Leaked credentials create a second, unmanaged NHI security state

At a glance

What this is: This is Truffle Security’s analysis of how exposed credentials create a second security state, where an NHI copy can keep working after it escapes its intended control plane.

Why it matters: It matters because IAM teams can govern provisioned NHIs tightly and still miss the exposed copies that keep authenticating in Slack, code, logs, or agent configs.

👉 Read Truffle Security's analysis of leaked credentials and AI agent exposure

Context

The core governance gap is that a non-human identity can be secure in one location and exposed in another without losing its ability to authenticate. In practice, that means the same secret can be governed as an asset in a secrets manager while becoming an unmanaged access path once it is copied into chat, code, logs, artifacts, or agent configuration files.

For NHI programmes, the important distinction is between provisioning control and exposure control. Provisioning processes can define ownership, scope, and rotation, but they do not automatically cover every duplicate copy that escapes into collaboration tools, build outputs, or AI workflows.

That gap becomes more dangerous as more systems, including AI agents, consume the same machine credentials to operate across repositories, SaaS platforms, and cloud environments. The starting position described here is now common, not unusual, because the enterprise attack surface increasingly includes both intentional NHI deployment and accidental credential sprawl.

Key questions

Q: What breaks when a non-human identity secret escapes its intended control plane?

A: The control model breaks because the leaked copy can keep authenticating after it leaves the governed location. That means the organisation still has an active identity path, but it no longer has full visibility, ownership, or containment. The practical failure is not the leak itself, but the persistence of trusted access outside the approved boundary.

Q: Why do leaked NHI credentials create more risk than ordinary exposed strings?

A: Leaked NHI credentials can function as authenticated access, not just information. If a key, token, or PAT is still valid, the attacker does not need to defeat the login flow. The credential itself becomes the login, which makes liveness and scope the critical variables.

Q: Why do AI agents make non-human identity governance harder?

A: AI agents make governance harder because they can request tools, act autonomously, and change behaviour across sessions while still relying on machine credentials. That increases the number of access paths security teams must supervise. The result is a stronger need for task-scoped access, explicit ownership, and continuous monitoring of what the agent can reach.

Q: How should security teams reduce the risk of credential exposure across repositories and chat?

A: They should combine exposure discovery with stricter credential design. Search code, logs, chat, and build outputs for live secrets, then reduce the usefulness of any exposed copy by shortening lifetime, limiting scope, and revoking credentials that no longer need to exist in multiple places.

Technical breakdown

Why a leaked credential still behaves like a live identity

A secret does not stop working just because it was copied into the wrong place. If the token, key, or certificate still authenticates, downstream systems usually cannot distinguish the exposed copy from the sanctioned one. That creates a split state: the original credential remains governed, while the leaked copy becomes an alternative entry point with the same permissions and often the same trust. The technical problem is not only exposure but identity equivalence across copies. Once that equivalence exists, visibility, ownership, and rotation controls are no longer enough on their own because the attack surface has moved outside the system of record.

Practical implication: treat every authenticated copy of a secret as an active identity path, not just a data leak.

How AI agents widen NHI exposure paths

AI agents increase exposure in two ways. First, they need credentials to reach the tools and data sources they operate against, which pushes secrets into more runtime locations such as config files and orchestration layers. Second, agent workflows tend to replicate context, so credentials can surface in places that were never designed as identity boundaries. That does not make every tool-using system autonomous, but it does expand the number of places where a non-human identity can be copied, reused, and left behind. The governance challenge is therefore not only the NHI itself, but the credential sprawl created by the systems acting on its behalf.

Practical implication: inventory where agents store and replay credentials, then remove any path that creates unmanaged copies.

Why exposure age matters less than live authentication

The article’s key technical point is that age is a weak indicator unless the credential still works. An old leaked key can remain just as dangerous as a fresh one if it still authenticates, and automated attackers can now test large sets of exposed secrets quickly. That changes the operational model from leak recency to live access validation. For defenders, the relevant question is not how long the secret has existed, but whether it still opens anything. This is a classic NHI control blind spot because the secret’s lifecycle is being measured, while its active reach is not.

Practical implication: validate exposed secrets against live systems and prioritise any credential that still authenticates.

Threat narrative

Attacker objective: The attacker wants a still-valid leaked secret that bypasses the original governance boundary and opens access to connected enterprise systems.

1. Entry occurs when a secret is copied into Slack, code, logs, CI artifacts, or an agent configuration file and escapes the intended control plane.
2. Credential access follows when an attacker or automated scanner discovers the exposed copy and tests whether it still authenticates.
3. Escalation happens when that still-valid credential is reused against connected repositories, SaaS applications, or cloud systems.
4. Impact is achieved when the exposed NHI copy provides trusted access outside the original governance boundary, creating unauthorized reach into enterprise systems.

Breaches seen in the wild

• Dropbox Sign breach 2024: A compromised back-end service account gave attackers Dropbox Sign customer data, including API keys, OAuth tokens and MFA information.
• 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.

