Identity governance modernization is now a security requirement

At a glance

What this is: This is an independent analysis of why legacy identity governance no longer matches how modern enterprises create, connect, and control human and machine identities.

Why it matters: It matters because IAM, NHI, and autonomy programmes now share the same governance gap: identities are multiplying faster than quarterly reviews, manual certification, and static provisioning models can keep up.

👉 Read Omada Identity's full post on why identity governance modernization can't wait

Context

Identity governance modernization is the problem this article is really about. Traditional IGA was designed for slower change, stable application estates, and human-centric joiner-mover-leaver cycles, but modern enterprises now create identity relationships through APIs, automated workflows, service accounts, and AI tools that legacy platforms were never built to observe.

The governance gap is no longer just a compliance inconvenience. When identity creation, approval, and access use different paths from the ones the IGA platform can see, teams lose visibility into who or what has access, who approved it, and when that access should be removed. That affects human IAM, non-human identities, and the emerging control problem around AI-driven access patterns.

For practitioners, the key question is not whether IGA works in principle. It is whether the current governance model can still track identities that appear outside conventional provisioning flows and persist long enough to become an attack path or an operational bottleneck.

Key questions

Q: How should teams modernise identity governance for machine identities?

A: Start by inventorying machine identities, assigning owners, and linking each identity to a business purpose and lifecycle state. Then replace periodic review-only governance with continuous discovery, entitlement validation, and automated revocation. Modernisation succeeds when machine access is governed with the same discipline as human access, not treated as an exception.

Q: Why do legacy IGA platforms fail in cloud and API-driven environments?

A: They were built for stable systems, predictable roles, and scheduled certification cycles. Cloud and API-driven environments create identity relationships dynamically through service accounts, tokens, and delegated connections that may never appear in the old governance path. The result is hidden access, weak ownership, and delayed removal of risky entitlements.

Q: What breaks when access reviews are the main governance control?

A: Access reviews fail when identity state changes faster than the review cadence. By the time reviewers see the account or entitlement, the access path may already have changed, expired, or been abused. Reviews still matter, but they cannot be the only control if identities are created and retired continuously.

Q: Who should own machine identity governance in an enterprise?

A: Ownership should sit with the business and technical teams that create or operate the identity, with IAM or IGA providing the control framework and enforcement. If no one owns the identity’s purpose, lifecycle, and revocation, governance becomes a record-keeping exercise instead of a control function.

Technical breakdown

Why legacy IGA breaks in API-driven environments

Legacy identity governance platforms were built around documented users, static applications, and scheduled review cycles. In API-driven environments, access is often created indirectly through service accounts, tokens, and delegated connections that do not pass through the same provisioning and attestation path as human users. That creates blind spots in discovery, entitlement mapping, and ownership assignment. Once identity state becomes fragmented across cloud services, containers, and SaaS integrations, quarterly snapshots stop reflecting actual access conditions.

Practical implication: map every non-human access path into a governed inventory before relying on access reviews or recertification.

How modern IGA uses continuous visibility and automated controls

Modern IGA shifts from periodic certification to continuous discovery. It correlates identity events, application connections, and behavioural signals so governance can detect new access paths as they appear, rather than waiting for the next review cycle. Automated controls then enforce policy, trigger exceptions, and remove access across connected systems without forcing analysts to reconcile every change manually. AI-driven intelligence is useful here only when it is anchored in authoritative identity data and change events.

Practical implication: prioritise platforms and processes that can discover, validate, and revoke access continuously across human and machine identities.

Why zero trust changes the role of identity governance

Zero trust treats every access request as conditional, which means identity governance becomes part of enforcement rather than a back-office record-keeping function. For human users, that means context-aware approval and step-up checks. For machine identities, it means tighter lifecycle control, stronger ownership, and better linkage between identity creation and allowed use. In practice, identity governance and zero trust now overlap at the point where access is authorised, monitored, and withdrawn.

Practical implication: align IGA policy, access enforcement, and deprovisioning workflows to the same trust model instead of managing them as separate programmes.

Threat narrative

Attacker objective: The objective is to exploit hidden or stale identity relationships long enough to access sensitive data, expand reach, or delay containment before governance catches up.

1. Entry occurs when a new AI tool, API connection, or automated workflow is added outside the governance platform's visibility, creating access that is real but undocumented.
2. Escalation happens when service accounts, keys, or delegated credentials persist beyond the point where the business no longer actively reviews them, giving attackers or misconfigurations time to exploit standing access.
3. Impact is delayed detection, broader exposure, and slower containment because the governance team is working from incomplete identity data rather than a live view of who and what can reach sensitive systems.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• DeepSeek breach — DeepSeek breach exposed 1M+ log lines and sensitive secret keys.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity governance modernization is a control problem, not an upgrade project. The article describes a world where identity state changes faster than legacy IGA can observe it, which means the issue is not interface modernisation but governance relevance. Quarterly certification, spreadsheet-era ownership, and manual offboarding no longer match the cadence of API-led business operations. Practitioners should treat governance visibility as a live control objective, not a reporting exercise.

