TL;DR: Akeyless argues that machine identities now outnumber humans by orders of magnitude, and that APIs, tokens and keys cannot be governed safely with blanket permissions or infrequent revocation alone. The shift is toward action-based authentication, just-in-time access and tighter API validation as baseline controls, not optional hardening.
At a glance
What this is: This fireside chat argues that machine identity scale is making blanket permissions untenable and pushing teams toward action-based authentication for APIs, tokens and keys.
Why it matters: IAM, PAM and platform teams need to treat machine access as a high-volume governance problem because standing access and weak API validation expand blast radius across modern environments.
👉 Read Akeyless’s discussion of machine identity scale and action-based authentication
Context
Machine identity governance is now a scale problem, not just an authentication problem. When every API, service and workload needs its own access path, the old assumption that permissions can be granted broadly and cleaned up later stops holding.
The article ties that pressure to two failure modes security teams already know well: access that is granted and never revoked, and APIs that are trusted too much once valid credentials exist. That combination turns identity handling into a continuous control problem across NHI, platform and application teams.
Key questions
Q: What breaks when a machine identity has more access than it needs?
A: Overprivileged machine identities turn a single credential compromise into lateral movement, data access, and configuration change. The failure is not only exposure but inherited reach. Once an attacker uses that credential, the damage depends on how far the identity can move across systems, so entitlement scope becomes the core control boundary.
Q: How should privacy teams implement CPRA controls in cloud and API environments?
A: Start by mapping where personal and sensitive personal information actually moves, then enforce purpose-based access and traceable rights workflows across those paths. Cloud and API environments change quickly, so static records are insufficient. The control objective is to prove that collection, use, sharing, deletion, and restriction all match current production behaviour.
Q: How do security teams know whether machine identity governance is working?
A: They know it is working when every non-human credential has a named owner, a visible system scope, and a documented retirement path. If access reviews cannot answer when the identity was last used or why it still exists, governance is only partial. High confidence comes from evidence of cleanup, not just policy coverage.
Q: What is the difference between action-based authentication and traditional machine access control?
A: Traditional machine access control usually authenticates the identity once and then trusts the resulting session or token for multiple actions. Action-based authentication re-checks whether the specific operation is allowed at the moment it is attempted, which reduces reuse of overbroad credentials.
Technical breakdown
Why blanket permissions fail at machine scale
Machine identities are not scarce, human-paced accounts. They exist in large numbers, often across CI/CD, cloud services and API integrations, and they authenticate far more frequently than human users. That scale makes coarse permission sets brittle because one entitlement decision can affect thousands of repeated actions. The article’s core point is that machine access has to be judged by the action being taken, not by a one-time grant that remains valid for long periods. In identity terms, the control boundary moves from provisioning to execution.
Practical implication: Treat machine access as an action-level authorisation problem, not a static account-management exercise.
Action-based authentication for APIs and service access
Action-based authentication means the machine proves it should perform a specific operation at the moment of execution. That is different from issuing a token once and assuming everything done with it is acceptable until expiry. For APIs, this reduces the risk that a stolen or overbroad credential can be reused across unrelated functions. It also aligns with contextual validation patterns already familiar in human IAM, but applies them to non-human actors that operate at much higher volume and speed.
Practical implication: Design API and workload controls to authenticate each sensitive action, not just the identity at session start.
Why revocation and validation matter more than trust in the credential
The article connects recent breaches to compromised identity and API weakness, which is the practical warning here. If access is not revoked when it is no longer needed, stale permissions linger. If APIs do not validate requests properly, valid credentials can still be used to reach the wrong data or function. The real risk is not only stolen secrets but the assumption that a valid credential automatically means a valid action. That assumption breaks quickly once identity sprawl and automation are involved.
Practical implication: Pair frequent credential revocation with strong API request validation so validity does not become a proxy for trust.
Threat narrative
Attacker objective: The attacker seeks to turn valid identity access into unauthorized data access or workflow abuse across APIs and services.
- Entry begins when attackers obtain valid identity material, such as stolen credentials or reusable machine secrets.
- Escalation occurs when those credentials are accepted across APIs or services with overly broad permissions.
- Impact follows when validated access is used to exfiltrate data or bypass intended security checks through weak API controls.
Breaches seen in the wild
- Meta Muse agent hijack 2026: An undocumented Muse setting let local malware hijack Meta's personal AI agent, steal its authentication material and abuse user access.
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
Action-based authentication is the right response to machine identity scale because static grants no longer match machine behaviour. When APIs, services and automation platforms operate continuously, a permission model built around one-time issuance becomes too coarse to govern safely. The practitioner takeaway is that access decisions must move closer to the moment of execution, where intent and scope are still observable.
Standing access is the failure mode most machine identity programmes still under-estimate. The article’s access-management example is important because forgotten revocation is not an edge case, it is the normal way privilege creeps in. Once machine access is granted broadly, every downstream API call inherits that original governance mistake.
