By NHI Mgmt Group Editorial TeamBased on Abnormal AI: “If Every User Needs an Identity, Why Don’t Our APIs?” (February 5, 2026)

TL;DR: APIs now function as unmanaged identities in many enterprises, with static keys, shared secrets, and long-lived permissions creating a trust gap that human-focused IAM does not close, according to Abnormal AI. Treating API access as identity governance, not plumbing, is now a prerequisite for least privilege and Zero Trust consistency.


At a glance

What this is: This analysis argues that APIs function as unmanaged identities in many enterprises, and that just-in-time access is the control pattern that better fits their operating model.

Why it matters: For IAM, PAM, and NHI teams, the issue is that human-centric access models leave API trust relationships implicit, permanent, and hard to govern across automation and integrations.


Context

APIs are software identities that authenticate, receive authorization, and execute actions continuously across systems. When organisations treat them as plumbing instead of identities, they inherit the governance gap that human IAM was designed to prevent, but not for machine-to-machine access.

The article’s central problem is not API traffic volume, but unmanaged trust: static keys, shared secrets, and long-lived permissions make it difficult to prove who or what is acting and whether that access should still exist. That places API access squarely inside identity governance, lifecycle management, and least-privilege design.

The source frames just-in-time access as a way to make API privilege temporary, narrow, and auditable rather than permanent. That is typical of modern enterprise environments, where APIs increasingly sit in the critical path for data movement, orchestration, and AI-enabled workflows.


Key questions

Q: When do API security controls fail in practice?

A: They fail when authentication is weak, scopes are too broad, endpoints are exposed without validation, or secrets are copied into too many places to revoke quickly. In that state, even a small leak can become durable access. The real test is whether one compromised credential can be invalidated before it is reused elsewhere.

Q: Why are long-lived API keys a higher-risk credential type for modern application access?

A: Long-lived API keys create risk because they persist far beyond a single task or session, which expands the window for theft and misuse. They are also often handled inconsistently across providers and gateways, so teams end up with uneven client-side implementations. Just-in-time injection reduces exposure by limiting when the credential exists in usable form.

Q: How should security teams govern API access as a non-human identity?

A: Security teams should inventory APIs as identities, assign an accountable owner, and enforce lifecycle controls for issuance, rotation, expiry, and revocation. The goal is to make access explicit and reviewable rather than hidden in code, pipeline variables, or shared credentials. Without that discipline, machine access becomes unmanaged trust instead of governed identity.

Q: What does just-in-time access change for API governance?

A: It changes the default state from persistent trust to temporary trust. Instead of assuming an API should stay authorized until manually removed, the organisation issues narrow access for a defined purpose and removes it automatically when that purpose ends.


Technical breakdown

Why human IAM assumptions fail for API identities

Human IAM models assume login events, interactive sessions, and revocable user access patterns. APIs do not behave that way: they run continuously, call other services programmatically, and often use tokens or keys that outlive any single transaction. When an API is governed like a person, the controls drift toward convenience, such as shared secrets and broad standing permissions. That produces identity relationships that are real but invisible, which is why ownership and lifecycle are central to API governance. Practical implication: treat each API as an identity with explicit ownership, scope, and expiry.

Practical implication: Model every API as a governed identity with clear ownership, scope, and expiry.

How just-in-time access changes API privilege

Just-in-time access replaces standing privilege with ephemeral authorization. Instead of keeping a token, key, or service permission alive indefinitely, access is issued for a narrow purpose and then revoked automatically after use. That reduces the attack window and limits what a compromised credential can do, but only if the underlying identity system can issue and withdraw privileges reliably. In practice, JIT is less about speed and more about changing the default state from persistent trust to temporary trust. Practical implication: align API issuance and revocation flows with task scope, not team convenience.

Practical implication: Shift API authorization from standing access to task-scoped issuance and automatic revocation.

Why shared secrets and long-lived credentials create hidden trust

Shared secrets and long-lived credentials conceal which system is acting and whether the access path is still justified. They also make it difficult to separate design-time convenience from runtime trust, which is why they persist in CI/CD and integration-heavy environments. Once a key is embedded broadly, the organisation loses precise control over who can use it, where it appears, and how long it remains valid. That is an identity governance problem before it is a technical one. Practical implication: inventory every API credential path and remove any secret that cannot be owned, rotated, and revoked cleanly.

Practical implication: Inventory API credential paths and eliminate secrets that cannot be owned, rotated, and revoked cleanly.


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

APIs have become unmanaged identities, not auxiliary technical endpoints. The article is right to treat API keys, tokens, and service connections as identities because they create durable trust relationships that behave like accounts, not sockets. That changes the governance problem from traffic control to identity control. Practitioners should stop assuming that machine access can be safely left outside the identity programme.

Just-in-time access becomes the correct control pattern when API privilege needs to be temporary. Standing access creates a trust window that is far larger than most integration tasks require, which is why the article’s JIT framing is operationally sound. This is less about convenience and more about reducing the time in which an exposed credential can be abused. The practical conclusion is that standing privilege should be the exception, not the default, for API identities.

