Why do supply chain incidents demand identity-aware hunting?

Why This Matters for Security Teams

Supply chain incidents are not just software integrity problems. They are identity problems that unfold across publishing accounts, package registries, build runners, secrets stores, and deployment permissions. When a threat actor compromises one trusted identity, the next stages often look like legitimate automation unless hunting teams correlate identity telemetry with code-signing, CI/CD, and runtime signals. The OWASP Non-Human Identity Top 10 is a useful reminder that machine identities, tokens, and service accounts are often the real trust boundary in modern delivery pipelines.

What gets missed most often is that the initial compromise may be quiet. A stolen API key, an overly broad service token, or a compromised maintainer account can all produce changes that pass ordinary release checks. Security teams that focus only on malicious artefacts usually arrive too late, after the package is already trusted by downstream environments. In practice, many security teams encounter the breach only after a signed or published release has already been consumed, rather than through intentional identity-led hunting.

How It Works in Practice

Identity-aware hunting starts by mapping which human and non-human identities can publish, approve, sign, build, or deploy. That includes maintainers, CI agents, package registry credentials, cloud workload identities, and any tokens used by release automation. The hunt then traces how those identities were used before the suspicious artefact appeared, looking for anomalies such as new token issuance, unusual authentication geography, privilege escalation, suspicious runner provisioning, or a change in signing behaviour.

In practice, teams get better results when they join together IAM, PAM, SCM, CI/CD, cloud audit, EDR, and SIEM data. A useful workflow is:

• Identify the identity that introduced the package, commit, or artifact.
• Verify whether that identity normally performs that action at that time and from that system.
• Check for secret creation, rotation failure, token reuse, or privilege expansion.
• Trace the build path to see whether a trusted runner, signer, or deployment service was abused.
• Hunt downstream for lateral movement, persistence, or credential harvesting after the initial trust event.

This is where frameworks such as MITRE ATT&CK help structure detection logic around valid account use, credential access, and execution through trusted tooling, while identity governance controls help explain why the trust existed in the first place. Current guidance suggests treating publishing credentials, signing keys, and CI service accounts as high-value identities that need stronger monitoring than ordinary user accounts. These controls tend to break down when organisations have multiple build systems, inherited tokens, or weak separation between developer access and release authority because attribution becomes unreliable.

Common Variations and Edge Cases

Tighter identity control often increases operational overhead, requiring organisations to balance release speed against verification depth. That tradeoff is especially visible in open source ecosystems, federated build environments, and fast-moving DevOps pipelines where short-lived credentials are preferred but not always consistently enforced.

There is no universal standard for this yet, but best practice is evolving toward stronger provenance, short-lived workload identity, and explicit attestations for build and release steps. Where agentic automation is involved, the question becomes even more sensitive because an autonomous system may hold execution authority without a corresponding human approval path. The Anthropic report on AI-orchestrated cyber espionage shows why identity, tooling, and execution context must be examined together when automation is part of the chain.

Edge cases include legitimate emergency publishing, mirrored repositories, and third-party package dependencies that inherit trust without direct internal ownership. In those situations, hunting should distinguish between approved break-glass activity and abuse of standing privilege, then validate whether the identity that performed the action had the right scope, duration, and approval trail. If the environment lacks immutable audit logs or consistent workload identity, identity-aware hunting becomes fragmented and loses confidence at the exact moment evidence must be tied together.

Related resources from NHI Mgmt Group

• Why do supply chain attacks so often turn into identity incidents?
• How should teams reduce identity risk in cloud supply chain attacks?
• When does a supply chain incident become an identity security problem?
• Why do SaaS supply chain incidents spread beyond the first compromised app?