TL;DR: Credential sprawl now spans passwords, API keys, service accounts, passkeys, SSO tokens, and AI-driven workflows, according to 1Password, which argues that unmanaged access raises breach risk, compliance pressure, and incident-response cost across the full identity surface. Governance has to move from protecting credentials in isolation to controlling every person, agent, secret, and workflow.
At a glance
What this is: This is a 1Password blog on how credential sprawl has expanded beyond passwords into AI-enabled workflows and unmanaged access paths.
Why it matters: It matters because IAM, IGA, PAM, and NHI programmes now have to govern credentials, secrets, and software identities as one access problem.
Context
Credential sprawl is the accumulation of passwords, secrets, tokens, passkeys, and other access artifacts across systems without consistent ownership, lifecycle control, or visibility. In this article, 1Password argues that the problem is no longer limited to human logins because AI tools and agents now create additional places where credentials are stored, reused, and exposed.
The governance gap is that many organisations still treat SSO, PAM, and secrets management as separate controls for separate populations. That model breaks down when the same environment includes people, service accounts, OAuth tokens, and AI-driven workflows that can all touch regulated data and operational systems.
Key questions
Q: What breaks when credential sprawl is not controlled across teams and tools?
A: Uncontrolled credential sprawl increases the number of places where secrets can be exposed, reused, or forgotten. That weakens auditability, makes access reviews harder, and raises the chance that old credentials remain active after a role change or project ends. It also creates blind spots for incident response and compliance evidence.
Q: Why do AI agents create a governance problem for IAM teams?
A: AI agents create a governance problem because they authenticate and act as autonomous software entities with tool access. If their actions are logged only as application activity, teams lose accountability, context, and revocation clarity. IAM must therefore extend to agent identity, delegated authority, and control-plane audit trails.
Q: How do teams know if credential sprawl is actually under control?
A: Credential sprawl is under control only when the organisation can identify every active credential, assign an owner, and prove that revocation and review are happening on a repeatable cadence. If departments still rely on local workarounds or shared logins, the programme is still operating with blind spots rather than governance.
Q: Should organisations prioritise password controls or API key governance first?
A: They should prioritise the credentials with the highest reach and least visibility, which are often API keys, tokens, and service accounts rather than passwords. Human authentication still matters, but backend credentials usually create broader blast radius when they are reused, shared, or left outside central oversight.
Technical breakdown
Why credential sprawl becomes an access governance problem
Credential sprawl is not just an inventory problem. It becomes a governance failure when credentials exist outside a consistent lifecycle, ownership, and approval model, so security teams cannot prove who can use them, where they are used, or when they should be removed. In modern environments, the same access artifact may appear in code, chat tools, CI pipelines, and AI workflows. That makes point-in-time control weaker than runtime governance. The central issue is not volume alone, but uncontrolled distribution across operational contexts.
Practical implication: build one credential governance model that covers issuance, usage, revocation, and review across all environments.
How AI workflows change credential exposure
AI-based tools and agents increase credential risk because they introduce new runtime consumers of secrets, tokens, and delegated access. These actors often need credentials to complete tasks, but their access patterns are not identical to human users, and they can move through workflows faster than conventional review cadences. That means the security question shifts from whether a credential exists to whether its use is bounded, observable, and tied to the right workflow. If governance only tracks human ownership, unmanaged access expands silently.
Practical implication: treat AI workflows as credential consumers that require explicit scope, visibility, and offboarding.
Why legacy SSO and PAM controls are not enough
SSO and PAM still matter, but they do not fully solve credential sprawl when credentials live in developer tools, SaaS integrations, backend services, and AI-assisted automation. Those controls were built to centralise access decisions for well-defined users and sessions, not to govern broad runtime access across human and non-human identities. The article’s deeper point is that access management now has to extend beyond login events. It must also cover how software identities authenticate, persist, and hand off access across systems.
Practical implication: extend governance beyond human logins to service accounts, API keys, tokens, and AI-driven task execution.
Threat narrative
Attacker objective: The attacker wants durable access to systems and data through credentials that were never fully governed, rotated, or revoked.
- Entry occurs when credentials are stored or shared outside governed systems, including codebases, chats, spreadsheets, and AI tools.
- Credential harvesting follows when attackers or insiders find exposed secrets, duplicated tokens, or unmanaged access artifacts that were never centrally tracked.
- Escalation and impact occur when broad backend permissions, reused credentials, or unmonitored AI access allow lateral movement and wider data exposure.
Breaches seen in the wild
- Okta support system breach 2023: A support service account credential saved in a personal Google profile let attackers take HAR files and hijack five Okta customers' sessions.
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
Credential sprawl is now an identity governance problem, not a storage problem. The article is right to frame unmanaged credentials as a governance failure because the real issue is not where secrets sit, but whether their use is bounded, reviewable, and removable across the lifecycle. Once credentials are distributed across humans, services, and AI workflows, the old assumption that access can be managed as discrete login events stops holding. Practitioners should treat credential sprawl as a cross-domain identity control problem.
