TL;DR: Secrets sprawl is not a people problem but a systems problem, according to Doppler's analysis, as hardcoded keys, manual rotation, weak auditability and AI tool exposure combine to make small credential mistakes compound into broad, persistent risk. Centralised control matters because scattered secrets turn every new workflow into another leak surface.
At a glance
What this is: NHI Mgmt Group's analysis, drawing on Doppler's blog post: Secrets sprawl turns routine credential mistakes into a compounding systems problem, with AI tools adding a new leak surface.
Why it matters: IAM and NHI teams need to treat secrets sprawl as lifecycle and governance debt, because every unmanaged credential path expands blast radius and weakens accountability.
Context
Secrets sprawl happens when credentials, tokens and keys are created, copied and reused faster than teams can govern them. The problem is not limited to one repository or one environment; it grows whenever ownership, rotation and visibility are handled separately.
The governance gap is that many programmes still treat secret handling as a set of local tasks instead of a lifecycle problem. Once AI tools are added to the workflow, the same unmanaged credential paths can appear in prompts, chats and logs as easily as in code. Guide to the Secret Sprawl Challenge
Key questions
Q: How do I stop hardcoded secrets from creating persistent access risk?
A: Hardcoded secrets create persistent access risk because the credential is embedded in code, scripts, images, or configuration and can be copied, reused, or leaked without a clear owner. Remove the secret from the repository, replace it with a vault-backed reference or injected runtime secret, and rotate the exposed credential immediately. Revoking unused copies and assigning ownership closes the lingering access path.
Q: Why does secrets sprawl make rotation so hard to enforce?
A: Secrets sprawl makes rotation hard because the same API key, token, or certificate is duplicated across applications, pipelines, and environments without a complete inventory. Without lifecycle visibility, teams cannot identify every consumer, dependency, and expiry date before changing the credential. Central inventory, ownership tags, and automated discovery are needed to rotate one secret without breaking hidden integrations.
Q: What are the signs that an exposed API key has become a broader compromise?
A: Look for unexpected token creation, unusual repository writes, workflow execution from unfamiliar identities, and access to systems that the original key should not have reached. When one exposed secret is followed by new credentials or cross-system movement, the incident has moved from leakage into credential chaining.
Q: What are the signs that AI tools are becoming a data leakage channel?
A: Look for concentrated use in a small number of tools, repeated pasting of sensitive text, screenshot-heavy workflows, and exports from AI interactions into email or chat. Those patterns show that the tool is being used as a data handling path, not just a productivity aid, and controls should be tightened at input and output.
Technical breakdown
How hardcoded secrets and long-lived credentials fail together
Hardcoded secrets create initial exposure, but long-lived credentials turn that exposure into durable access. When a key lands in source control, build logs, or a shared file, the issue is not only leakage but persistence: the credential remains valid long after the original mistake. Static secrets also encourage reuse across environments, which increases the number of places an attacker can test the same value. That is why secrets sprawl is more than an inventory problem. It is a failure of credential lifecycle design, where discovery, rotation, and revocation are not tight enough to keep pace with software delivery. See the Secrets Management Guide.
Practical implication: Treat long-lived credentials as the primary failure mode, and shorten the window between exposure and revocation.
Why manual rotation and missing audit trails create governance debt
Manual rotation depends on reminders, coordination and consistent execution, which makes it fragile in distributed engineering environments. Without an audit trail, teams cannot reliably answer who changed a secret, when it changed, or whether the old value still exists somewhere else. That breaks accountability and makes incident response slower because defenders have to reconstruct the credential history after the fact. In practice, manual processes tend to survive until the first production issue, then become permanent risk because nobody can prove full coverage across teams, pipelines and environments. See the API Key Management Guide.
Practical implication: Map every secret to an owner, a rotation event and a revocation record, then remove any credential path that cannot produce all three.
How AI tools become a new secrets exposure channel
AI tools do not create secrets sprawl, but they make existing sprawl easier to leak. When engineers paste credentials into prompts, copilots or external model APIs, the secret can be stored, logged, copied or replayed outside the organisation's control. The risk is amplified when the same secret already exists in repos, tickets or chat threads, because AI workflows become another distribution layer for the same value. This is why AI exposure should be read as an acceleration of bad secrets hygiene, not a separate category of problem. Read the Ultimate Guide to NHIs.
Practical implication: Block secrets from AI prompts and instrument the workflows that move credentials into model-facing tools.
Threat narrative
Attacker objective: The objective is to turn one exposed credential into repeated access across systems before defenders can rotate or revoke it.
- Entry occurs when a secret is hardcoded in a repository, pasted into a prompt, or left in a CI log where it can be discovered or reused.
- Escalation follows when the same credential remains valid across environments or teams, giving an attacker or accidental user durable access beyond the original mistake.
- Impact arrives when scattered secrets and weak visibility let the exposure spread into multiple systems, making containment slower and broader than the first leak.
Breaches seen in the wild
- 12,000 secrets in LLM training data: Truffle Security found 11,908 live API keys and passwords hard-coded in web pages captured by Common Crawl, a dataset used to train LLMs.
- xAI API key leak 2025: An xAI developer leaked an API key on GitHub that reached 60+ private Grok models and stayed live for about two months before revocation.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Secrets sprawl is a governance failure before it is a hygiene failure. The problem is not the presence of secrets alone, but the absence of a controlled lifecycle that tracks where they live, who can use them and when they must die. Once credentials are scattered across code, logs, prompts and shared files, ownership becomes ambiguous and revocation becomes partial. The practitioner lesson is that secret control has to be treated as an identity programme, not a cleanup task.
