Who is accountable when secret access is exposed across AWS, on-premises, and third-party tools?

Why This Matters for Security Teams

When secret access spans AWS, on-premises platforms, and third-party tools, accountability is usually broken by design rather than by accident. The risk is not just where a credential lives, but whether one team owns discovery, policy, rotation, revocation, and evidence across every place that credential can be used. OWASP’s Non-Human Identity Top 10 treats unmanaged machine credentials as a core control problem, not a storage problem, because compromise often begins in the gaps between platforms. NHI Management Group research shows that only 5.7% of organisations have full visibility into their service accounts, which explains why ownership disputes persist until an incident exposes them. In practice, many security teams discover this only after a leaked key has already been reused across systems and incident responders cannot prove who was meant to revoke it.

How It Works in Practice

The accountable owner should be the team responsible for secrets governance end to end, even if the secret is replicated across cloud, data centre, and SaaS tooling. That team defines the control plane for inventory, classification, access approval, rotation cadence, exception handling, and audit evidence. Operationally, this often means a central security or platform function sets policy, while application and infrastructure owners remain responsible for the secrets used by their services.

Good practice is to map each secret to a named business service, a technical owner, and a lifecycle state. Then enforce policy at the point of use, not just at the point of storage. For example, a credential stored in AWS Secrets Manager may also be consumed by an on-prem workload and a third-party integration; accountability must cover all three usage paths. NHI Mgmt Group’s Ultimate Guide to Non-Human Identities notes that 79% of organisations have experienced secrets leaks and 71% do not rotate NHIs within recommended time frames, which is why ownership has to include forced remediation, not just policy documentation. Aligning the control model with NIST SP 800-53 Rev. 5 helps translate that ownership into auditable access, configuration, and monitoring controls.

• Assign one accountable secrets owner per service or system of record.
• Maintain a cross-platform inventory for AWS, on-prem, and third-party tool usage.
• Require rotation and revocation SLAs that apply everywhere the secret is valid.
• Capture evidence of access reviews, usage logs, and exception approvals.
• Escalate unresolved ownership conflicts as control failures, not ticket routing issues.

These controls tend to break down in federated environments where SaaS administrators, cloud operators, and application teams each assume another group is handling revocation.

Common Variations and Edge Cases

Tighter secrets governance often increases operational overhead, so organisations have to balance central accountability against local speed. That tradeoff becomes visible in mergers, multi-account cloud estates, and outsourced operations where no single team controls every endpoint. Best practice is evolving, but the current guidance suggests that accountability should follow the service owner and the governance owner together when a secret is shared across domains.

One edge case is a third-party managed integration that rotates its own credentials but still depends on customer-side approval. In that model, the vendor may execute the change, but the enterprise still owns risk acceptance, review cadence, and evidence retention. Another common exception is break-glass access, where a short-lived secret is issued during incident response. Even then, the accountable team must define who can approve it, how quickly it expires, and how revocation is verified. NHIMG’s 52 NHI Breaches Analysis shows that secrets and service identities are often exploited after ownership gaps have already existed for months, which is why incident response should not be the first time ownership is clarified. In practice, the hardest failures appear where shared responsibility is assumed but not documented across AWS, legacy systems, and external platforms.

Related resources from NHI Mgmt Group

• Who should be accountable for enforcing context based access decisions across internal systems and third party tools?
• Who is accountable when third-party user access is not properly classified or verified?
• Who is accountable when patient access is shared across third-party apps?
• Who is accountable when cardholder data is exposed in third-party tools or internal workflows?