Identity governance gaps for NHIs in cloud-first enterprises

At a glance

What this is: This is an explainer on identity governance and administration that frames IGA as the policy layer above IAM for access control, compliance, and lifecycle management.

Why it matters: It matters to IAM and NHI practitioners because service accounts, tokens, and other non-human identities create the same governance pressure as human users, only at far greater scale.

By the numbers:

• Companies will deploy 95% of new digital workloads to the cloud by 2025, increasing the number of access paths that identity governance must cover.
• The average cost of a data breach is $4.35 million, up 12.7% since 2020.
• 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.

👉 Read StrongDM's guide to identity governance and administration

Context

Identity governance and administration is the policy and control layer that decides who or what should have access, how that access is approved, and when it must be removed. In practice, that matters for NHI governance because the same gaps that affect human access also appear in service accounts, API keys, tokens, certificates, and workload identities, often with less visibility and weaker review.

The article treats IGA as an answer to cloud sprawl, compliance pressure, and the complexity of access review across many platforms. That framing is directionally correct, but it is also incomplete for modern environments where non-human identities outnumber people and often carry broader privileges than they should. The starting point described here is common for IAM teams, but it is already behind the operational reality of agentic systems and automated workflows.

Key questions

Q: How should security teams govern non-human identities in cloud environments?

A: They should treat non-human identities as first-class assets with owners, purpose, scope, and expiry. That means inventorying service accounts and secrets, enforcing least privilege, reviewing access on a lifecycle basis, and revoking credentials when the workload changes. Governance fails when machine access is managed like a one-time setup instead of a living control.

Q: What is the difference between IAM and IGA for NHI controls?

A: IAM manages authentication and authorization, while IGA adds the policy, review, and compliance layer above those controls. For NHI programs, that distinction matters because a credential can be valid and still be out of policy. Teams need both operational access control and governance evidence to reduce risk.

Q: Why do non-human identities create more governance risk than human users?

A: Non-human identities scale faster, are created by automation, and are often forgotten after the original task ends. They also tend to carry broad privileges and valid secrets that survive long after the workload changes. That combination makes them harder to review and easier to abuse than human accounts.

Q: Should organisations use just-in-time access for service accounts?

A: Yes, when the task can tolerate time-bounded access and the workflow supports automated provisioning. Just-in-time access reduces standing privilege, but it only works if revocation is reliable and the identity is tied to a specific workload or action. Persistent exceptions should be rare and explicitly risk-accepted.

Technical breakdown

How IGA sits above IAM and PAM

IGA is the governance layer that defines access policy, reviews entitlements, and creates evidence, while IAM is the operational layer that authenticates users and provisions access. PAM narrows that further to elevated access controls. In mature environments, these layers should work together rather than overlap blindly. For NHI programs, the distinction matters because service accounts and machine credentials often bypass the review rigor applied to human identities, even when they create the same or greater blast radius.

Practical implication: Treat NHI entitlement review, approval, and revocation as governance functions, not just account management tasks.

Why access review fails when identities scale faster than workflows

Access review breaks when the number of identities, entitlements, and applications grows faster than the team can reconcile them. The article’s emphasis on analytics and reporting reflects a real need: policy without visibility produces compliance theater. For NHI environments, the problem is sharper because machine identities are created by code, pipelines, and integrations, then forgotten. That creates standing access that survives the workload that originally justified it, which is a lifecycle failure more than a visibility failure.

Practical implication: Automate entitlement discovery and tie every non-human credential to an owner, purpose, and expiry date.

Role-based access control, ABAC, and just-in-time access for NHIs

Role-based access control assigns permissions by role, while attribute-based access control uses policy signals such as environment, workload, or task context. Just-in-time access adds time-bounded elevation instead of persistent access. In NHI settings, these models are useful only if they are applied to machine identities as rigorously as to people. Otherwise, organizations end up with permanent API keys and broad service account scopes that contradict least privilege. The core architectural issue is not the model itself, but whether the model is enforced at runtime and through lifecycle change.

Practical implication: Use task-scoped, time-limited access for machine identities whenever a standing permission can be replaced.

Threat narrative

Attacker objective: The attacker aims to turn a forgotten machine credential into durable access that evades human-facing review and enables broad system abuse.

1. Entry occurs when a service account, API key, or token is created for automation and then left in place after the original need has passed.
2. Escalation happens when the same credential is reused across systems or granted broader entitlements than the workload requires.
3. Impact follows when the compromised non-human identity can read data, modify infrastructure, or impersonate trusted automation at scale.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.

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

NHI Mgmt Group analysis

IGA is not the same thing as NHI governance, and that distinction now matters operationally. IGA explains who should have access and how that access is reviewed. NHI governance adds machine identity lifecycle control, secret handling, and runtime scope enforcement, which are often absent from traditional identity programs. Practitioners should treat IGA as necessary but insufficient for non-human identities.

