TL;DR: A market still centred on access control, auditability, and Zero Trust integration is reflected in a roundup of leading IAM tools, according to StrongDM. Identity-related fraud nearly doubled between 2020 and 2021, and the operational question is no longer whether IAM exists, but whether it can govern modern non-human access patterns without leaving lifecycle and privilege gaps.
At a glance
What this is: This article reviews seven IAM platforms and finds that feature breadth still does not guarantee governance coverage for non-human access, especially across provisioning, offboarding, and auditability.
Why it matters: IAM teams need to separate access orchestration from lifecycle governance, because machine credentials and privileged paths create control gaps that human-centric IAM designs often leave exposed.
By the numbers:
- Identity-related fraud nearly doubled between 2020 and 2021.
- StrongDM has been established in the endpoint security industry since 1985.
Context
IAM platforms are often evaluated on access features such as SSO, MFA, logging, and Zero Trust alignment, but those controls do not automatically translate into governance for non-human identity. The gap appears when service accounts, keys, tokens, and machine sessions need the same lifecycle discipline that human users already expect.
This article surveys seven IAM tools and uses product capabilities as the lens for a broader governance question: can modern IAM manage non-human access with the same rigor it applies to people? The answer matters because access orchestration without offboarding, secret handling, and privilege scope control leaves machine access under-governed.
StrongDM’s article also shows how vendors increasingly bundle auditing, lifecycle automation, and privileged access functions into the IAM conversation. That convergence is useful, but it can also obscure whether the platform truly governs non-human identities or simply centralises visibility.
Key questions
Q: What breaks when non-human identities are managed outside the IAM operating model?
A: What breaks is accountability. Without IAM ownership, non-human credentials drift into fragmented secrets tools, inconsistent review cycles, and orphaned access that persists after the workload changes. That is how machine identities become invisible trust dependencies.
Q: Why do non-human identities create more IAM risk than many teams expect?
A: Because they are numerous, long-lived, and often poorly owned. Credentials can be embedded in code, reused across systems, or left active after the original purpose ends. That creates hidden trust paths that traditional user-centric IAM processes do not fully see or retire.
Q: How can IAM teams tell whether machine identities are under control?
A: Look for complete inventory, named ownership, entitlement review, rotation discipline, and offboarding evidence for every machine identity. If service accounts, tokens, or certificates cannot be traced to a business owner and a revocation path, the programme is not under control. Visibility without ownership is only partial governance.
Q: What is the difference between privileged access management and non-human identity governance?
A: Privileged access management focuses on controlling elevated human or service access at the moment it is used. Non-human identity governance is broader, covering the lifecycle of service accounts, API keys, tokens, certificates, and automation identities. In practice, the two need to work together because machine credentials often carry privileged access.
Technical breakdown
Why IAM feature lists still miss machine identity governance
Traditional IAM feature sets are built around human-centric patterns such as SSO, MFA, and account provisioning. Non-human identities behave differently because they are often embedded in applications, scripts, databases, clusters, and automation paths that do not map cleanly to a person-based joiner-mover-leaver model. When a platform focuses on access initiation but not identity lifecycle, it can centralise control without actually governing the credential estate. The practical issue is not whether the system authenticates well, but whether it can inventory, scope, and retire non-human access with precision.
Practical implication: assess whether IAM coverage extends beyond authentication into lifecycle, ownership, and revocation for service and workload identities.
How privileged access changes the governance problem
Privileged access introduces a different risk profile because the access path itself becomes the control surface. In the article, several tools emphasise least privilege, audit trails, and session logging, which are necessary but not sufficient if privileged non-human access still exists as durable credentials or broad entitlements. Governance needs to answer who can create access, what the access is scoped to, how long it exists, and how it is removed. Without those answers, privileged access becomes a persistence mechanism rather than a managed security function.
Practical implication: treat privileged non-human access as a governed lifecycle, not just a monitored session.
Why logs and reauthentication do not solve lifecycle drift
Audit logs, session replay, and reauthentication controls help with visibility, but they do not close the governance gap created when access outlives its business purpose. A machine identity can remain active long after the application owner changes, the integration is retired, or the secret should have been revoked. That makes offboarding and periodic access certification central controls, not administrative extras. The deeper issue is that access review tools often inspect a state that may already be stale by the time it is reviewed.
Practical implication: pair logging with revocation and recertification workflows that can actually retire non-human access.
Threat narrative
Attacker objective: The objective is to turn ordinary IAM trust into a durable pathway for unauthorized access across multiple systems.
- Entry occurs through overexposed or reused IAM credentials, especially where non-human access is provisioned as a durable secret rather than an owned identity.
- Escalation follows when broad entitlements, weak scoping, or unmanaged service accounts let an attacker move from a single credential to higher-value systems.
- Impact appears as unauthorized access to databases, servers, or cloud applications, with audit trails showing activity but not preventing abuse.
Breaches seen in the wild
- Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
NHI governance is now the missing layer in many IAM evaluations: Access management products can centralise authentication and logging while still leaving non-human identities poorly governed. The article’s comparison set repeatedly values breadth, usability, and integration, but those traits do not prove lifecycle control over machine identities. Practitioners should treat NHI governance as a distinct evaluation dimension, not an implicit by-product of IAM maturity.
Lifetime access is the real control gap, not login convenience: The article praises automated onboarding and offboarding, yet the harder problem is whether every service credential, token, or privileged integration is actually owned, scoped, and retired on time. That gap matters because machine access often persists long after the business reason for it has changed. The practitioner takeaway is that revocation discipline matters more than access convenience.
