TL;DR: Machine identities now outnumber human users by more than 80:1 in enterprise cloud environments, and Apono argues that traditional IAM platforms still focus on people rather than the service accounts, APIs, bots, and AI-driven workloads that now shape access risk. The governance gap is structural: standing privilege, secret sprawl, and lifecycle blind spots persist because existing programmes were not built for non-human scale.
At a glance
What this is: This is a vendor analysis of top NHI management tool categories and the control shifts required as machine identities scale faster than human identity governance.
Why it matters: It matters because IAM, PAM, and cloud security teams need to govern non-human access as a primary attack surface, not as a by-product of user-centric identity programmes.
By the numbers:
- Non-human identities now outnumber human users by more than 80:1 across enterprise cloud environments.
Context
NHI management tools address a basic governance problem: machines, services, bots, APIs, and automated workflows all need access, but most identity programmes were built around human users. In AI-heavy environments, that mismatch becomes operationally visible because access is created, used, and forgotten faster than teams can review it.
The article frames the issue as a scale and control problem, not a tooling fashion cycle. Once non-human identities outnumber people by a wide margin, the real question is whether organisations can still enforce least privilege, lifecycle control, and auditability when the identity subject is a workload rather than a person.
The article's starting position is typical for the current market: most enterprises now have more machine identities than human ones, but governance maturity has not caught up. That makes the analysis relevant to NHI, workload identity, and AI-adjacent automation governance alike.
Key questions
Q: How should security teams reduce standing access across users and non-human identities?
A: Security teams should reduce standing access by combining least privilege, time-bound entitlements, and automated revocation. Persistent permissions should be reserved for a small set of stable administrative functions. For service accounts, API keys, and agents, the safest pattern is short-lived access linked to a specific task or workload, with logging that proves when access was issued and removed.
Q: Why do over-privileged machine identities undermine cloud security programmes?
A: Because machine identities often bridge the gap between storage, orchestration, and runtime. When service accounts or cloud roles carry excess privilege, a single compromise can expand into lateral movement, privilege escalation, and exfiltration across environments that were supposed to be segmented.
Q: What are the signs that NHI governance is failing in an enterprise?
A: Common warning signs include unclear ownership for service accounts, secrets stored in code or configuration instead of managed vaults, infrequent rotation, and weak offboarding of API keys. Other red flags are excessive permissions, third-party exposure without controls, and low visibility into where non-human identities exist or how they are used across the stack.
Q: Should organisations use just-in-time access for machine identities?
A: Yes, when the task is time-bound and the access can be cleanly scoped. Just-in-time access reduces standing privilege, but only if the organisation can automate approval, expiry, and revocation. It works best for administrative workflows and high-risk actions, not for every always-on service dependency.
Technical breakdown
Why standing privilege is the default failure mode for NHIs
Non-human identities often receive standing access because they are provisioned to keep systems running, not to support a person-driven approval cycle. That creates a persistent trust window around API keys, service accounts, and automation scripts that can be reused long after the original need has passed. In practice, the problem is not only credential sprawl but also access scope that remains broader than the task requires. The article's core technical point is that static permission models do not scale when identities are created and consumed continuously across cloud and CI/CD environments.
Practical implication: Treat standing privilege as the control defect to remove first, not as an acceptable baseline for machine access.
How NHI tools change credential lifecycle management
NHI management tools focus on discovering, rotating, revoking, and auditing the secrets and certificates that machine identities use to authenticate. That lifecycle view matters because hardcoded secrets, expired tokens, and orphaned certificates behave differently from human credentials: they can be embedded in code, inherited across pipelines, or left active after the owning system changes. The article also points to programmatic rotation and dynamic access adjustment as the mechanism for reducing blast radius. In other words, the control objective shifts from protecting a password to governing an entire credential lifecycle.
Practical implication: Build rotation and revocation into the identity lifecycle itself, rather than relying on periodic cleanup after exposure is detected.
Why visibility and policy automation are now inseparable
The article groups visibility, access governance, and anomaly detection together because NHI scale makes manual review ineffective. Continuous discovery tells teams what identities exist, policy automation constrains what they can do, and monitoring surfaces over-privilege or suspicious usage. That combination is especially important in cloud-native estates where service accounts, microservices, and AI-related processes can appear and disappear rapidly. The technical lesson is that inventory alone does not reduce risk, and policy alone cannot govern identities you cannot see.
Practical implication: Use continuous discovery and automated enforcement together, or the NHI programme will fail at either inventory or control.
Threat narrative
Attacker objective: Exploit machine credentials and over-privileged non-human identities to move through cloud environments and reach data or services that should not have been exposed.
- Entry occurs when leaked credentials, hardcoded secrets, or misconfigured policies expose a machine identity to an attacker.
- Credential access follows because API keys, tokens, and certificates can be reused outside the task or pipeline that created them.
- Privilege escalation and lateral movement become possible when standing access and over-privileged machine identities let the attacker reach additional cloud resources.
- Impact is achieved through data access, service abuse, or broader cloud compromise enabled by the compromised non-human identity.
Breaches seen in the wild
- Dropbox Sign breach 2024: A compromised back-end service account gave attackers Dropbox Sign customer data, including API keys, OAuth tokens and MFA information.
