Checklist · 4 minute read
AI Secrets Rotation Checklist: Keys That Reach Everything
AI provider keys buy compute on your account and frequently reach systems that did not need them. Inventory every key, scope them per application, rotate on a schedule without downtime, alert on anomalous usage, and know how to revoke one quickly when it appears somewhere it should not.
AI provider keys buy compute on your account and frequently reach more systems than intended. This checklist covers managing them, drawn from FISTA Solutions' AI enablement operational work.
What secrets does an AI system hold?
Six categories, each with its own rotation needs.
| Secret | Consequence if leaked |
|---|---|
| Model provider API key | Direct spend on your account |
| Agent service credentials | Actions in your systems |
| Vector or database credentials | Corpus access |
| Tool and integration credentials | Third-party system access |
| Webhook signing secrets | Spoofed events |
| Observability tool keys | Log access including prompts |
Inventory
You cannot rotate what you have not listed.
- Every secret used by AI systems listed
- Owner named per secret
- Systems consuming each secret recorded
- Creation date and last rotation recorded
- Scope and permissions of each recorded
- Storage location confirmed as a secrets manager
- Unused secrets identified and revoked
Scoping
Surgical revocation requires separate keys.
- One key per application or service, not shared
- Separate keys for production, staging, and development
- Permissions limited to what each consumer needs
- Spend limits applied per key where the provider supports it
- Model access restricted per key where supported
- Rate limits set per key where supported
- Personal keys eliminated from production paths
Rotation process
Overlap, verify, then revoke.
- Rotation schedule defined per secret type
- New secret issued before the old is revoked
- Both valid during a verified overlap period
- Traffic confirmed moved to the new secret
- Old secret revoked and revocation verified
- Rotation automated where the provider supports it
- Rotation tested in staging before production
Leak prevention
The common paths are well known and all preventable.
- Repository scanning for committed secrets enabled
- Pre-commit hooks blocking secret patterns
- Logging configured to redact credential patterns
- Error messages checked for credential inclusion
- No provider keys in client-side code
- Prompts checked for embedded credentials
- Support and ticket systems checked for pasted keys
Detection
Usage anomalies surface a leak before the invoice does.
- Provider usage monitored per key
- Alerts on unexpected volume
- Alerts on unfamiliar source regions
- Alerts on models you do not normally call
- Spend rate alerts configured per key
- Public repository scanning for your key patterns
- Provider leak notifications subscribed to
Incident response
Speed matters because spend accrues immediately.
- Revocation procedure documented and reachable
- On-call can revoke without waiting for an owner
- Time from detection to revocation measured
- Replacement issued and deployed quickly
- Usage during the exposure window quantified
- Provider contacted where spend recovery may be possible
- Root cause addressed, not just the key replaced
What are the most common failures?
One key shared across every system. Keys in client applications. No usage alerting. Rotation as a direct swap causing an outage. And no repository scanning, which is where most leaks originate.
Who should own this?
Security defines the policy; the team running each system owns its secrets and their rotation. Secrets owned centrally and used locally do not get rotated on schedule.
How often should it run?
Rotation per the policy â commonly quarterly for high-value keys â plus immediately on any suspected exposure or team member departure. Inventory reviewed quarterly.
What evidence should it produce?
The secrets inventory with rotation dates, scanning configuration and findings, alerting configuration, and any incident records with time to revocation.
What about keys held by vendors?
Your vendors hold credentials to your systems, and those need the same treatment: scoped, inventoried, rotated, and revoked at contract end.
Vendor credentials are frequently the longest-lived and least reviewed in an estate. Include them in the access review and verify revocation at offboarding. See AI vendor offboarding checklist.
What should you do first?
Check whether one provider key serves several of your systems. If so, splitting it is the change that makes every future revocation possible.
How FISTA Solutions helps
FISTA Solutions builds and operates production AI systems through AI agents, AI enablement, and forward deployed engineering: keys scoped per application so revocation is surgical, with usage anomaly alerts that surface a leak in hours rather than at invoicing, decisions documented with their reasoning, and handover that leaves your team able to maintain what was delivered. The record is 150+ projects for 50+ companies across 12+ countries.
To adapt this checklist to your environment, message FISTA on WhatsApp, or read AI access review checklist.
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Clear answers
Questions raised by this field note.
Straightforward guidance for evaluating scope, fit, and the next step.
01Why are provider keys high-value?
Because they buy compute billed to you. A leaked key is used immediately and can generate substantial spend before anyone notices, unlike many credentials whose abuse is slower.
02Why scope keys per application?
So one can be revoked without disrupting everything. A single shared key means revocation is an outage, which is exactly why people delay it during an incident.
03How do you rotate without downtime?
Issue the new key, deploy it alongside the old, verify traffic has moved, then revoke the old one. A direct swap produces a gap where requests fail.
04How do leaks happen?
Committed to repositories, pasted into tickets, logged in error messages, embedded in client applications, and included in prompts. All are common and all are avoidable.
05What detects a leak?
Usage anomalies â unexpected volume, unfamiliar source regions, or calls to models you do not use. Provider dashboards show these, and alerts on them catch a leak in hours rather than at invoicing.
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