership, review, and offboarding, but apply it to different identity lifecycles. Service accounts need clear technical owners and expiry rules, while AI agents also need controls for delegated scope and runtime behaviour. The goal is one inventory and one policy spine, not separate shadow processes.

Q: Why do access reviews often fail to reduce real identity risk?

A: They fail when they measure completion instead of decision quality. If reviewers are flooded with low-signal entitlements, they approve by habit and the programme becomes administrative churn. Access intelligence should narrow the set of decisions to the entitlements, anomalies, and role conflicts that materially change risk.

Q: What breaks when non-human identities are governed only through employee-centric workflows?

A: Ownership becomes unclear, offboarding gets missed, and entitlement reviews lose context. That is especially dangerous for service accounts and API keys because their access often outlives the project, system, or human team that created them. Governance has to follow the identity, not the employment record.

Q: How do organisations know whether their IGA programme is actually working?

A: Look for fewer orphaned accounts, fewer unresolved SoD conflicts, and a lower rate of redundant approvals in certification campaigns. If the programme is healthy, access reviews should produce cleaner entitlement data and fewer exceptions over time, not just higher completion percentages.

Technical breakdown

Access intelligence in IGA: why review quality matters more than volume

Access intelligence is the part of IGA that tries to reduce reviewer fatigue by prioritising the entitlements most likely to matter. That includes anomaly detection, entitlement recommendations, and risk-aware certification rather than blanket review campaigns that create approval noise. The technical shift is from static recertification to decision support informed by access patterns, lineage, and risk signals. In practice, this does not replace governance judgment. It changes the workflow so reviewers focus on outliers, high-risk access, and changes that need business context, rather than re-approving broad sets of entitlements that have already been normalised.

Practical implication: tune certification workflows to surface high-risk access first, otherwise reviewers will keep rubber-stamping the same low-value decisions.

Non-human identity governance for service accounts, bots, and AI agents

Non-human identities are not a separate governance niche. They are identities with different lifecycle characteristics, ownership patterns, and control gaps. Service accounts and API keys often lack a clear business owner, while bots and AI agents can span applications, pipelines, and delegated workflows. The challenge is not only visibility. It is whether the governance model can connect entitlement, ownership, and offboarding consistently across identities that are not tied to a human employee record. A programme that governs humans well but cannot track NHI purpose, usage, and expiry is only partially governing identity.

Practical implication: extend ownership, review, and offboarding controls to every non-human identity type, not just employee accounts.

Identity lifecycle and deployment flexibility across on-premises, SaaS, and hybrid estates

The market’s move toward deployment flexibility reflects a simple reality: governance controls must fit the estate that actually exists. In regulated environments, identity lifecycle processes often span legacy systems, SaaS platforms, and containerised workloads, each with different integration and data handling constraints. The technical issue is not deployment preference. It is whether identity governance can keep one lifecycle model coherent across different target systems, request flows, and review mechanisms. Without that consistency, organisations end up with fragmented governance by platform rather than a single policy model.

Practical implication: test whether lifecycle workflows remain coherent across legacy and cloud systems before assuming a SaaS-first governance model will fit.

NHI Mgmt Group analysis

IGA is now an identity control layer, not a back-office reporting function. The article correctly places governance at the intersection of security, compliance, and operational efficiency. That shift matters because identity programmes are increasingly judged by whether they can reduce excess access and lifecycle risk, not by how many certifications they can complete. For practitioners, the real question is whether governance decisions change access outcomes.

Non-human identity governance is the market’s unresolved blind spot. Service accounts, bots, and AI agents do not fit neatly into employee-centric review processes, yet they now sit inside the same entitlement graph. When governance remains human-first, ownership, review cadence, and offboarding logic stop matching the actual identity population. Practitioners should treat NHI coverage as a baseline requirement, not an optional add-on.

