TL;DR: Machine identities now make up a major share of privileged access and often hold permissions equal to or greater than human admins because they authenticate with secrets, tokens, and keys that grow fast and rotate slowly, according to Delinea. That turns machine identity governance into a visibility and control problem, not an inventory exercise.
At a glance
What this is: NHI Mgmt Group's analysis, drawing on Delinea's blog post: Machine identities have become a hidden privileged layer in IAM, and the real gap is governing credentials, ownership, and control rather than simply counting objects.
Why it matters: IAM, PAM, and NHI teams need to treat machine identities as privileged actors because unmanaged secrets, weak rotation, and unclear ownership can widen blast radius across cloud and on-prem environments.
Context
Machine identity governance is the discipline of discovering, understanding, and controlling service accounts, service principals, workload roles, OAuth apps, AI agents, and IAM roles that authenticate and act in production. The problem is not the existence of these identities, but the way their credentials and privileges accumulate faster than teams can see or govern them.
Delinea’s argument is that machine identities have become a privileged access layer that many IAM programmes still treat as a by-product of automation rather than as a governed identity class. That framing matters because the failure mode is not just missing inventory, but unmanaged secrets, unclear ownership, stale access, and privilege creep across cloud and on-prem environments.
For IAM, PAM, and NHI teams, the article is a reminder that machine identity risk is operational, not theoretical. The central challenge is to connect identity creation, permission assignment, and credential storage so that the teams responsible for workloads can still change safely without leaving standing privilege behind.
Key questions
Q: What breaks when machine identity inventory is incomplete?
A: Rotation, revocation, and decommissioning all break down when you cannot see the full population of credentials. Incomplete inventory leaves blind spots for orphaned tokens, duplicated secrets, and over-permissioned accounts. Without visibility, security teams cannot prove ownership or identify which identities still have valid access to production systems.
Q: Why do machine identities create more risk than human identities in some environments?
A: Machine identities are often numerous, long-lived, and embedded in code or infrastructure. They are harder to review manually, easier to overlook during offboarding, and more likely to carry excessive privilege. That combination increases blast radius when a secret or token is exposed.
Q: What are the signs that machine identity controls are failing in a cloud environment?
A: Machine identity controls are likely failing when teams find unexplained API access, stale secrets that remain valid for long periods, or accounts that were never challenged with MFA. Another warning sign is excessive reliance on shared or static credentials across workloads. Those patterns show that access is not tied to a specific machine, session, or business need.
Q: How do teams reduce risk from machine identities in cloud environments?
A: Start with inventory, because you cannot govern what you cannot see. Then remove default credentials, shorten token lifetimes, restrict privileges to the task at hand and monitor for unusual use patterns. Machine identities should be treated as production assets with owners, scope limits and lifecycle controls.
Technical breakdown
Why machine identities become privileged by default
Machine identities are created to let software authenticate and act without a person in the loop. Because they support integrations, workloads, and automation, they often accumulate broad entitlements, especially when teams reuse credentials, grant access early, and postpone cleanup. The result is a privileged layer that behaves like users in the environment but is managed more like infrastructure. Once access keys, tokens, certificates, and secrets become scattered across cloud stores, code, and vaults, the control problem shifts from login events to credential lifecycle and scope management.
Practical implication: map machine identity privileges to the workload they actually support, then review whether those permissions still match current function.
Why visibility has to include credentials and dependencies
An inventory of identities alone is not enough because the risk lives in the credentials and the systems that depend on them. A service account may look inactive until a scheduled task, IIS service, or application starts using it again. That is why operational context matters: ownership, dependency mapping, last use, and storage location determine whether a credential can be rotated, vaulted, or retired safely. Without that context, teams either leave risky credentials in place or break production by changing them blindly.
Practical implication: build a machine identity inventory that links each identity to its secrets, owners, usage patterns, and dependent workloads.
How posture checks expose the highest-risk machine identities
The most useful checks are the ones that point directly to remediation. High-privilege and shadow machine identities matter because they create the biggest blast radius if compromised. Stale, unvaulted, and non-rotated credentials matter because they are harder to audit, easier to overlook, and more likely to remain exploitable. This is an identity governance problem as much as a security problem: the programme has to identify which machine identities are over-permissioned, which are no longer needed, and which are still protected by long-lived secrets.
Practical implication: prioritise posture rules that flag stale, unvaulted, overprivileged, and non-rotated machine credentials before broader hygiene work.
Threat narrative
Attacker objective: The objective is to turn one poorly governed machine identity into broad, reusable privileged access across the environment.
- Entry begins when an attacker or misuse path reaches a machine identity through exposed secrets, tokens, keys, or poorly governed access paths.
- Credential access follows when that identity’s long-lived credentials or broad entitlements are reused, shared, or discovered in locations the team does not monitor closely.
- Escalation occurs when the compromised machine identity already carries high privilege or can reach additional systems, expanding the blast radius beyond the original workload.
- Impact is realised when the attacker uses that standing access to move across cloud or on-prem environments, read sensitive data, or alter systems at scale.
Breaches seen in the wild
- Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.
