How do teams decide between personal tokens and shared tokens for AI gateway access?

Use personal tokens when access should follow an individual developer, and shared tokens when a tool or application must be managed independently of any one person. Shared tokens are easier to scope, revoke, and audit at the team level. The right choice depends on whether the priority is individual accountability or operational continuity for shared automation.

Why This Matters for Security Teams

The token choice is really a decision about identity continuity. Personal tokens tie gateway access to one person, which can help with accountability, but they create brittle operations when the same automation needs to survive leave, role changes, or on-call turnover. Shared tokens, by contrast, align better with managed services, but they can hide overuse and make attribution harder unless the team adds strong logging and ownership controls.

This is not a theoretical distinction. NHIMG research shows that 91% of former employee tokens remain active after offboarding, and 60% of NHIs are overused across more than one application in the 2025 State of NHIs and Secrets in Cybersecurity. That is the core risk with personal tokens in shared automation: they can outlive the person and silently accumulate access. Security teams should also treat token handling as a secrets-management problem, not just an IAM problem, because exposure often happens in tickets, chats, and code, as covered in the State of Secrets in AppSec and the broader Guide to the Secret Sprawl Challenge.

Current guidance suggests mapping the token type to the operating model first, then layering controls second. In practice, many security teams encounter token sprawl only after an offboarded developer, a leaked pipeline secret, or a gateway outage has already exposed the weakness.

How It Works in Practice

A practical decision starts with ownership. If a human is directly using an ai gateway for experimentation, debugging, or limited individual workflows, a personal token can support accountability because the credential lifecycle follows the developer. If the gateway is used by an application, integration, or shared automation, the better pattern is usually a shared token owned by the service, not by a person.

That shared token should still be treated as a non-human identity with a clear owner, defined scope, and a short rotation window. Best practice is evolving, but teams generally reduce risk when they combine least privilege, environment-specific scoping, and automated revocation with audit trails that show which workload used the token and when. The OWASP Non-Human Identity Top 10 is useful here because it frames token misuse as an identity lifecycle issue, not only a storage issue. NIST control families also reinforce this approach through access enforcement, account management, and credential handling in the NIST SP 800-53 Rev 5 Security and Privacy Controls.

• Use personal tokens for interactive work where attribution to one developer matters most.
• Use shared tokens for services, pipelines, and gateways that must keep running across staff changes.
• Bind shared tokens to a named workload or team owner, not to a generic mailbox or informal group.
• Rotate and revoke tokens automatically, especially after role changes, incidents, or inactivity.
• Log token use at the gateway so access reviews can separate human testing from system-to-system traffic.

When the gateway fronts multiple apps, supports contractors, or feeds downstream automation with poor provenance, these controls tend to break down because the same token gets reused faster than teams can review it.

Common Variations and Edge Cases

Tighter token ownership often increases operational overhead, requiring organisations to balance fast developer access against revocation discipline and audit quality. That tradeoff becomes sharper in shared staging environments, break-glass access, or platform teams supporting many applications. In those cases, personal tokens may look simpler at first, but they usually create more cleanup work later.

There is no universal standard for this yet, but current guidance suggests avoiding long-lived personal tokens for machine-to-machine gateway access unless the use case is truly individual and ephemeral. Shared tokens are usually the safer default for production automation, provided the team can prove who owns them, where they are used, and how they are retired. For higher-assurance environments, token policy should be paired with NHI lifecycle controls from the Ultimate Guide to NHIs and incident examples such as the Salesloft OAuth token breach, where exposed credentials became an access path rather than a mere configuration issue.

The main exception is ephemeral testing or temporary vendor integrations, where a personal token may be acceptable if it is short-lived, tightly scoped, and automatically revoked. Outside those narrow cases, shared tokens usually win for continuity, while personal tokens win for accountability only when the access truly belongs to a single operator.

Related resources from NHI Mgmt Group

• What is the difference between governing human access and governing AI agent access?
• How should security teams govern AI agents that use OAuth access?
• How should security teams limit the risk from AI agents that have access to production systems?
• How should security teams govern AI agents that can access enterprise systems?