Machine identities have moved from edge case to governance baseline. The article’s core argument is that service accounts, AI tools, and automated workflows now generate identity relationships at enterprise scale. That makes NIST CSF style visibility and control expectations harder to satisfy with human-only assumptions, and it pushes OWASP-NHI style thinking into mainstream identity programmes. The implication is clear: if machine identities are not inventoried, owned, and lifecycle-managed, the governance model is incomplete.

Runtime identity drift is now the named failure mode teams should track. Drift appears when access is created through APIs, delegated tooling, or automation that outpaces attestation and approval cycles. The problem is not just more identities but identities whose access path changes faster than governance artefacts can be updated. Practitioners should frame this as a continuous control integrity issue, not a one-time visibility gap.

Continuous governance is becoming the new separation point between mature and brittle identity programmes. The article shows that organisations do not just need faster provisioning; they need continuous correlation between access, approval, and business need. That means access review, lifecycle management, and zero trust controls must operate as one discipline across human and non-human identities. The practical conclusion is that governance programmes built on periodic cleanup will keep falling behind.

Access review cadences were designed for slower identity systems. That assumption fails when identities are created through automation, shadow AI, and delegated APIs because the access window may open and close before the next review cycle. The implication is not merely that reviews need to happen more often. It is that review-based governance alone cannot represent the state of modern access.

From our research:

• 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.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
• That lifecycle gap is why practitioners should pair continuous governance with NHI Lifecycle Management Guide and 52 NHI Breaches Analysis.

What this signals

Runtime governance gap: enterprises are now running identity programmes where the control plane sees fewer identities than the business actually uses. That gap will widen as AI tools, automated workflows, and delegated APIs continue to create access outside traditional IGA paths, so practitioners should expect discovery and ownership to become the first programme bottlenecks.

The signal for identity leaders is that lifecycle management must move from periodic cleanup to continuous control. The more identities are created through machine-mediated processes, the more the programme depends on fast revocation, clean ownership, and trustworthy correlation between access and business need.

With 97% of NHIs carrying excessive privileges, according to the Ultimate Guide to NHIs, the governance challenge is no longer visibility alone. Teams need to prepare for entitlement reduction, not just entitlement discovery, and that changes how they sequence IGA modernisation work.

For practitioners

• Inventory every non-human identity path Build a governed inventory of service accounts, API keys, tokens, certificates, and AI-connected access paths that may bypass legacy IGA workflows. Include ownership, system of record, and business purpose for each identity.
• Replace quarterly certainty with continuous discovery Use controls that detect new identity relationships as they appear, then validate entitlements and ownership before the next certification cycle. This is essential where APIs and automation create access faster than manual review can track it.
• Tie offboarding to actual identity usage Automate revocation when a workflow ends, a contractor leaves, or an AI tool is retired, and verify that access is removed across every connected system rather than only in the primary directory.
• Align IGA with zero trust enforcement Connect governance decisions to contextual access checks so approvals, monitoring, and deprovisioning reflect the same policy logic across human and machine identities.
• Baseline hidden access before modernising Measure where current governance cannot see service accounts, delegated connections, and machine identities, then use that blind spot as the starting point for remediation planning.

Key takeaways

• Legacy identity governance is failing because the enterprise now creates identities through APIs, automation, and AI tools that older platforms were never designed to see.
• The operational risk is not just more identities, but identities whose approval, ownership, and removal no longer line up with review cycles or manual processes.
• Modernisation should focus on continuous discovery, automated revocation, and zero trust alignment across human and machine identities, not on incremental patching of a legacy model.

Key terms

• Identity Governance Modernization: The shift from periodic, human-centric access administration to continuous governance across cloud, application, and machine identities. It means discovery, ownership, review, and revocation must work in near real time across systems that create access dynamically, not just at scheduled checkpoints.
• Machine Identity: A non-human identity used by software, services, automation, or AI tools to authenticate and act within a system. In modern governance, machine identities need the same ownership, lifecycle, and access controls as human users because they can reach sensitive data and infrastructure at scale.
• Runtime Governance Gap: The gap between when an identity is created or changes and when governance systems can see, validate, and control it. In API-driven and automated environments, this gap becomes a security issue because access can be active long before it is reviewed or removed.
• Continuous Certification: An access review model that validates entitlements as part of ongoing operations rather than on a quarterly or annual schedule. It is only effective when supported by live identity discovery, reliable ownership data, and enforcement that can remove access without manual delay.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle 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 maturity in your organisation, it is worth exploring.

This post draws on content published by Omada Identity: Why Identity Governance Modernization Can't Wait. Read the original.