TL;DR: Non-human identity attacks are increasingly used to compromise software supply chains, with examples including service account abuse, stolen tokens, exposed SAS keys, and OAuth phishing across major environments, according to Entro Security. Human IAM controls are necessary but insufficient when machine credentials carry broad, persistent access across build and deployment paths.
At a glance
What this is: This is an analysis of how non-human identities are being used as the preferred attack path in software supply chain compromise.
Why it matters: It matters because IAM, PAM, and lifecycle teams must govern machine credentials with the same discipline as human access, or supply chain exposure will remain hidden.
By the numbers:
👉 Read Entro Security's analysis of non-human identity attacks on the supply chain
Context
A software supply chain attack is not just a code problem. It is an identity problem when build systems, deployment tools, tokens, and service accounts can act with broad access outside normal human authentication paths. In that environment, non-human identities become the control plane for compromise, not just a supporting detail.
The article argues that conventional IAM protections focused on people do not adequately control machine credentials. That gap matters to NHI, IAM, PAM, and lifecycle programmes because the same access review, rotation, and offboarding discipline that applies to humans must also be extended to service accounts, tokens, and third-party integrations.
Key questions
Q: What breaks when non-human identities are not governed in software supply chains?
A: When non-human identities are not governed, attackers can use tokens, service accounts, and secrets to reach build, release, and data systems that were never meant to be exposed together. The result is hidden persistent access, broad blast radius, and compromise that can spread through trusted automation before anyone notices.
Q: Why do service accounts and tokens create more supply chain risk than human logins?
A: Service accounts and tokens are often long-lived, reusable, and embedded in automation, which means they can be copied and replayed without interactive challenge. Human login controls like MFA and SSO help with employee access, but they do not by themselves govern machine-to-machine trust or third-party delegated access.
Q: How do security teams know if NHI access is too broad in delivery pipelines?
A: Look for credentials that can read, write, and deploy across multiple environments when the workflow only needs one of those actions. If the same token can access repositories, cloud storage, and production tooling, the access model is broader than the business task and should be tightened.
Q: Who should own revocation for third-party non-human access?
A: The business team that depends on the integration should own revocation, with security and IAM providing policy and oversight. Third-party non-human access should not be left to vendor assumptions alone, because active tokens and OAuth grants can outlive the business need that created them.
Technical breakdown
Why supply chain compromise often starts with non-human credentials
Modern supply chains depend on API keys, tokens, service accounts, and secrets to move code, approve builds, and publish releases. Those identities authenticate machines, not people, and they often sit inside CI/CD, vendor integrations, and automation pipelines with permissions broad enough to affect multiple downstream systems. Once exposed, they can be replayed without changing the normal software flow, which makes them attractive to attackers seeking durable access rather than noisy exploitation. The control weakness is usually not one broken login. It is the accumulation of machine credentials that can authenticate production-adjacent actions with very little human visibility.
Practical implication: inventory every machine credential in the delivery chain and reduce its scope to the smallest viable task.
Why human IAM controls do not map cleanly to NHI risk
IAM for people assumes interactive authentication, user behaviour, and session boundaries that can be observed and challenged. Non-human identities do not follow that pattern. A token can be copied, a service account can be reused by scripts, and a secret can persist long after the original workflow changed. MFA and SSO may protect employee logins, but they do not by themselves govern how automated systems authenticate or how third parties inherit access. That is why the article’s central warning is structural: machine access requires lifecycle control, secret management, and behavioural monitoring that are designed for non-human execution paths.
Practical implication: treat machine access as a separate governance domain, not as an extension of human login policy.
How third-party automation becomes a supply chain multiplier
Third-party integrations extend the attack surface because they often inherit trust from the primary environment without equivalent lifecycle review. If a vendor token, OAuth grant, or shared secret remains active after the business need changes, the supply chain retains an access path that no one may be actively watching. This is where traditional third-party risk management breaks down. It may record the relationship, but it rarely tracks the exact non-human credential, its permissions, its rotation state, and its revocation trigger. The result is hidden persistent access that can survive long after the original assurance process has ended.
Practical implication: bind each third-party connection to an owned credential, a review owner, and a revocation event.
Threat narrative
Attacker objective: The attacker wants to convert a single machine credential into supply chain-wide access that can modify software, steal data, or persist inside trusted delivery systems.
- Entry begins when attackers obtain or abuse a non-human credential such as a token, service account, OAuth grant, or exposed secret tied to the supply chain.
- Escalation occurs when that credential carries broader permissions than the workflow needs, allowing the attacker to read code, alter repositories, or reach build and deployment systems.
- Impact follows when the compromised non-human identity is used to modify software, exfiltrate data, or spread trust failure across downstream customers and environments.
Breaches seen in the wild
- Shai Hulud npm malware campaign — Shai Hulud campaign: npm malware exposed secrets on GitHub.
- Salesloft OAuth token breach — hackers stole OAuth tokens to access Salesforce data via Salesloft.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Non-human identity attack paths are now a supply chain governance problem, not a niche credential issue. The article’s examples show that service accounts, tokens, SAS keys, and OAuth grants can all become entry points into development and delivery environments. That means the control question is not whether IAM exists, but whether machine identities are governed with the same lifecycle discipline as employee access. Practitioners should treat machine access as part of supply chain assurance, not as an afterthought.
