Who should be accountable for risky non-human identity access when automation spans multiple platforms?

Why This Matters for Security Teams

When automation spans multiple platforms, accountability becomes a control problem, not an organisational chart problem. The risk is that service accounts, API keys, and delegated tokens end up approved in one system, rotated in another, and removed by nobody. That creates blind spots in ownership, especially when platform teams, identity teams, and application owners each assume a different team owns the failure path. NHI Mgmt Group research shows that 97% of NHIs carry excessive privileges, which makes weak accountability more than a paperwork issue.

Security teams often miss that shared automation amplifies risk because the same identity can trigger actions across CI/CD, cloud, SaaS, and data platforms. The controls that matter most are not just access approvals, but explicit review ownership, lifecycle tracking, and auditability. Standards guidance from OWASP Non-Human Identity Top 10 and NIST Cybersecurity Framework 2.0 both point toward traceable ownership and least privilege, but the operational burden still lands with the teams that design and approve the automation. In practice, many security teams discover unclear ownership only after a credential has been overused, over-scoped, or left active long after the original workflow changed.

How It Works in Practice

Accountability should be split by function, but not diluted. The system owner is accountable for the business purpose and the acceptable risk of the automation. The identity governance team is accountable for lifecycle policy, review cadence, and deprovisioning standards. The platform team is accountable for how the access model is implemented in cloud, CI/CD, SaaS, or orchestration tooling. Shared responsibility only works if each group has a named control point and a documented escalation path.

In practice, the best model is to bind each non-human identity to a workload, service, or automation process and record that binding in an authoritative inventory. That inventory should show who approved access, what scope was granted, when it expires, and who reviews it. This is where identity governance and engineering need to align with the controls in NIST SP 800-53 Rev 5 Security and Privacy Controls, especially around access enforcement, audit logging, and account lifecycle management.

• Assign one accountable owner for each NHI, even if multiple teams operate the surrounding platform.
• Require an approver, reviewer, and revoker for every privileged automation path.
• Track credential source, purpose, TTL, and rotation owner in one system of record.
• Use policy enforcement to block access when ownership, review date, or purpose is missing.

For NHI-specific lifecycle risks, NHI Mgmt Group guidance in the Ultimate Guide to NHIs is especially relevant because it ties governance to rotation, offboarding, and visibility. These controls tend to break down when automation is copied across environments without a fresh owner assignment, because the original approval no longer matches the actual execution path.

Common Variations and Edge Cases

Tighter accountability often increases operational overhead, requiring organisations to balance speed of automation against review depth and documentation burden. That tradeoff becomes sharper in multi-platform environments where one workflow may span Kubernetes, cloud IAM, ticketing, and SaaS connectors. There is no universal standard for this yet, but current guidance suggests that the safest pattern is to make ownership explicit at the workflow level rather than the credential level alone.

Edge cases appear when a platform team provides the control plane, but the business unit creates the automation logic, or when a central IAM group approves the pattern while a product team owns the service. In those cases, the accountable party should still be the team that can change or stop the automation, because that is the only group with practical authority to reduce risk. The 52 NHI Breaches Analysis shows why this matters: ambiguous ownership often persists until a compromise exposes it.

Where automation is ephemeral, current best practice is evolving toward just-in-time access, short-lived secrets, and machine-readable policy checks at request time. That model reduces dependency on static ownership assumptions, but it still requires a named human owner for review, exception handling, and incident response. Without that anchor, accountability fragments across teams and the revocation step is usually the first one to fail.

Related resources from NHI Mgmt Group

• Who is accountable when a leaked non-human identity is used to access production systems?
• Why do identity and access programmes need both human review and automation when scaling to complex enterprise environments?
• How should security teams run access reviews for non-human identities?
• How should security teams govern non-human identities that have persistent access?