AI agent governance collapses if access is only designed for human-paced review cycles. Access review processes were built on the assumption that privileges persist long enough to be certified and recertified. That assumption fails when AI tools and agents can request, use, and discard access as part of fast runtime execution. The implication is not just more review, but a rethink of what counts as governable evidence in the first place.
Wall-to-wall credential governance is the right concept because partial coverage creates false confidence. The article’s strongest insight is that organisations do not fail because they lack a password policy, but because they allow unmanaged exceptions across code, collaboration tools, automation, and software identities. A named concept here is runtime access governance gap: the distance between where credentials are issued and where they are actually consumed. Practitioners should close that gap before it defines their blast radius.
Secrets management alone is too narrow once software identities become active participants in business workflows. The discipline now has to connect provisioning, runtime access, offboarding, and monitoring across every identity type. That aligns more closely with OWASP NHI and NIST CSF access governance than with a narrow vaulting mindset. Teams that still separate human IAM from non-human governance will keep missing the places where credential sprawl becomes operational risk.
Compliance pressure is a symptom, not the root cause. The article correctly notes that standards such as SOC 2 and PCI DSS force organisations to prove control over credential access, but audit failure usually comes after the governance model has already broken. The deeper problem is uncontrolled distribution of credentials across systems that were never designed to be one access plane. Practitioners should treat compliance as evidence of a weak control model, not the control model itself.
What this signals
Runtime access governance gap: credential sprawl becomes dangerous when issuance, use, and revocation happen in different systems with no shared ownership model. That is the point where SSO and PAM stop being sufficient on their own, because the risk has moved into the spaces where software identities and AI workflows operate.
Security teams should expect credential governance to merge with NHI governance rather than remain a separate password-management exercise. The practical shift is toward treating every credential as an identity object with lifecycle, scope, and offboarding requirements, regardless of whether the user is human, a service account, or an AI-driven workflow.
For practitioners
- Establish a single credential inventory Map passwords, API keys, service accounts, passkeys, tokens, and SSH keys into one governed inventory with named owners and lifecycle states.
- Extend offboarding to non-human access Remove access not only when people leave, but also when integrations, agents, vendors, or workflows no longer need the credential.
- Review AI tool access paths Identify where AI assistants, agents, or automation systems can read, request, or reuse credentials outside approved vault and approval flows.
- Harden backend credentials first Prioritise OAuth tokens, API keys, shared logins, and service accounts because these often carry broad permissions and the largest blast radius.
- Tie compliance evidence to runtime usage Show auditors where credentials are stored, who owns them, when they were last used, and how revocation is enforced across systems.
Key takeaways
- Credential sprawl now matters because the control problem extends across people, service accounts, tokens, and AI workflows, not just passwords.
- The article ties unmanaged access to larger blast radius, harder compliance proof, and slower incident response, which makes lifecycle governance the deciding factor.
- Teams that still separate human IAM from machine and AI access will keep missing the identity paths where unmanaged credentials accumulate.
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 and MITRE ATT&CK address the attack and risk surface, while NIST SP 800-53 Rev 5, NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | The article centers on credentials surfacing across code, chat, and AI workflows. |
| NHI-05 — Overprivileged NHI | It highlights broad backend credentials and unmanaged access with excessive reach. | |
| NHI-07 — Long-Lived Secrets | The article warns that leaked credentials and tokens remain usable for too long. | |
| Recommendation — Scan and remove exposed secrets across code, collaboration tools, and automation paths. Right-size non-human access scopes and remove unnecessary credential privilege. Shorten credential lifetime and enforce revocation when access purpose changes. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Credential lifecycle management is central to the article's governance argument. |
| Recommendation — Manage authenticators through issuance, rotation, revocation, and secure storage controls. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article argues for unified control of access permissions across identities. |
| Recommendation — Review entitlements across human and non-human identities and remove excess access. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | Compromised credentials and broad access are the attack paths discussed in the article. |
| Recommendation — Map credential sprawl to TA0006 and TA0008 to prioritise exposed backend access. | ||
| NIST AI RMF | GOVERN — AI Governance and Accountability | The article frames AI-driven credential use as a governance and accountability issue. |
| Recommendation — Assign governance ownership for AI credential use and evidence across workflows. | ||
Key terms
- Credential Sprawl: Credential sprawl is the uncontrolled accumulation of machine secrets, keys, and tokens across systems, teams, and environments. It usually starts with a single use case and ends with overlapping permissions, unclear ownership, and a larger attack surface than the organisation expected.
- Runtime access governance: Runtime access governance is the practice of deciding and enforcing access based on current execution context rather than only on static assignment. For autonomous or semi-autonomous actors, it requires time-bound permissions, audit trails, and revocation logic that can keep up with live action.
- Software Identity: A software identity is the credentialed identity used by a service, workload, bot, or AI workflow to access systems and data. It must be governed like any privileged account because it can be over-scoped, reused, exfiltrated, or abused at machine speed.
- Blast Radius: The potential scope of damage if a specific credential or identity is compromised. Identities with broad permissions have a larger blast radius and represent a higher priority for least-privilege enforcement and security controls.
Deepen your knowledge
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Published by the NHIMG editorial team on June 10, 2026.
Updated on October 10, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org