- BeyondTrust breach 2024: A stolen BeyondTrust Remote Support API key let a China state-sponsored actor reset accounts and reach US Treasury workstations in 2024.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Machine identity governance is now a privileged access problem, not an inventory problem: once service accounts, workload roles, and OAuth apps start carrying admin-level access, the question is no longer how many exist but which ones can do damage. The article shows why visibility, ownership, and credential control have to sit together or the governance model fragments. Practitioners should treat machine identity sprawl as a PAM issue with NHI characteristics.
Credential location is the real control boundary for machine identities: access keys, secrets, certificates, and tokens are the operational artefacts that decide whether the identity can be governed at all. When those credentials live in cloud stores, code, pipelines, and local configs, policy loses practical reach. The implication is that machine identity control starts where the secret lives, not where the workload is labelled.
High privilege plus non-interactivity creates an identity blast radius: machine identities often act faster than humans, with broader entitlements and fewer natural review points. That combination means compromise spreads through systems before traditional governance cycles can intervene. This is why the programme has to reduce standing privilege and shorten the time credentials remain usable.
Operational context is the differentiator between safe remediation and outage: machine identities tie into live workloads, so governance that ignores dependencies will either stall or break production. The article’s emphasis on dependency mapping is a reminder that lifecycle control must be aligned to service reality. Teams that cannot explain what depends on a credential cannot safely retire it.
Privilege creep in machine identities is a structural failure of IAM assumptions: the assumption that access can be reviewed after it is granted was designed for environments where change is slow enough to observe. Machine identities accumulate access continuously and often invisibly, so the review window closes before governance catches up. The implication is that entitlement control must move earlier in the lifecycle and closer to issuance.
From our research library:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
- Read next: Ultimate Guide to NHIs — Key Research and Survey Results
What this signals
Machine identity blast radius: The governance problem is not simply how many machine identities exist, but how much damage they can do once their credentials drift out of control. Teams need to shift from periodic inventory checks to credential-centric governance, because the risk sits in what the identity can still reach.
The programme signal to watch is whether security can explain ownership, dependency, and storage location for every high-impact machine credential. When that answer is missing, vaulting and rotation become partial controls rather than durable governance.
For practitioners
- Map machine identities to their secrets and dependents Build a living inventory that links each service account, workload role, app registration, and OAuth app to the keys, tokens, certificates, and workloads it uses. Without dependency mapping, you cannot rotate or retire access safely.
- Prioritise high-blast-radius identities first Start with administrative, shadow, stale, unvaulted, and non-rotated machine identities because those are the ones most likely to turn compromise into environment-wide impact.
- Centralise credential storage and governance Vault machine identity credentials where possible so access can be audited, rotated, and disabled from a known control point instead of scattered across cloud stores, pipelines, code, and local files.
- Rotate and retire only with dependency validation Use contextual checks to confirm what a credential supports before rotation or disablement, then retire stale access in controlled steps so production workloads keep running.
- Route ownership to workload teams Assign remediation to the teams that understand the dependent service, then keep security as the control plane for policy, posture, and approval tracking.
Key takeaways
- Machine identities have become a privileged layer in modern environments, and their risk comes from standing access, long-lived secrets, and unclear ownership.
- The article’s core evidence is that machine identities can hold permissions equal to or greater than human admins while remaining hard to see and harder to govern.
- The practical response is to govern credentials, not just identities, by linking each machine account to its secrets, dependencies, and safe remediation path.
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, CIS Controls v8 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 centers on machine identities carrying rights equal to or above human admins. |
| NHI-07 — Long-Lived Secrets | The post repeatedly warns about keys, tokens, and secrets that rotate rarely and live too long. | |
| NHI-03 — Vulnerable Third-Party NHI | OAuth apps and other external machine identities are part of the exposure surface discussed. | |
| Recommendation — Reduce standing access by reviewing machine identity permissions against current workload need. Inventory long-lived machine secrets and shorten their usable lifetime wherever possible. Assess third-party and federated machine identities for ownership, scope, and dependency risk. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | The article is fundamentally about managing secrets, tokens, and other authenticators for machine identities. |
| Recommendation — Apply IA-5 to govern machine credential issuance, rotation, and retirement. | ||
| CIS Controls v8 | CIS-5 — Account Management | Machine identities are accounts that need lifecycle oversight, not just discovery. |
| Recommendation — Use account management controls to track, review, and retire machine identities with stale access. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | The article describes how exposed machine credentials can expand access across systems. |
| Recommendation — Map exposed machine credentials to TA0006 and TA0008 to prioritize containment and hunting. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The piece is about entitlement drift and excessive access for non-human identities. |
| Recommendation — Review machine entitlements against PR.AA-05 and remove access that exceeds current function. | ||
Key terms
- 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.
- 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.
- Credential Sprawl: Credential sprawl is the uncontrolled accumulation of machine secrets, keys, and tokens across systems, teams, and environments. It usually starts with a single use case and ends with overlapping permissions, unclear ownership, and a larger attack surface than the organisation expected.
- Privilege Creep: Privilege creep is the gradual accumulation of access rights beyond what an identity actually needs. It usually happens when permissions are added for convenience and never removed. For NHIs, privilege creep expands blast radius and makes old credentials far more dangerous than their original purpose suggests.
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 24, 2026.
Updated on October 11, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org