Organisations should treat human and machine identities as one control plane, with consistent discovery, least privilege, access review, and monitoring. As the identity estate grows, the main risk is fragmented ownership and blind spots across service accounts, third-party access, and privileged accounts. A converged identity program helps teams enforce policy, detect drift, and reduce exposure before it becomes an incident.
Why This Matters for Security Teams
As cloud estates and third-party integrations expand, identity becomes the control plane that determines what can actually happen, not just who can log in. The challenge is that human users, service accounts, API keys, and vendor access all create different risk patterns, yet attackers only need one weak path to move laterally. NHI Management Group’s Ultimate Guide to NHIs shows how quickly this expands in practice: NHIs outnumber human identities by 25x to 50x in modern enterprises.
That scale changes governance priorities. Traditional periodic reviews are too slow when secrets can be embedded in CI/CD, third-party tools, and workloads that never sleep. Current guidance from the NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10 points toward continuous discovery, least privilege, and monitoring as baseline controls, but the operational reality is that many organisations still manage identities in silos. In practice, many security teams encounter excessive access only after a third-party token, stale service account, or over-privileged admin path has already been abused.
How It Works in Practice
Effective governance treats the identity estate as a single inventory with different identity classes, different owners, and the same enforcement expectations. That means discovery across cloud accounts, SaaS apps, CI/CD systems, privileged access tools, and vendor connections, followed by classification of each identity by business function, privilege, and expiry risk. The goal is not to make every identity identical. The goal is to make every identity visible, attributable, and reviewable.
Practically, teams should combine entitlement mapping, access reviews, secret rotation, and event monitoring into one operating model. Human access can be governed through joiner-mover-leaver workflows and privileged access management, while machine identities need lifecycle controls for creation, rotation, and revocation. NHI Management Group’s Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges, which is why least privilege must be enforced at issuance, not only during annual reviews.
- Use one authoritative inventory for humans, service accounts, workload identities, and third-party accounts.
- Tag every identity with owner, purpose, environment, and expiry date.
- Prefer short-lived credentials and federated access over long-lived static secrets.
- Review privileged and external access on a risk-based cadence, not a fixed calendar alone.
- Alert on privilege drift, unusual token use, and access that persists after a contract or workload ends.
This approach aligns with the control intent in NIST SP 800-53 Rev 5 Security and Privacy Controls, especially where access enforcement and accountability depend on continuous review rather than static assignment. These controls tend to break down in organisations with fragmented SaaS ownership because no single team can see the full path from identity issuance to privilege abuse.
Common Variations and Edge Cases
Tighter identity governance often increases operational overhead, requiring organisations to balance stronger control against developer velocity, vendor friction, and support complexity. That tradeoff is real, especially where teams rely on legacy apps, outsourced operations, or partner-managed environments that cannot easily support federation or rapid credential rotation. Best practice is evolving here, and there is no universal standard for every integration pattern yet.
One common edge case is third-party access that is technically temporary but operationally persistent. Another is machine-to-machine access where the workload is legitimate but the owning team changes, leaving stale permissions behind. In these cases, governance should focus on contract boundaries, explicit owner assignment, and automated expiry rather than assuming periodic review will catch drift. The same applies to break-glass accounts: they are necessary, but they should be isolated, monitored, and tested so they do not become permanent backdoors.
Security teams should also separate visibility from trust. Seeing an identity is not the same as approving its access. NHIMG research on 52 NHI Breaches Analysis shows how identity weaknesses often surface through compound failures, not single misconfigurations, which is why continuous monitoring matters more than one-time certification. Organisations that standardise around this model are better positioned to manage scale without losing control of high-risk access paths.
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 address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-63, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AA | Identity inventory and access review are core to governance at scale. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Discovery and visibility of non-human identities is central to the question. |
| NIST SP 800-63 | Digital identity assurance supports stronger human identity governance. | |
| NIST Zero Trust (SP 800-207) | PR.AC-4 | Least privilege and continuous verification align with converged identity governance. |
| NIST AI RMF | Risk governance principles help manage autonomous identity-driven systems and drift. |
Assign clear ownership, monitor risk, and review identity decisions as systems and context change.
Related resources from NHI Mgmt Group
- How should security teams govern cloud access for both human and machine identities without slowing developers down?
- Why does NIST CSF 2.0 matter for organisations trying to govern access risks across cloud, application, and third-party environments?
- Why do non-human identities create more operational risk when organisations scale AI and cloud adoption?
- How should organisations govern cloud identities across Microsoft 365, Azure IaaS, and Teams without slowing remote work?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 28, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