Identity-related fraud and machine access drift are converging risks: When identity risk expands, the distinction between human fraud, over-permissioned service accounts, and stale machine credentials becomes operationally important. A platform that stops at user experience or access orchestration may still leave lateral movement paths open across the environment. Practitioners should map IAM coverage to the full identity estate, not just employee login flows.
Least privilege without ownership becomes a slogan: The article repeatedly references least privilege and auditability, but least privilege only works when someone can assert ownership, approve scope, and remove access at end of life. That is why NHI governance needs inventory, accountability, and lifecycle control as core programme requirements. The implication is straightforward: if no one owns the identity, no one truly governs it.
Runtime visibility is not the same as governance: Session logs and activity records help after the fact, but governance is decided earlier, at issuance and entitlement design. Non-human identities create a control environment where access can be created faster than it can be reviewed, especially in cloud and DevOps workflows. Practitioners should re-evaluate whether their IAM stack governs access or merely records it after the fact.
What this signals
Non-human identity governance is becoming a separate evaluation category: IAM platforms may still look complete on paper while failing to answer basic lifecycle questions for service accounts and machine credentials. That gap pushes practitioners to assess inventory, ownership, revocation, and recertification as first-class requirements, not implementation details.
Access orchestration is not enough when credentials can outlive their purpose: The article reinforces a common pattern in mature environments, where access is easy to grant but hard to retire cleanly. Programmes that do not connect IAM to lifecycle controls will keep accumulating dormant machine access even if their authentication stack is modern.
Ephemeral permissions reduce exposure, but only if the revocation path is real: Least privilege and short-lived access help, yet they fail when offboarding is incomplete or when service identities are never inventoried in the first place. The practical signal for teams is whether their IAM programme can prove end-of-life control for every non-human identity.
For practitioners
- Inventory every non-human identity Build a complete register of service accounts, API keys, tokens, certificates, and workload identities, and assign an owner to each one. Without an ownership model, lifecycle controls cannot be enforced or audited.
- Separate access orchestration from lifecycle governance Test whether your IAM platform can revoke, recertify, and retire non-human access, not just provision it. The key question is whether the system can close the loop when a credential or integration is no longer needed.
- Reduce standing privilege in machine access paths Replace broad, persistent entitlements with narrowly scoped access that expires with the task or integration. If the credential can outlive the use case, the governance model is incomplete.
- Audit offboarding for integrations and service accounts Include decommissioned apps, vendor connections, and automation pipelines in offboarding checks so orphaned access does not survive business change. Machine access should be retired as deliberately as employee access.
- Validate auditability at the credential level Confirm that logs show who created access, what scope it had, and when it was removed. Session replay alone is not enough if the underlying identity lifecycle is not controlled.
Key takeaways
- IAM tool selection is no longer just an access-control decision, because machine identities introduce lifecycle and privilege problems that human-centric designs can miss.
- The article’s strongest signal is that visibility, audit logs, and SSO coverage do not equal governance if service accounts and secrets remain unmanaged.
- Teams should evaluate whether their IAM stack can inventory, scope, review, and retire non-human access, or whether a separate governance layer is still missing.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 addresses the attack and risk surface, while NIST SP 800-53 Rev 5, NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | The article highlights offboarding gaps for non-human access and stale machine identities. |
| NHI-05 — Overprivileged NHI | Several platforms are judged on least privilege, but broad machine access remains the central governance risk. | |
| NHI-07 — Long-Lived Secrets | The article's machine-access discussion depends on whether credentials persist beyond the use case. | |
| Recommendation — Audit non-human offboarding paths so service accounts, tokens, and keys are retired when their business use ends. Review non-human entitlements and shrink any standing privilege that exceeds the identity's task scope. Replace durable secrets with short-lived credentials where the identity lifecycle can be enforced. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Credential issuance, rotation, and revocation are central to the machine-access governance gap. |
| Recommendation — Apply authenticator management to enforce rotation, revocation, and lifetime limits for non-human credentials. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article centers on whether access permissions are scoped and governed across identity types. |
| Recommendation — Map non-human access permissions to PR.AA-05 and verify they are least-privilege and reviewable. | ||
| CIS Controls v8 | CIS-5 — Account Management | The article's lifecycle theme aligns with account and identity management across machine accounts. |
| Recommendation — Use account management to inventory, review, and disable dormant machine identities on a fixed cadence. | ||
Key terms
- Non-Human Identity Governance: Non-human identity governance is the practice of managing, controlling, and auditing every machine identity across its full lifecycle. It covers service accounts, API keys, tokens, certificates, and AI agent credentials, ensuring each has a defined owner, scoped privilege, rotation schedule, and revocation path. Without governance, NHIs accumulate silently and become the primary attack surface in cloud and automated environments.
- Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.
- Off-boarding: Off-boarding is the process of removing a departing user’s access, credentials, and related entitlements from the environment. In mature IAM programmes, it also includes reviewing sessions, shared secrets, delegated roles, and linked non-human identities so that exit events do not leave behind hidden access paths.
- Authenticator Lifecycle Management: Authenticator lifecycle management is the governance of a credential from issuance to renewal, replacement, and retirement. For human identity programmes, it ensures that keys, smart cards, and certificates stay tied to the right user and are removed when the user, role, or device is no longer trusted.
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 building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on June 7, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org