Machine identity scale creates an identity blast radius problem, not just an authentication problem. Each token, key or service account can amplify the effect of one misconfiguration across many calls and systems. Identity blast radius: the spread of damage that follows from a single overbroad or compromised machine credential. Security leaders should judge controls by how much downstream action one identity can unlock.
API validation now sits inside identity governance, not outside it. The article correctly links identity compromise with API abuse because an authenticated request is only safe if the action itself is authorised and checked. That means governance teams have to treat API policy, revocation and entitlement scope as one control surface.
Cross-functional ownership is becoming mandatory for machine identity governance. The discussion shows that secure outcomes depend on security teams understanding developer workflows and build pipelines, not simply issuing policies from the side. The implication is that machine identity control breaks when it is separated from how software is actually built and deployed.
From our research library:
- 69% of security leaders agree identity management must fundamentally shift to address agentic AI systems, according to the 2026 Infrastructure Identity Survey.
- Read next: NHI Authentication Guide
What this signals
Action-based authentication is a governance shift, not just a technical pattern. Machine identity programmes built around long-lived access grants will keep leaking risk into APIs, pipelines and service-to-service calls until entitlement decisions are tied to discrete actions. Teams should expect review, revocation and validation to converge into one workflow rather than remain separate controls.
The operating model also changes for IAM and PAM teams. When machines outnumber humans by orders of magnitude, the control objective is no longer simply to issue credentials safely but to prevent any credential from becoming a reusable blanket permission across systems.
Identity blast radius: the real metric to watch is how much downstream work one machine identity can unlock if it is compromised or over-scoped. The smaller that blast radius, the more credible the programme.
For practitioners
- Map machine identity scope to specific actions Inventory which service accounts, API keys and tokens are allowed to do which operations, then remove broad entitlements that are not tied to a named business action.
- Replace blanket permissions with just-in-time access Use ephemeral access for high-risk machine operations so credentials are not permanently available for reuse across unrelated workflows.
- Tighten API request validation Check that every privileged API call is authorised for the exact object, function and context it is attempting to reach, not just for the identity that submitted it.
- Automate revocation when machine access changes Tie offboarding and rotation to workload changes, repository changes and pipeline changes so stale machine credentials do not survive past their intended purpose.
Key takeaways
- Machine identity scale makes broad, persistent permissions unsafe because one credential can govern too many repeated actions across APIs and services.
- The main failure is not only credential theft but credential reuse across workflows that were never meant to share trust.
- Teams should narrow scope, shorten access duration and validate each sensitive API action to reduce blast radius.
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, OWASP API Security Top 10 and MITRE ATT&CK address the attack and risk surface, while NIST CSF 2.0 sets 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 broad machine permissions and standing access across APIs. |
| NHI-07 — Long-Lived Secrets | The article recommends rotation and just-in-time access instead of durable machine credentials. | |
| Recommendation — Reduce machine identity blast radius by narrowing NHI privileges to the exact actions each workload performs. Shorten secret lifetime and replace persistent machine credentials with ephemeral access where possible. | ||
| OWASP API Security Top 10 | API2 — Broken Authentication | The piece links compromised identities to API abuse when validation is weak or overly trusting. |
| Recommendation — Strengthen API authentication so valid credentials cannot be reused to reach unauthorised functions. | ||
| MITRE ATT&CK | TA0006;TA0010 — Credential Access; Exfiltration | The breach pattern described begins with credential compromise and ends in data access through APIs. |
| Recommendation — Map exposed machine credentials to TA0006 and watch for exfiltration paths that follow valid identity use. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is fundamentally about right-sizing entitlements for non-human identities and services. |
| Recommendation — Apply entitlement governance to machine identities so permissions match the action and context of use. | ||
Key terms
- Action-Based Authentication: Action-based authentication is a control model that validates a specific operation at the moment it is attempted, rather than trusting a credential for broad ongoing use. For machine identities, it reduces abuse by tying permission to the exact API call or workflow step being executed.
- Identity Blast Radius: The amount of damage a compromised identity can cause across systems, data, and infrastructure. In NHI environments, it is shaped by permissions, network reach, and administrative capability rather than by the credential alone. Reducing blast radius is a containment strategy that limits lateral movement and data exposure.
- Standing Access: Standing access is persistent privilege that remains available without fresh approval or contextual checks. In NHI environments, standing access usually appears as long-lived tokens, reusable service accounts, or broad roles attached to automation. It is convenient operationally, but it expands risk when conditions change or secrets leak.
- Machine Identity: The digital identity of a machine, device, or workload, such as a server, container, or VM, used to authenticate it within a network. Sometimes used interchangeably with NHI, though NHI is the broader category.
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- The interview context with Adam Arellano’s security career background and how it shapes his view of identity governance
- The discussion of how security and development teams should collaborate around CI/CD pipelines and key management systems
- The article’s plain-language examples of revocation, validation and workflow simplification for practitioners
- The closing vendor perspective on simplifying tool sprawl and unifying secrets and machine identity management
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 August 17, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org