Access intelligence is becoming the difference between governance and administrative churn. Periodic certification at enterprise scale creates too much noise to be useful unless the system can prioritise what matters. That makes access intelligence, including anomaly detection and risk-aware recommendations, a practical control issue rather than a feature checklist. Teams should evaluate whether their review model produces decisions or just workflow volume.

Identity governance only works when lifecycle controls survive platform diversity. Regulated enterprises cannot assume one deployment pattern, one integration model, or one review mechanism. The market is signalling that IGA tools must operate across on-premises, containerised, and SaaS environments without breaking the governance model. Practitioners should test for cross-environment consistency before treating deployment flexibility as solved.

From our research:

• From our research: Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
• 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to Ultimate Guide to NHIs.
• For the broader control model, see NHI Lifecycle Management Guide for lifecycle, rotation, and offboarding patterns that make governance operational.

What this signals

Identity governance will be measured less by review completion and more by whether the programme can actually reduce excess access across humans and NHIs. As identity estates get more complex, the governance stack has to collapse noise, surface ownership, and keep lifecycle records current. The practical test is whether business owners can act on the output without reinterpreting the data first.

Access intelligence will matter most where review volume and identity diversity intersect. With 79% of organisations having experienced secrets leaks, the pressure is no longer only about keeping up with access requests, but about catching the entitlements and credentials that create avoidable exposure. The next maturity step is to connect review workflows to identity quality rather than to review throughput.

Organisations that want durable governance should prepare for a model where human and non-human identities are reviewed through one policy spine but operationalised through different lifecycle rules. That is where identity programmes stop being reactive administration and start becoming a control system.

For practitioners

• Extend governance to non-human identities Inventory service accounts, bots, API keys, and AI-agent-linked credentials in the same governance register as employee identities. Assign named ownership, review cadence, and offboarding responsibility so they do not sit outside lifecycle control.
• Reduce certification noise with access intelligence Prioritise risky entitlements, abnormal access patterns, and duplicate roles in certification workflows so reviewers see decisions that need judgment. Keep low-risk, repetitive access out of the main review path where possible.
• Validate lifecycle consistency across platforms Test joiner, mover, and leaver workflows across legacy applications, SaaS tools, and container environments to confirm that approvals, revocation, and record updates behave consistently. Fragmented enforcement usually shows up first as orphaned access.
• Map entitlement sprawl to business ownership Translate raw entitlement data into business-readable views so application owners can validate access decisions without parsing technical logs. If business owners cannot understand the review, the governance model will not scale.

Key takeaways

• IGA is shifting from certificate counting to control quality, and the organisations that cannot prioritise risky access will keep generating noise instead of governance.
• Non-human identities are now part of the main governance problem, not an edge case, because they expand the entitlement graph and complicate ownership and offboarding.
• Programmes that want better outcomes should connect access intelligence, lifecycle consistency, and business-readable ownership so reviewers can make decisions that change risk.

Key terms

• Identity governance and administration: Identity governance and administration is the discipline of defining, approving, reviewing, and revoking access across an enterprise. It connects business ownership, entitlement control, and lifecycle management so organisations can reduce excess access and prove who has permission to do what.
• Access intelligence: Access intelligence is the use of risk signals, usage patterns, and anomaly detection to focus governance work on the entitlements that matter most. In practice, it helps reviewers avoid broad, low-value certification campaigns and instead concentrate on access that is unusual, sensitive, or likely to be excessive.
• Non-human identity: A non-human identity is any machine or software identity used to access systems, data, or services. This includes service accounts, API keys, tokens, certificates, bots, and AI agents, all of which require ownership, visibility, and lifecycle control rather than human-style authentication assumptions.
• Identity lifecycle management: Identity lifecycle management is the process of creating, changing, reviewing, and removing access as needs evolve. For non-human identities, the lifecycle must also account for technical ownership, rotation, expiry, and offboarding so access does not persist after the workload or service changes.

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 Nexis: IGA in 2026, key insights from KuppingerCole Analysts Identity Governance and Administration Leadership Compass. Read the original.