Who should own response when identity threats involve both human and machine access?

Ownership should sit with the identity security function, with clear participation from IAM, PAM, cloud, and SOC teams. Human and machine identities follow different containment patterns, but the governance problem is the same: limiting reachable privilege before an attacker can expand access. Frameworks such as the NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10 support that alignment.

Why This Matters for Security Teams

When identity threats span both people and workloads, ownership cannot be split by login type alone. The real issue is reachable privilege: one compromised human account, service account, API key, or token can become a bridge into the rest of the environment. That is why identity security ownership has to sit close to the attack surface, with IAM, PAM, cloud, and SOC all participating under a single response model. NHI Management Group’s Ultimate Guide to NHIs shows how often organisations still lack visibility into service accounts and secrets, which makes shared ownership a practical necessity rather than an org-chart preference.

The challenge is not just access control. It is containment speed, credential revocation, and knowing which identity can reach which system before an attacker expands laterally. That is especially true when secrets are embedded in code or automation and human responders are trying to interpret machine activity at the same time. Current guidance from the OWASP Non-Human Identity Top 10 reinforces that NHI failure modes often become incident multipliers, not isolated configuration issues. In practice, many security teams discover that ownership gaps only surface after a service account or API key has already been used to pivot beyond the first compromised login.

How It Works in Practice

Operational ownership should be centered on the identity security function because it is the only team that can see both the human and machine sides of privilege. IAM typically manages authentication and lifecycle, PAM handles elevated access and break-glass paths, cloud teams control workload permissions in platforms and accounts, and the SOC drives detection and response. The owner coordinates the policy, but the containment actions must be distributed and rehearsed. For machine identities, response often starts with token revocation, secret rotation, workload isolation, and trust recalculation rather than password resets.

Effective response usually follows a shared playbook:

• Confirm whether the identity is human, machine, or a chained path involving both.
• Trace reachable privilege across cloud, SaaS, CI/CD, and API integrations.
• Revoke or expire active secrets, tokens, certificates, and sessions.
• Disable or constrain privileged roles, service accounts, and automation triggers.
• Preserve audit evidence for both IAM and workload activity.

For machine access, identity security teams should align with runtime controls such as short-lived credentials, policy-as-code, and workload identity proof. The CISA cyber threat advisories repeatedly show that fast-moving adversaries abuse whatever identity is easiest to reuse, not whichever identity is “supposed” to be in scope. NHI Mgmt Group’s 52 NHI Breaches Analysis is useful here because it shows how often secrets and service accounts become the entry point for broader compromise. These controls tend to break down when identity data is fragmented across cloud tenants and CI/CD systems because responders cannot determine which credential actually has reach.

Common Variations and Edge Cases

Tighter ownership often increases coordination overhead, requiring organisations to balance faster containment against clearer accountability. That tradeoff becomes visible in hybrid environments where the same application depends on employee accounts, service principals, legacy API keys, and third-party integrations. There is no universal standard for this yet, but current guidance suggests the identity security function should own the response framework while system owners execute the platform-specific actions.

Edge cases matter. A human account tied to an automation workflow may need both IAM and cloud action in parallel. A compromised CI/CD secret may look like a machine issue but still require SOC triage and application-owner validation. If the incident involves an agentic system, response should also consider the autonomy of the workload, because an AI agent can chain tools and expand access faster than a standard script. For that reason, the emerging best practice is to tie ownership to the identity path and the blast radius, not to whether the initial compromise started with a person or a machine. That becomes essential in environments with shared vaults, long-lived tokens, or weak offboarding discipline, where one stale credential can outlive the incident response process itself.

Related resources from NHI Mgmt Group

• Why do APIs create identity governance risk across machine and human access?
• How should IAM teams respond when Office 365 identity sprawl spans human and non-human access?
• Who should own non-human identity lifecycle decisions in the enterprise?
• Who should own machine identity governance in the enterprise?