TL;DR: Akeyless argues that AI-driven systems operating across cloud, data and SaaS are exposing the limits of static credentials and standing privilege, because traditional IAM, PAM and secrets management were built for slower, human-paced access decisions. Ephemeral, task-scoped access becomes the governing model when identity must be verified at the moment of action, not assumed in advance.
At a glance
What this is: This article frames zero standing privilege and just-in-time access as the access model needed for AI-driven systems that act in real time across cloud, data and SaaS.
Why it matters: It matters because IAM and PAM programmes now have to govern identities that request and discard access inside a task, not identities that hold stable permissions long enough for periodic review.
👉 Read Akeyless's analysis of zero standing privileges and JIT access for AI-driven identity
Context
AI-driven systems are changing identity governance because they do not just authenticate, they execute. When an agent or workflow can query data, trigger automation, and modify infrastructure in real time, access controls built around long-lived credentials and static roles stop matching how the actor behaves.
Zero standing privilege, or ZSP, treats access as something that should not persist between actions. Just-in-time, or JIT, access is the enforcement mechanism that creates temporary permissions for a specific task and then removes them immediately, which is the core shift this article argues for.
That shift is directly relevant to NHI governance because API keys, service accounts, and tokens are the identities most often embedded in automation paths. The article’s starting point is typical for modern automation estates: access sprawl accumulates faster than ownership and lifecycle controls can track it.
Key questions
Q: What breaks when standing privilege is left in place for AI-driven systems?
A: Standing privilege breaks the basic assumption that access can be reviewed before it is used. AI-driven systems can act, chain actions, and complete work within the same runtime window, so durable entitlements create unnecessary exposure and remove the ability to evaluate intent at execution time.
Q: Why do static credentials increase risk in autonomous attack scenarios?
A: Static credentials create durable reuse opportunities. Once compromised, they let an attacker or automated system return repeatedly, move laterally, and reuse trust across many services. Short-lived credentials and explicit expiry reduce that window and make access harder to monetise at machine speed.
Q: How do you know if JIT access is actually working?
A: Look for short-lived sessions, complete approval records, and reliable revocation evidence. If developers still retain access after the task is complete, or if sessions cannot be tied back to a reason and owner, the model is not functioning as intended. Working JIT should leave a clear and complete audit trail.
A: Organisations should prioritise zero standing privilege whenever secrets support sensitive systems, shared infrastructure, or elevated workflows. Persistent access creates unnecessary exposure because a leaked credential remains usable until someone notices. Just-in-time access lowers that risk by ensuring access exists only for the task at hand, which also simplifies revocation and incident response.
Technical breakdown
Why static credentials fail in AI-driven access paths
Static credentials such as API keys, service accounts, and long-lived tokens create a persistent trust path that outlives the task they were meant to support. In AI-driven systems, that is especially dangerous because execution can be chained, fast, and context-sensitive. Traditional IAM and PAM assume the access decision is made once and remains stable; autonomous or semi-autonomous workflows turn that into a moving target. The result is not only exposure if a secret leaks, but also weak governance because the system cannot distinguish between valid identity and valid intent at runtime.
Practical implication: treat long-lived machine credentials as an architectural defect, not just a secret rotation problem.
How ZSP and JIT change authorisation timing
Zero standing privilege removes inherent access and replaces it with on-demand authorisation. JIT access is the delivery mechanism: the system generates a temporary credential or ephemeral identity only when a request is approved, scopes it to a task, and revokes it immediately after use. That changes the security control point from review time to issuance time. For AI-driven workloads, this is the important distinction because access may exist for seconds, not long enough to be meaningfully governed by periodic certification or manual exception handling.
Practical implication: move approval, scoping, and revocation logic into the access issuance path rather than relying on after-the-fact recertification.
Why context and intent matter more than role alone
Role-based access control can tell you whether an identity is broadly allowed to reach a system, but it cannot determine whether the action is appropriate for this moment. The article’s central claim is that modern systems need contextual authorisation because AI-driven actions are dynamic and often operationally autonomous. That makes access decisions closer to policy evaluation than to simple entitlement assignment. In practice, the trust boundary shifts from who owns the identity to what task is being executed, in which environment, and for how long.
Practical implication: pair identity with task context, runtime conditions, and short TTLs if you want meaningful least privilege.
Threat narrative
Attacker objective: The objective is to exploit always-on access paths to reach sensitive systems and data without needing to bypass stronger primary controls.
- Entry occurs through static credentials, long-lived tokens, or broad OAuth grants that remain valid long after their original purpose has passed.
- Credential abuse follows when those persistent permissions are reused or exploited in automation, allowing access without any fresh human review.
- Impact is the expansion of blast radius across cloud, data, and SaaS systems because one compromised identity can repeatedly act with standing access.
Breaches seen in the wild
- Microsoft SAS token exposure 2023: An over-permissive Azure SAS token in a Microsoft AI GitHub repo exposed 38TB, including workstation backups and Teams messages, for 3 years.
- 12,000 secrets in LLM training data: Truffle Security found 11,908 live API keys and passwords hard-coded in web pages captured by Common Crawl, a dataset used to train LLMs.
