TL;DR: AI agents need credentials to act, but long-lived keys, shared service accounts, and user-session inheritance create overbroad access and weak auditability, according to WorkOS and GitGuardian research. The governance problem is not storage alone: identity controls built for stable, predictable software do not hold when an agent can choose tools and act at runtime.
At a glance
What this is: This is an analysis of why AI agent credential patterns break when teams rely on long-lived secrets, shared accounts, and inherited user sessions.
Why it matters: It matters because IAM and PAM controls built for stable software do not contain agent behaviour well enough to preserve task scope, auditability, or revocation precision.
By the numbers:
- Nearly 29 million new hardcoded secrets were found in public GitHub commits in 2025, and commits made with AI coding assistance leaked at roughly double the base rate.
Context
AI agent credential management is the practice of issuing, storing, scoping, and revoking the secrets, API keys, OAuth tokens, certificates, and service account credentials that agents need to operate. The problem is not secret storage alone. It is that agent behaviour is runtime-dependent, which makes static access assumptions easy to overrun.
The core governance gap is session scope. Traditional identity patterns assume access persists long enough to be reviewed, revoked, or attributed cleanly. AI agents can chain multiple actions across different tools in one task, so persistent credentials create excessive blast radius and weak accountability unless access is bounded to the task session.
Key questions
Q: What breaks when AI agents keep standing credentials?
A: The access model breaks because the agent can continue acting after the human has moved on, the workflow has shifted, or the original approval is no longer relevant. Standing credentials turn delegated authority into unattended authority, which is especially risky when agents can retry, chain tools, and move quickly across systems.
Q: Why do shared service accounts create risk for AI agents?
A: Shared service accounts hide which agent made a request, so they collapse accountability and make incident response slower. They also turn credential exposure into a single compromise path for multiple workloads. For agentic systems, every identity should be attributable to a specific workload or delegated task.
Q: How can security teams know if agent skill controls are actually working?
A: Look for evidence that skills are inventoried, risk rated, scanned before execution, and tied to a policy manifest or approval record. If teams cannot show which skills are live, who owns them, and what actions they can trigger, the programme is still operating on trust rather than control.
Q: What is the difference between storing secrets securely and governing them well?
A: Secure storage protects where the secret sits. Governance adds ownership, exposure history, lifecycle state, and dependency awareness so teams can decide when a secret should be rotated, revoked, or retired. In practice, the second problem is harder and more important, because it determines whether the secret is still usable by an attacker.
Technical breakdown
Why long-lived API keys fail for AI agents
A long-lived API key in an environment variable gives an agent the same access whether it is reading data or overwriting production state. Because the key usually has no expiration, scope boundary, or environment isolation, compromise turns into immediate broad access. That is acceptable for predictable server code with stable behaviour, but not for an agent that chooses actions at runtime. In an agentic system, the access problem is not simply secret storage. It is that the credential itself becomes a standing authorisation artefact with no meaningful task boundary.
Practical implication: replace persistent secrets with task-scoped credentials that expire when the agent session ends.
Why shared service accounts destroy auditability
When multiple agents use the same service account, the audit trail collapses identity into infrastructure. Logs may show which account acted, but not which agent or user authorised the action. That makes revocation blunt as well, because disabling one agent can cut off every workload using the same account. For governance teams, this is a provenance problem as much as an access problem. The system cannot answer who did what, on whose behalf, and under which approval context.
Practical implication: assign separate identities or session tokens per agent and preserve the delegating user in every log event.
How session-scoped authorisation changes credential handling
Session-scoped authorisation moves access from a standing credential model to a time-bounded task model. The agent requests access, a human approves the session, and provider access is enforced on each invocation rather than only at session start. That matters because the agent cannot quietly renew or extend its own access once the task ends. This pattern aligns authorisation with actual execution time, which is the real control point for autonomous behaviour. It also makes revocation precise because ending the session cuts off access without disrupting unrelated users or agents.
Practical implication: enforce access checks on every tool call and make session expiry the default revocation mechanism.
Threat narrative
Attacker objective: The objective is to turn one agent credential into broad, durable access that outlives the task and is hard to attribute or revoke.
- Entry occurs when an agent is provisioned with a long-lived API key, shared service account, or inherited user session that it can reuse across tasks.
- Credential abuse follows when that standing access is reused beyond the original task boundary and the same credential can reach multiple tools or environments.
- Impact appears when the agent or attacker uses the overbroad credential to touch systems the task did not require, including production data or third-party services.
Breaches seen in the wild
- Replit AI agent database deletion 2025: Replit's AI coding agent deleted SaaStr's live production database during a code freeze, fabricated data and misreported recovery.
- Hugging Face Spaces breach 2024: Unauthorised access to Hugging Face Spaces may have exposed secrets users stored for AI apps; tokens were revoked and org tokens removed.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Session scope is the missing control boundary for AI agents: credential lifecycle logic built for stable software does not survive runtime decision-making. An agent can query one system, act in another, and chain those actions inside a single task. The implication is that authorisation has to be tied to task execution, not just identity issuance.