- Hugging Face Spaces breach 2024: Unauthorised access to Hugging Face Spaces may have exposed secrets users stored for AI apps; tokens were revoked and org tokens removed.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Standing access is the central NHI governance anti-pattern. The article is effectively a catalogue of why persistent permissions fail when identities are machine-speed rather than human-speed. Access that was acceptable for a short deployment window becomes a standing risk when service accounts, bots, and APIs remain live far beyond the task. The practitioner implication is that NHI governance must be built around expiration, not permanence.
Secret sprawl is now an identity problem, not just a vault problem. The article ties credential management to discovery, rotation, and revocation because secrets become governance failures when they are duplicated across code, cloud, and automation layers. That means ownership, inventory, and lifecycle enforcement matter as much as storage. The practitioner implication is to treat exposed or stale secrets as unmanaged identities, not isolated artifacts.
Dynamic access policy is the only control model that fits machine scale. The article's JIT and least-privilege sections point to a structural truth: non-human access must be issued for the task, the context, and then removed. Static PAM thinking cannot keep pace with API-driven software delivery and autonomous workflows. The practitioner implication is to align access governance with runtime demand rather than provisioning-time assumptions.
Machine identity governance now sits at the intersection of cloud, DevOps, and AI operations. The article connects CI/CD, cloud platforms, and AI-driven workflows because identity boundaries now cross those domains continuously. That makes the governance challenge broader than any single tool category, but the named concept is clear: identity blast radius grows whenever credentials outlive the workflow that needs them. The practitioner implication is to reduce that blast radius through tighter scope, shorter duration, and better discovery.
NHI programmes are becoming the proving ground for zero trust in practice. The article links NHI controls to zero trust because machine access only becomes governable when every request is contextual, short-lived, and continuously evaluated. Broad policy claims do not matter if service identities can still operate with persistent trust. The practitioner implication is to measure whether zero-trust principles are actually enforced on non-human access, not just on human logins.
From our research library:
- The 2025 Gartner Machine Identity Management in a Hybrid, Automated AI World Survey showed that 32% of organizations use mostly automated methods to manage credentials and only 1% use fully automated methods.
- Read next: Ultimate Guide to NHIs
What this signals
Identity blast radius: The practical measure of NHI risk is no longer just how many credentials exist, but how far any single credential can reach if it is reused, leaked, or left standing. Programmes that still separate cloud access, secrets handling, and privilege review will miss the compound effect of machine scale.
Access governance has to move upstream into issuance and runtime, because service accounts and automation identities do not fit review cycles designed for people. The right control question is not whether an entitlement exists, but whether it can survive long enough to become a reusable attack path.
For practitioners
- Inventory every non-human identity Discover service accounts, API keys, tokens, certificates, and automation identities across cloud and CI/CD systems before enforcing policy.
- Eliminate standing access for machine identities Convert persistent permissions into time-bound access that expires when the task or workflow ends, especially for cloud and SaaS resources.
- Automate secrets rotation and revocation Rotate hardcoded or exposed credentials continuously and revoke orphaned secrets as soon as they are found in code or logs.
- Separate discovery from enforcement Use one control layer to find over-privileged or stale non-human identities and another to enforce least privilege in real time.
- Extend governance into AI-driven workflows Treat AI-created service identities and automation scripts as governed assets, with the same lifecycle, approval, and audit requirements as other machine identities.
Key takeaways
- The article's central warning is that machine identities have outgrown human-centric IAM models, leaving standing privilege and lifecycle gaps across cloud and DevOps environments.
- The scale problem is now explicit, with non-human identities outnumbering human users by more than 80:1 in enterprise cloud environments.
- Reducing exposure depends on discovery, short-lived access, and automated revocation, not on extending user-first IAM processes to machines unchanged.
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 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-05 — Overprivileged NHI | The article centres on excess permissions for service accounts, APIs, and machine workflows. |
| NHI-07 — Long-Lived Secrets | It highlights stale keys, tokens, and certificates that stay active across cloud and CI/CD environments. | |
| NHI-02 — Secret Leakage | The article explicitly discusses hardcoded secrets and exposed credentials in source control. | |
| Recommendation — Reduce machine access scope to the minimum required for the task and remove persistent privilege. Shorten credential lifetime and automate rotation for every non-human identity secret. Scan code, logs, and pipelines for leaked secrets and revoke any exposed non-human credential immediately. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The piece is fundamentally about governing non-human entitlements and access scope. |
| Recommendation — Apply entitlement controls that continuously limit and validate machine access against business need. | ||
| CIS Controls v8 | CIS-5 — Account Management | Managing service accounts and machine identities is an account lifecycle problem. |
| Recommendation — Track, review, and remove dormant or excessive machine accounts and credentials on a continuous basis. | ||
| MITRE ATT&CK | TA0006; TA0008 — Credential Access; Lateral Movement | The article discusses leaked credentials and the lateral movement enabled by over-privileged machine identities. |
| Recommendation — Map exposed machine credentials to credential-access and lateral-movement detections in your threat hunting. | ||
Key terms
- Non-Human Identity Management: Non-Human Identity Management is the discipline of discovering, governing, securing, and retiring identities used by machines, software, and autonomous systems. It covers service accounts, API keys, tokens, certificates, workloads, and AI agents, with controls for lifecycle, ownership, least privilege, authentication, authorization, monitoring, and revocation across 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.
- Secrets Lifecycle: Secrets lifecycle is the management of credentials from issuance through rotation, revocation, and offboarding. It matters because a secret that is technically valid can still be operationally unsafe if its owner, purpose, or downstream access paths are no longer current.
- 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.
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 responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.
Published by the NHIMG editorial team on June 24, 2026.
Updated on October 6, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org