AI tools are now part of the secrets distribution problem. A secret pasted into an AI prompt is not just exposed once; it is potentially replicated across chat history, logs, external services and downstream tooling. That makes AI exposure a multiplier on existing weakness rather than a separate category of risk. The implication is that every AI workflow must be assessed for credential ingress and egress, especially where engineers use external models or copilots.
Long-lived credentials create identity debt that survives the original business purpose. The more static the credential, the more assumptions it carries about environment, user and time. Those assumptions break down in modern delivery pipelines, where secrets are copied, inherited and reused faster than manual controls can track. Practitioners should read this as a signal that persistence, not just exposure, is what turns a secret into a recurring access path.
Secret chaos becomes a blast-radius problem when visibility is fragmented. If teams cannot see where a secret is used, they cannot confidently judge whether a leak is isolated or systemic. That uncertainty delays containment and encourages over-permissioning as a substitute for clarity. The operational conclusion is that visibility and lifecycle control belong together, because one without the other leaves remediation guessing.
Centralisation matters because it converts scattered risk into governable state. When secrets move through a single source of truth with logging and controlled delivery, the organisation can finally see who accessed what and when. That is not merely a tooling preference; it is the condition that makes offboarding, rotation and audit meaningful. The practical test is whether the environment can revoke a secret everywhere it appears without searching by hand.
From our research library:
- Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them, according to the Ultimate Guide to NHIs.
- Read next: Guide to the Secret Sprawl Challenge
What this signals
Secrets sprawl is becoming an AI-era distribution problem. The organisation no longer has to lose a secret once for it to become dangerous; one bad copy can propagate through code, chats, prompts and logs before anyone notices. That means the control objective shifts from finding every leak to preventing the same credential from being reused in the first place.
AI workflows make credential governance measurable at the point of use. If a secret can be pasted into a model-facing tool, the governance model is already too permissive for modern engineering. Practitioners should watch for prompt-level ingress, external model egress and any workflow where a secret can leave the trusted boundary without an audit trail.
Secret lifecycle control now defines blast radius. With 80% of identity breaches involving compromised non-human identities such as service accounts and API keys, the issue is no longer whether credentials leak but whether they can be revoked, rotated and traced quickly enough to limit damage. Organisations that cannot prove that lifecycle are relying on luck, not control.
For practitioners
- Inventory every secret path Map repositories, CI logs, ticketing systems, prompts and shared files where credentials can appear, then assign an owner to each path.
- Shorten credential lifetime aggressively Replace static secrets with shorter-lived credentials wherever possible, and require automatic rotation for anything that must persist.
- Block secrets from AI workflows Add prompt filtering, redaction and policy checks so engineers cannot paste live credentials into copilots, chat interfaces or model APIs.
- Tie revocation to audit evidence Require a loggable revoke event for every secret change so responders can prove when the old value stopped working. See the API Key Management Guide.
Key takeaways
- Secrets sprawl is fundamentally a lifecycle and ownership problem, not just an engineering cleanliness issue.
- AI tools amplify existing credential chaos by creating another path for secrets to be copied, logged or retained outside control.
- Practitioners need faster revocation, stronger visibility and shorter-lived credentials to keep one leak from becoming repeated access.
Related NHI Mgmt Group resources: Guide to the Secret Sprawl Challenge · Secrets Management Guide · Ultimate Guide to NHIs: Static vs Dynamic Secrets
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 addresses the attack and risk surface, while NIST SP 800-53 Rev 5, CIS Controls v8 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | Hardcoded keys, CI logs and prompts all create direct secret leakage risk in this article. |
| NHI-07 — Long-Lived Secrets | The article centers on static credentials that stay useful long after the original mistake. | |
| Recommendation — Scan for exposed secrets across code, logs and AI workflows, then revoke any credential that appears outside controlled storage. Replace persistent secrets with shorter-lived credentials and remove any value that cannot be rotated automatically. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Credential rotation and revocation are central to managing the risk described here. |
| Recommendation — Apply authenticator management controls to enforce rotation, revocation and lifecycle tracking for non-human credentials. | ||
| CIS Controls v8 | CIS-5 — Account Management | The article’s core issue is unmanaged credential ownership and lifecycle control across teams and tools. |
| Recommendation — Use account management controls to inventory, assign and remove non-human credentials before they sprawl across environments. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | Over-permissioned secrets and inconsistent access are part of the risk pattern described here. |
| Recommendation — Review entitlements for every secret and remove any standing access that exceeds the credential's intended scope. | ||
Key terms
- Secrets Sprawl: The uncontrolled proliferation of sensitive credentials, API keys, tokens, passwords, certificates, across codebases, cloud environments, CI/CD pipelines, and configuration files. In 2024, over 50 million leaked secrets were found on the dark web.
- Hardcoded Secret: A hardcoded secret is a credential written directly into source code, scripts, configuration files, or build assets. It is convenient for development but dangerous in production because it can be copied, indexed, propagated, and reused outside the intended control boundary.
- Long-Lived Secret: A long-lived secret is a credential, token, API key, or certificate that remains valid for an extended period without frequent renewal. In NHI environments, it creates durable exposure because one leaked secret can keep granting access long after the original use case has changed.
- API Key: A unique identifier used to authenticate a software application or service when calling an API. API keys are static, long-lived credentials and a major source of secrets sprawl. In 2024, over 50 million leaked API keys were found on the dark web.
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on November 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org