Who is accountable when a leaked secret is still being used in production?

Why This Matters for Security Teams

A leaked secret that is still live in production is not just a detection problem, it is an ownership problem. Once the credential remains valid, the incident shifts from “who found it” to “who can prove where it is used, who can replace it, and who can shut it off safely.” That is why secret sprawl is so persistent: GitGuardian reports that 64% of valid secrets leaked in 2022 are still valid and exploitable today, which makes delayed accountability a direct risk factor. The same pattern shows up in supply chain incidents and CI/CD compromise, including CI/CD pipeline exploitation case study and the Reviewdog GitHub Action supply chain attack, where a secret can be copied, reused, and embedded into automation long before the leak is fully remediated.

Security teams often assume the “owner” is the team that opened the ticket, but operationally the accountable party is the one with authority over the workload, the credential lifecycle, and the business service that would fail if the secret is revoked. Guidance from the OWASP Non-Human Identity Top 10 reinforces that non-human credentials need explicit lifecycle ownership, not informal tribal knowledge. In practice, many security teams encounter the real owner only after the credential has already been used again by production automation.

How It Works in Practice

Accountability needs to be pre-assigned before a leak occurs. The security team usually owns detection, triage, and evidence capture. The application owner owns impact analysis, code and configuration search, and confirmation of every place the secret is consumed. The platform or identity team owns rotation, revocation, and enforcement of the new control path. If a business system depends on the credential, the service owner must approve the remediation sequence so that a replacement secret, token, or workload identity can be issued without outage.

Current guidance suggests that the remediation runbook should answer four questions immediately: where is the secret used, what breaks if it is revoked, what replaces it, and who signs off on closure. That is especially important for non-human identities, because the exposed credential may be tied to an API, CI runner, service account, or agentic workload that can continue acting autonomously after the leak. Research on secrets sprawl shows why this matters operationally: only 44% of organisations currently use a dedicated secrets management system, while the average time to mitigate a leaked secret is 36 hours, as noted in The 2024 State of Secrets Management Survey. That delay is exactly where blame turns into exposure.

• Security identifies the leak and preserves evidence.
• Application ownership maps every consuming workload and dependency.
• Platform or identity owners rotate, revoke, or re-issue the credential.
• Service owners validate that production still functions after closure.

For identity-centric remediation patterns, NHI governance and zero trust guidance remain useful, especially when paired with Guide to the Secret Sprawl Challenge and the 52 NHI Breaches Analysis. These controls tend to break down when secrets are shared across multiple pipelines, because no single team can prove exclusive ownership of the credential or its production usage.

Common Variations and Edge Cases

Tighter revocation control often increases outage risk, so organisations have to balance fast shutdown against service continuity. That tradeoff is especially difficult when the leaked secret belongs to a shared integration, a legacy batch job, or an externally managed SaaS connector. In those cases, there is no universal standard for the fastest safe response, but best practice is evolving toward short-lived credentials, explicit service ownership, and verified replacement before revocation.

One common edge case is when the secret was leaked in a repo but is actually consumed by a deployment tool, not the application code. Another is when a security team detects the leak but cannot see the live runtime path because the secret is injected by the platform at deploy time. For autonomous systems and AI agents, the risk is even sharper because the credential may be used opportunistically at runtime, making static role assumptions unreliable. That is why Anthropic — first AI-orchestrated cyber espionage campaign report is relevant here: goal-driven systems can chain tools and continue execution in ways that require real-time ownership, not just a ticket.

For agentic and automated workloads, accountability should map to the team that controls workload identity, JIT credential issuance, and policy enforcement at runtime. That aligns with Shai Hulud npm malware campaign as well as modern agent governance thinking: if a secret is still used in production, the accountable owner is the one who can stop the usage path and replace it safely, not the person who first noticed the leak.

Related resources from NHI Mgmt Group

• Why is proactive secret scanning important for NHI security?
• Why do leaked secrets remain such a persistent NHI risk?
• When does secret exposure become a broader identity risk?
• How should security teams govern API keys used for generative AI access?