Access review alone does not solve the machine identity problem. The article centers reporting, logging, and certification, but machine credentials fail differently from human accounts. Secrets expire late, rotate inconsistently, and are frequently embedded in code or automation. A governance program that does not track ownership, purpose, and expiry will miss the highest-risk NHI paths.

Identity blast radius is the right concept for this category. Once a workload credential is reused across platforms, the question is no longer whether access is legitimate in isolation. The real issue is how far one credential can move before control catches it. That makes privilege scope, workload segmentation, and revocation speed the decisive controls for practitioners.

Policy-based governance will replace manual exception handling as the default operating model. Human review cannot keep pace with cloud workload growth and automated provisioning. The market is moving toward policy engines, lifecycle automation, and evidence generation that can operate continuously. Practitioners should re-evaluate any program that still depends on periodic spreadsheet review for NHI control.

Security programs that treat NHIs as a subset of human identity will understate risk. Machine identities do not behave like employees, and their access patterns should not be governed as if they do. The stronger model is purpose-bound access with explicit owners, time limits, and revocation paths. Practitioners should redesign governance around workload behaviour, not user analogies.

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 the Ultimate Guide to NHIs.
• 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
• That same lifecycle gap is why practitioners should pair access governance with NHI Lifecycle Management Guide practices for provisioning, rotation, and offboarding.

What this signals

The signal for security teams is that IGA must become machine-aware, not just identity-aware. If governance still centers on human joiner-mover-leaver workflows, NHI risk will continue to accumulate outside the control plane. Programs should prepare for continuous discovery, automated recertification, and tighter ownership mapping across cloud and pipeline identities.

Identity blast radius: the practical unit of control is no longer the account, but the scope a credential can reach before detection or revocation. With 96% of organisations storing secrets outside secrets managers in vulnerable locations including code, config files, and CI/CD tools, per the Ultimate Guide to NHIs, the next operating model has to assume distributed secret exposure and shorten time to containment.

Teams should also align their governance model to external control frameworks where the article’s themes already map cleanly, especially NIST Cybersecurity Framework 2.0 and OWASP Non-Human Identity Top 10. That helps translate access review language into measurable control outcomes for NHI ownership, revocation, and least privilege.

For practitioners

• Define a separate NHI governance model Map service accounts, API keys, tokens, certificates, and workload identities to an owner, purpose, and expiry. Do not let them inherit human access review cadences without adjustment.
• Automate entitlement discovery and review Build a repeatable process that inventories machine identities across cloud, CI/CD, and runtime systems, then flags orphaned or over-privileged access for remediation.
• Enforce least privilege at the workload boundary Scope each non-human identity to one task, one environment, or one service path wherever possible, and remove broad reusable permissions that create unnecessary blast radius.
• Tie revocation to lifecycle events Trigger rotation or removal when a workload changes, when a pipeline is retired, or when an integration is replaced, rather than relying on periodic cleanup.
• Use evidence-driven access reporting Centralize logs, approvals, and entitlement records so auditors can see who approved access, when it was last validated, and what changed after deployment.

Key takeaways

• IGA is a governance layer, but NHI risk requires machine-specific controls for ownership, expiry, and revocation.
• The scale problem is already visible in secret persistence and over-privilege, which makes manual review an unreliable primary control.
• Practitioners should move from account-centric governance to workload-centric lifecycle management and runtime least privilege.

Key terms

• Identity Governance And Administration: Identity governance and administration is the policy layer that decides who or what should have access, how that access is approved, and when it must be removed. It combines review, reporting, and enforcement so organisations can prove access is appropriate over time, not just at the moment an account is created.
• Non-Human Identity: A non-human identity is any credentialed entity that acts on behalf of software, infrastructure, or automation rather than a person. That includes service accounts, API keys, tokens, certificates, bots, workloads, and AI agents, all of which can accumulate privilege and create governance risk if left unmanaged.
• Just-In-Time Access: Just-in-time access is a control pattern that grants permissions only when a task needs them and removes them after the task ends. For non-human identities, it reduces standing privilege and shortens exposure windows, but it only works when provisioning and revocation are tightly automated.
• Identity Blast Radius: Identity blast radius is the amount of damage a single credential can cause before the organisation detects and contains it. For NHI programs, it is shaped by privilege scope, reuse across systems, secret storage practices, and how quickly access can be revoked when a workload changes.

Deepen your knowledge

IGA, lifecycle governance, and least privilege for non-human identities are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building a governance programme from a similar starting point, it is worth exploring.

This post draws on content published by StrongDM: What Is IGA? Identity Governance & Administration Explained. Read the original.