Human IAM controls alone do not secure automated delivery systems. MFA, SSO, and user-centric policy enforcement reduce human account risk, but they do not constrain a copied token, a hard-coded secret, or a long-lived service account. This is where NHI governance becomes distinct from traditional IAM: access is embedded in code, pipelines, and integrations, then reused by systems without interactive challenge. The implication is that a people-only control model leaves the most automated parts of the enterprise under-governed.
Third-party non-human access creates hidden privilege that traditional TPRM rarely sees. A vendor relationship can look low risk on paper while the underlying OAuth grant, token, or secret remains active and overprivileged in practice. That is a lifecycle failure, not just a monitoring gap. The named concept here is credentialed supply chain persistence: access survives beyond the business moment that created it, and practitioners need to recognise that persistence as the real risk surface.
Least privilege for non-human identities is often defined too late and too broadly. Machine credentials are frequently provisioned for convenience, then left to accumulate scope as workflows expand. That violates the assumption that access can be cleanly bounded at creation time. In supply chain environments, that assumption fails because integrations change faster than entitlements are re-evaluated. Practitioners should reframe machine access as a moving governance target, not a one-time provisioning event.
Supply chain compromise through NHI abuse is a lifecycle failure before it is an intrusion pattern. The breach pattern is enabled by weak ownership, slow revocation, and poor inventory of machine credentials across repositories, CI systems, and vendor connections. When those controls are absent, attackers do not need a sophisticated exploit chain. They only need one durable identity path that no one has fully mapped. The practical conclusion is that lifecycle governance is a core supply chain defence.
From our research:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, according to The State of Secrets in AppSec.
- For a broader view of machine identity exposure, read 52 NHI Breaches Analysis for the recurring controls that fail.
What this signals
With leaked secrets taking an average of 27 days to remediate, the gap between discovery and removal is long enough for supply chain abuse to compound. That is why credential inventory, ownership, and offboarding must sit inside the operating model, not only in security tooling.
Credentialed supply chain persistence: machine access that survives the business need that created it is now a governance pattern teams need to expect. As automation spreads, the practical control question becomes whether every token, service account, and OAuth grant has a documented end state.
Practitioners should align this work with the NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10 when defining ownership, detection, and response for non-human credentials.
For practitioners
- Map every non-human identity in the delivery chain Inventory service accounts, API keys, tokens, OAuth grants, SAS keys, and build secrets across source control, CI/CD, cloud platforms, and third-party integrations. Record who owns each credential, where it is used, and what system it can reach.
- Reduce machine credential scope to the workflow actually needed Remove broad repository, storage, mailbox, or deployment permissions from credentials that only support a narrow automation task. Where possible, split duties so a build secret cannot also alter release artefacts or access customer data.
- Bind third-party access to revocation triggers Require every external integration to have an expiry condition, an owning team, and a documented offboarding step. If the business relationship changes, the credential should be revoked as part of the same lifecycle event.
- Monitor for anomalous machine behaviour, not just failed logins Watch for unusual access timing, new repository reads, unexpected build activity, and secret use from unfamiliar systems. Machine compromise often looks like legitimate automation until the access pattern is compared with the known workflow.
Key takeaways
- Supply chain compromise increasingly starts with non-human identities, not with human login failure.
- The evidence points to broad, persistent machine access as the real risk amplifier, especially inside CI/CD and third-party integrations.
- Practical defence depends on lifecycle ownership, scope reduction, and revocation of every machine credential that can affect delivery systems.
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 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Secret exposure and overbroad machine access are central to the attack path. |
| NIST CSF 2.0 | PR.AC-4 | Supply chain access must be managed with least privilege and lifecycle ownership. |
| NIST Zero Trust (SP 800-207) | SC-7 | Zero trust limits implicit trust in automated systems and third-party access paths. |
Reduce implicit trust between automation systems and verify each non-human access path.
Key terms
- Non-Human Identity: A non-human identity is a digital credential used by software, services, or automated workflows rather than a person. It includes API keys, tokens, certificates, service accounts, and secrets. In practice, these identities often carry production access and must be governed with the same lifecycle discipline as human accounts.
- Supply Chain Attack: A supply chain attack targets the software production and distribution path rather than a single end system. Attackers use trusted dependencies, build tools, or automation to reach many downstream victims at once. Identity controls matter because machine credentials often provide the trusted access path.
- Secret Rotation: Secret rotation is the process of replacing credentials before they become durable attack paths. It matters for non-human identities because reused keys and tokens can persist in code, pipelines, and integrations long after the original business purpose has changed. Rotation only works when inventory and ownership are accurate.
- Third-Party Risk Management: Third-party risk management is the process of assessing and controlling access introduced by suppliers, partners, and external services. For machine identities, it must extend beyond contracts and questionnaires to the actual tokens, grants, and secrets that keep the integration alive.
What's in the full article
Entro Security's full blog post covers the operational detail this post intentionally leaves for the source:
- The specific breach examples and root-cause notes that connect each incident to a machine identity failure mode
- Entro's breakdown of how broad permissions in service accounts, tokens, and secrets create downstream supply chain blast radius
- The article's discussion of how third-party access points become hidden risk conduits when lifecycle review is weak
- The platform-oriented visibility and anomaly-monitoring details that practitioners would need for implementation planning
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 2024-04-15.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org