Human-centric IAM breaks down when applied to machine identities because the lifecycle is different. The article correctly shows that APIs do not wait for interactive sessions, MFA prompts, or user-centric recertification cycles. That does not make them less governable; it means governance has to move to issuance, ownership, and revocation events that reflect machine runtime behaviour. Security teams should redesign controls around how APIs actually operate, not around how people log in.

Identity governance for APIs is now part of Zero Trust consistency, not a separate optimisation project. If API trust remains implicit, the environment cannot claim consistent least privilege across human and non-human access paths. The named concept here is API trust perimeter drift: the tendency for machine-to-machine access to sit outside the same governance perimeter as user access. Practitioners should treat that drift as a structural gap in the identity model.

CI/CD guardrails matter because API identity problems often begin in the delivery pipeline. The article’s emphasis on embedding controls into pipelines reflects a broader reality: identity debt is frequently introduced at build and integration time, not only at runtime. Once secrets and permissions are baked into delivery paths, the organisation inherits them as durable trust artefacts. The implication is clear: pipeline governance is part of API identity governance.

From our research library:

What this signals

API trust perimeter drift: when machine access is treated as infrastructure rather than identity, least privilege becomes inconsistent across the enterprise. The practical signal is not more automation alone, but tighter lifecycle control over who or what can call which system and for how long.

Just-in-time access only works when issuance and revocation are tied to a real trust boundary. If API credentials can survive beyond the task they were created for, the organisation has a governance problem, not a tooling problem.

Identity teams should expect CI/CD and integration workflows to become the main control plane for API governance. That is where hidden secrets, ownership gaps, and unscoped permissions usually enter the environment.


For practitioners

  • Define every API as a governed identity Assign a named owner, purpose, and lifecycle state to each API key, token, and service connection so access can be reviewed and revoked like any other identity.
  • Replace standing API privilege with JIT issuance Scope access to the task, issue credentials only when needed, and revoke them automatically once the operation completes or the trust condition expires.
  • Remove shared secrets from integration paths Eliminate reused keys and untracked service accounts from application and pipeline workflows, then re-issue them through managed lifecycle processes.
  • Embed identity guardrails into CI/CD Add checks in delivery pipelines that block hardcoded secrets, enforce ownership metadata, and prevent uncontrolled promotion of API credentials into production.
  • Monitor API behaviour for trust drift Baseline normal API calling patterns, then alert on access scope expansion, unexpected call paths, or credentials that persist longer than the approved session or task.

Key takeaways

  • APIs create identity risk when they are allowed to operate with implicit, persistent trust outside the normal IAM model.
  • The central evidence is the continued use of shared secrets and long-lived permissions, which keeps access available long after the original need has passed.
  • The control shift is to govern API ownership, lifecycle, and JIT issuance so machine access is temporary, scoped, and revocable.

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 and MITRE ATT&CK address the attack and risk surface, while NIST SP 800-53 Rev 5 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-05 — Overprivileged NHIThe article centres on API identities carrying more access than needed.
NHI-07 — Long-Lived SecretsStatic keys and persistent credentials are the core trust gap described here.
Recommendation — Reduce standing API privilege and scope access to the minimum required task. Rotate API credentials aggressively and eliminate long-lived secret reuse.
NIST SP 800-53 Rev 5IA-5 — Authenticator ManagementAPI keys and tokens need lifecycle management, rotation, and revocation.
Recommendation — Apply IA-5 to manage issuance, rotation, and revocation of API authenticators.
NIST CSF 2.0PR.AA-05 — Access Permissions, Entitlements and AuthorizationsThe article is about controlling API entitlements as governed identities.
Recommendation — Enforce PR.AA-05 by reviewing and limiting API entitlements continuously.
MITRE ATT&CKTA0006;TA0008 — Credential Access; Lateral MovementStolen API credentials can be reused for access expansion and movement.
Recommendation — Map exposed API credentials to TA0006 and TA0008 to prioritise containment.

Key terms

  • API Identity: API identity is the set of credentials and attributes that lets an application, service, or script prove who it is when calling another system. It usually includes keys, tokens, certificates, or signed assertions, and it governs authentication, authorization, rotation, and auditability across machine-to-machine interactions.
  • Just-in-Time Access Request: Just-in-Time Access Request is a pattern that grants access only when it is needed and only for the duration required. It reduces standing privilege by making access temporary, policy driven, and task scoped. This approach is especially useful for contractors, sensitive systems, and short-lived operational work.
  • 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.
  • Machine Identity Governance: Machine Identity Governance is the discipline of controlling how non-human identities are created, used, monitored, and retired. It covers service accounts, API keys, certificates, tokens, workloads, and automation identities, with policies for ownership, lifecycle, least privilege, rotation, attestation, and auditability across cloud, application, and infrastructure environments.

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.
NHIMG Editorial Note
Published by the NHIMG editorial team on June 27, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org