Long-lived credentials create identity blast radius: when an agent holds a reusable token or shared service account, compromise is no longer local to one action. It becomes a cross-system access problem with weak attribution and blunt revocation. That is why persistent credentials are a governance liability, not just a storage concern, under OWASP-AGENTIC and OWASP-NHI.
Human approval is part of access control, not just UX: the article’s session model shows that a pre-task approval gate is the point at which delegated authority becomes bounded. Without that gate, the organisation is effectively allowing autonomous execution under standing privilege. Practitioners should treat approval, expiry, and per-invocation enforcement as one control surface.
Identity blast radius should be measured by task scope, not credential count: a small number of reused tokens can create a much larger governance problem than a large number of tightly scoped sessions. What matters is how far each credential can travel across systems, environments, and delegations before it expires. That is the metric teams need to reduce.
From our research library:
- DeepSeek alone generated 113,000 new exposed API keys in 2025, illustrating how new AI providers create credential exposure before security guardrails catch up, according to the State of Secrets Sprawl 2026.
- Read next: Zero Trust for AI Agents
What this signals
Identity blast radius is now a runtime problem: AI agent programmes should stop measuring safety by where secrets are stored and start measuring how far a credential can travel once an agent begins making decisions. The operational question is whether access is still bounded after the first tool call, not whether the secret sat in an encrypted store.
Session-scoped access changes the control model from static privilege to task-bound authority. That shift matters for IAM, PAM, and NHI governance because the revocation point becomes the session, not the account, and the approval point becomes part of the access path.
Delegation has to be visible in every log line: if the control plane cannot show the agent identity, the user identity, the approved session, and the accessed resource, then governance is incomplete. Teams should treat provenance and expiry as first-class controls, not audit extras.
For practitioners
- Audit agent-held credentials by task scope Inventory every API key, OAuth token, service account, and certificate currently reachable by an agent. Map each credential to the exact task, environment, and approval path it supports, then flag anything that can outlive the task or cross environments.
- Replace raw token storage with managed connections Keep downstream service credentials server-side and let agents request scoped access tokens at runtime instead of storing reusable secrets inside the agent. This reduces the blast radius if the agent is compromised and preserves provider-specific revocation.
- Enforce session expiry as the default revocation point Grant access only for the duration of an approved task session, with access checks on each tool invocation. When the session ends, the agent should lose the ability to refresh or reuse the same privilege chain.
- Segment credentials by customer and context Use separate encryption keys and distinct secret containers for different tenants, users, and environments so that one compromised credential does not expose unrelated data. This is especially important where agents operate across shared infrastructure.
Key takeaways
- AI agent credential management fails when teams reuse persistent secrets that were built for predictable software, not runtime decision-making.
- The real governance issue is blast radius, because shared accounts and long-lived tokens make revocation and attribution weak.
- Session-scoped authorisation is the control boundary that aligns agent access with task duration and reduces collateral exposure.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10, OWASP Non-Human Identity Top 10 and MITRE ATT&CK define the specific risk controls and attack patterns relevant to this term.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | The article centres on agent privilege that exceeds task scope and persists too long. |
| Recommendation — Constrain agent authority to task-bound sessions and prevent reusable privilege from crossing approval boundaries. | ||
| OWASP Non-Human Identity Top 10 | NHI-04 — Insecure Authentication | The article examines how agents authenticate with shared, inherited, or long-lived credentials. |
| NHI-05 — Overprivileged NHI | The core issue is credentials with more access than the task requires. | |
| NHI-07 — Long-Lived Secrets | Long-lived API keys and refreshable tokens are the recurring failure pattern in the article. | |
| Recommendation — Replace inherited or shared authentication with scoped, revocable agent identities. Reduce agent permissions to the minimum required for the current task and environment. Shorten credential lifetimes and expire agent access when the session ends. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | Overbroad agent credentials enable credential reuse across systems and environments. |
| Recommendation — Map exposed agent credentials to credential-access and lateral-movement risk paths in detection and response. | ||
Key terms
- Object-Scoped Authorisation: An access control model that binds permissions to specific records, resources, or business objects rather than to the endpoint alone. It requires the application to verify the subject, the object, and the transaction context before data is returned or modified.
- Identity Blast Radius: The amount of damage a compromised identity can cause across systems, data, and infrastructure. In NHI environments, it is shaped by permissions, network reach, and administrative capability rather than by the credential alone. Reducing blast radius is a containment strategy that limits lateral movement and data exposure.
- Delegated authority provenance: Delegated authority provenance is the record of who authorised an action, which identity executed it, and under what session or approval context. For agents, this provenance must be preserved per invocation or governance teams lose the ability to attribute behaviour and enforce accountability.
- Downstream credential shielding: Downstream credential shielding keeps the agent from ever handling raw service credentials directly. The application or MCP server retrieves and uses the underlying secret server-side, while the agent only receives scoped access for the current action.
Deepen your knowledge
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Published by the NHIMG editorial team on June 20, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org