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
Persistent machine access is the wrong governance primitive for AI-driven systems. The article makes clear that static credentials, standing privilege, and role-only controls were designed for slower access patterns. When systems act in real time and without direct human oversight, the control problem shifts from holding access to time-boxing it. Practitioners should treat this as a structural mismatch, not a tuning issue.
Zero standing privilege is not just stricter PAM, it is a different assumption about identity. Standing privilege assumes access can exist in a stable state and still be meaningful when reviewed later. That assumption weakens when AI-driven workflows acquire permissions, complete a task, and exit before a recertification cycle ever sees them. The implication is that governance has to move from periodic validation to issuance-time control.
Ephemeral credential trust debt is now a material risk. Once teams embed reusable secrets into automation, they create hidden liabilities that accumulate across repositories, pipelines, and runtime environments. The longer those credentials persist, the more the environment depends on trust that no longer matches operational reality. Practitioners should view every persistent secret as deferred governance debt.
Identity is becoming the control plane for machine action. The article correctly links ZSP and JIT to zero-trust thinking because access is no longer a static entitlement but a contextual decision. That matters across NHI, automation, and agentic workflows because the same governance gap appears wherever an identity can act faster than a human can review it. Security teams should align access policy, lifecycle control, and runtime authorisation around that fact.
Task-scoped authorisation is now the boundary condition for modern least privilege. Least privilege can no longer be defined only at provisioning time when the actor can select and sequence actions dynamically. For AI-driven environments, the real question is whether a specific action should be allowed right now, under this context, for this duration. Practitioners should redesign controls around that moment of decision.
From our research library:
- 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, according to the 2026 Infrastructure Identity Survey.
- Organisations that rely heavily on static credentials reported a 20-percentage-point increase in security incidents compared with those with low reliance, according to the 2026 Infrastructure Identity Survey.
- Read next: Just-in-Time Access and Zero Standing Privilege Guide
What this signals
Task-scoped access is becoming the practical boundary for least privilege. Access reviews assume a privilege lasts long enough to be certified, but AI-driven workflows can request and release credentials inside a single execution window. That means governance has to move closer to issuance, with short-lived permissions and explicit task context taking precedence over broad standing grants.
Ephemeral credential trust debt: every reusable secret embedded into automation carries forward unresolved access risk into later workflows. The programme implication is straightforward: identity teams should inventory where access is still persistent, then redesign those paths so the credential disappears with the task, not after the next audit cycle.
For practitioners
- Enforce task-scoped credential issuance Issue access only for the specific action being executed, bind it to a narrow TTL, and revoke it automatically when the task completes.
- Eliminate embedded static secrets Remove API keys, service account passwords, and long-lived tokens from code, pipelines, and runtime environments where AI-driven workflows can reuse them.
- Move policy checks to issuance time Evaluate the request, context, and expected action before credentials are created instead of relying on later certification of standing access.
- Map autonomous workflows to identity owners Assign clear ownership for each automated path so that every machine or agent identity has a lifecycle, an accountable steward, and a revocation path.
Key takeaways
- AI-driven systems expose the limits of persistent credentials because they act faster, across more systems, and with less human oversight than traditional IAM models assumed.
- The article links that risk to standing privilege, static secrets, and broad permissions that enlarge blast radius when identities are reused in automation.
- ZSP and JIT matter because they shift control to the moment of access, which is where modern identity governance now has to operate.
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.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | The article centres on standing privilege and excessive permissions for machine identities and AI-driven systems. |
| NHI-07 — Long-Lived Secrets | Static credentials and long-lived tokens are the core risk the article says ZSP and JIT must replace. | |
| Recommendation — Reduce persistent entitlements and scope machine access to the smallest task-specific permission set. Replace long-lived secrets with short-lived credentials that expire with the task. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | IA-5 directly covers credential lifecycle, rotation, and revocation for the secrets discussed in the article. |
| Recommendation — Apply authenticator management controls to limit lifetime and reuse of machine credentials. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is about shaping access permissions around context, time, and purpose. |
| Recommendation — Continuously constrain entitlements so access exists only for an approved action window. | ||
| MITRE ATT&CK | TA0006; TA0008 — Credential Access; Lateral Movement | Persistent credentials and over-permissive access are the threat conditions that enable downstream abuse and spread. |
| Recommendation — Map standing-access exposure to credential access and lateral movement risks in your detection and hunt workflows. | ||
Key terms
- Zero Standing Privileges (ZSP): A security posture where no identity, human or non-human, holds persistent access rights. Access is provisioned dynamically on demand and automatically revoked after use. ZSP is the gold standard for NHI access control.
- 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.
- Dynamic Ephemeral Identity: Dynamic Ephemeral Identity is a model in which credentials or authority exist only for a short operational window and are generated at runtime. It reduces the value of exposed secrets, but only if the environment can also limit what the identity is allowed to do while active.
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- How its access broker enforces dynamic issuance and automatic revocation for AI-driven workflows
- The article's step-by-step explanation of ZSP and JIT enforcement across cloud, data, and SaaS
- The breach example showing how persistent OAuth access created exposure in a real environment
- The article's discussion of how to centralise policy control without exposing credentials to applications
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 23, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org