Long-lived service accounts and API tokens create more risk because exposure and exploitation can happen long before defenders notice. If the credential remains valid after discovery, the attacker can reuse it repeatedly and pivot through connected systems. The longer the lifetime, the larger the window for abuse and the harder it is to prove containment.
Why This Matters for Security Teams
Long-lived service account and API tokens turn a normal exposure into an extended compromise. The risk is not just that a secret can leak, but that it often keeps working after the leak is discovered, giving an attacker time to search, persist, and reuse access. That is why current guidance increasingly treats secrets lifecycle as a control problem, not a storage problem, as reflected in NIST Cybersecurity Framework 2.0. In the wild, NHIs are frequently copied into tickets, chat, and code, and Entro Security reports that 91% of former employee tokens remain active after offboarding in the 2025 State of NHIs and Secrets in Cybersecurity. That is the practical danger of lifetime, not just initial exposure.
Practitioners often underestimate how much damage a valid token can do once it is discovered. A single long-lived credential may unlock multiple systems, and if it is shared across workloads, the blast radius grows immediately. In practice, many security teams encounter the breach through abnormal use or downstream data access only after the secret has already been replayed across connected services.
How It Works in Practice
The main issue is that long-lived credentials break the assumption that access can be safely “set and forget.” A service account or API token often acts as a reusable bearer credential: whoever holds it can act as the workload until the token expires, is revoked, or is rotated. If expiration is measured in months or years, defenders get a very wide attack window. If the token is embedded in CI/CD, chat, or configuration, the token can also spread faster than the owner can track, which is why secret sprawl is so dangerous according to the Guide to the Secret Sprawl Challenge.
Operationally, better practice is to combine short TTLs, scoped privileges, and automated revocation. That means using:
- just-in-time issuance for credentials that exist only for the task at hand;
- workload identity so the system proves what it is, instead of relying on a static token alone;
- policy checks at request time, rather than assuming yesterday’s access is still appropriate today;
- rotation and revocation workflows that do not depend on manual ticket handling.
This is especially important for machine-to-machine access, where a compromised token can be copied instantly and replayed from anywhere. GitGuardian’s 2026 data shows that 64% of valid secrets leaked in 2022 are still exploitable today, which is a good reminder that detection without revocation is incomplete. The same pattern shows up in incidents such as the Salesloft OAuth token breach, where token theft translated into persistent access. These controls tend to break down when legacy integrations require fixed credentials and cannot support short-lived token exchange or automated renewal.
Common Variations and Edge Cases
Tighter secret lifetimes often increase operational overhead, requiring organisations to balance security benefit against integration complexity. That tradeoff is real in batch jobs, third-party connectors, and older platforms that cannot easily consume short-lived credentials. Current guidance suggests using the shortest practical TTL, but there is no universal standard for exactly how short “short-lived” should be across all environments. The right answer depends on blast radius, automation maturity, and whether the workload can re-authenticate without human intervention.
Some teams also assume that service accounts are safe because they are “non-interactive.” That is misleading. A non-interactive identity can still be overprivileged, reused across apps, or left active after the workload is retired. NHIMG research on the JetBrains GitHub plugin token exposure and the Dropbox Sign breach shows how a single exposed token can become a durable foothold. For that reason, maturity usually means pairing RBAC with JIT, continuous review, and ZTA principles rather than relying on token age alone. Standards such as NIST Cybersecurity Framework 2.0 support this direction, but implementation details still vary widely by platform and workload type.
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 address the attack and risk surface, while 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-03 | Long-lived tokens need rotation and revocation discipline. |
| NIST CSF 2.0 | PR.AC-4 | Least privilege limits what a leaked service account can reach. |
| NIST AI RMF | Lifecycle risk needs governed accountability and monitoring. |
Assign ownership for each secret, monitor usage, and trigger revocation on anomalies.
Related resources from NHI Mgmt Group
- Why do non-human identities create more risk than many human accounts?
- Why do non-human identities create more remediation risk than many human accounts?
- Why do service accounts and API keys create more risk than many human accounts?
- Why do API keys and service accounts create more risk than traditional user accounts?