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

Leaked credential copies create an identity governance blind spot, not just a disclosure problem. NHI programmes often treat the secret manager as the control boundary, but the article shows that the real boundary is the set of places where the credential continues to authenticate. Once a secret escapes into chat, code, logs, or an agent config, ownership and rotation alone no longer describe the full risk. Practitioners need to think in terms of governed copy state, not just provisioned identity state.

Exposure control has become a first-class NHI discipline. The article’s central concept is a second security state: a credential can be both managed and unmanaged at the same time. That matters because traditional lifecycle thinking assumes one authoritative location for the identity. In modern environments, especially with AI-assisted workflows, the exposed copy can outlive the original context and remain functionally trusted. The implication is that NHI governance must expand from creation and rotation to copy discovery and containment.

Credential state drift: The same NHI can move from a controlled to an uncontrolled state without any change to the permissions themselves. That breaks the governance assumption that access risk is determined primarily at provisioning time. In practice, the copy that escapes the control plane becomes the more important object to manage, because it preserves trust while shedding oversight. Practitioners should treat drift in secret location as a governance event, not a housekeeping issue.

Agentic workflows intensify the problem because they multiply where secrets appear, not because they make every system autonomous. AI agents are relevant here as consumers and redistributors of machine credentials, which means they increase the chance of exposure even when they operate inside fixed workflows. That widens the NHI attack surface without changing the basic control failure: a secret that leaves its intended boundary can still work. The field should stop equating secret storage with secret governance.

The market signal is clear: visibility into service accounts and leaked credentials now determines real trust boundaries. NHI security is no longer only about reducing standing privilege or rotating secrets on schedule. It is about knowing which copies exist, where they live, and whether they still authenticate. The organisations that can answer those questions will have materially better control over machine access than those that only manage the original secret record.

From our research library:

• 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to the Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
• Read next: Guide to NHI Rotation Challenges

What this signals

Credential state drift: NHI governance is failing whenever a secret’s approved location and its effective trust boundary diverge. That drift is now a programme-level issue, because a copied credential can survive in chat, code, logs, or agent context long after the original owner has moved on.

Access review cadences do not solve a secret that keeps authenticating outside the system of record. Practitioners need copy discovery, exposure containment, and live credential validation as part of the same control model, or they will continue to certify the wrong object.

For practitioners

• Map secret copy locations across collaboration and build systems Inventory where credentials appear outside the secrets manager, including Slack, source control, CI artifacts, endpoints, and agent configuration files. Focus on places where a copied secret can continue to authenticate after the original owner has lost visibility.
• Validate exposed credentials against live authentication Check whether leaked keys, tokens, and certificates still work in connected systems before you classify them as historical exposure. Prioritise any live credential for immediate revocation because the risk is access, not disclosure alone.
• Shorten the useful life of machine credentials Prefer short-lived credentials and managed identities where possible, but pair them with controls that search for duplicate copies in code, chat, logs, and agent workflows. Expiry helps only when exposure detection keeps pace.
• Treat agent configuration files as credential surfaces Review AI agent setup files, orchestration configs, and runtime context stores for machine secrets that can be replayed into downstream systems. Remove any pattern that causes credentials to be copied into durable files.

Key takeaways

• The article frames leaked credentials as a second unmanaged identity state, which is more dangerous than simple disclosure because the copy can still authenticate.
• The risk is not theoretical. Truffle Security cites 190 unique live secrets in recovered PyPI packages and 88% of rechecked AWS keys still active.
• Teams should govern where secrets live after they leave the secrets manager, not just how they are provisioned and rotated inside it.

Key terms

• Credential State Drift: The condition where a secret remains valid after it has left the location or workflow that was supposed to govern it. In NHI programmes, state drift means the same credential can be managed in one place and effectively unmanaged everywhere else it was copied.
• Exposed Secret: A secret is any credential material such as an API key, token, certificate, or password used by software or services. When exposed, it can be replayed by an attacker unless it is quickly revoked, rotated, and traced across every place it was deployed.
• Live Secret: A credential, token, API key, or certificate that still authorises real access when discovered. In NHI governance, a live secret matters more than its origin because it can still move data, change code, or invoke services until it is revoked everywhere it exists.
• Credential Copy: Any duplicate instance of a secret outside its authoritative storage location. For NHI governance, credential copies matter because they create additional trust paths that are invisible to the original owner unless the organisation explicitly searches for them.

What's in the full article

Truffle Security's full analysis covers the operational detail this post intentionally leaves for the source:

• How the researchers traced leaked credentials across chat, repositories, CI artifacts, and agent configuration files
• The PyPI and AWS recovery methods used to determine whether exposed secrets were still live
• The webinar discussion of how AI changes exposure patterns for machine credentials
• The practical guidance on closing unmanaged credential paths before attackers find them

👉 Truffle Security's full post covers the credential exposure patterns, live-secret checks, and AI-driven attack surface changes.

Deepen your knowledge

NHI governance, machine identity security, and secrets management 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.