What’s the right way to handle leaked credentials if I use multiple cloud providers?

The right way is to treat credential leakage as an incident, not just a password reset, and to have a provider-agnostic response playbook that works across AWS, Azure, GCP, and any SaaS tools you use.

Core principles

1. Assume compromise until proven otherwise

   • Revoke the leaked credential immediately.
   • Do not “wait and see.”

2. Contain first, investigate second

   • Disable the secret/key/token.
   • Rotate any dependent credentials.
   • Check for signs of abuse before restoring access.

3. Use short-lived, centrally managed credentials

   • Prefer SSO, federation, workload identity, and temporary tokens over long-lived static keys.
   • The less permanent the credential, the less damage from leaks.

4. Have one standard process across providers

   • Different clouds have different tools, but your workflow should be the same:
     • detect
     • revoke
     • rotate
     • review logs
     • patch the source of exposure
     • monitor

Recommended incident response steps

1) Identify what leaked

Classify the secret:

• User password
• API key
• OAuth client secret
• Cloud access key
• Service account key
• SSH private key
• CI/CD token
• Database credential

This matters because the revocation and rotation method differs.

2) Revoke or disable immediately

Examples:

• AWS: deactivate/delete access keys, rotate IAM credentials, invalidate session tokens if applicable
• Azure: rotate app registrations/client secrets, revoke refresh tokens, disable service principals if needed
• GCP: disable service account keys, rotate OAuth secrets, revoke tokens
• SaaS: revoke API tokens and connected app grants

If you can’t tell whether the secret was used, still revoke it.

3) Scope blast radius

Determine:

• What account or service the credential could access
• What permissions it had
• Whether it was overprivileged
• Whether the credential was used in automation, CI/CD, or production workloads

Look for:

• New resources created
• Privilege escalation
• Unusual geographic access
• API calls outside normal patterns
• Access to secrets, billing, IAM, or identity services

4) Rotate everything related

A leaked credential often means more than one secret must change:

• If an app secret leaked, rotate backend DB passwords and downstream API tokens if the app could access them
• If a CI token leaked, rotate deployment credentials and check build artifacts
• If a cloud key leaked, rotate any keys stored in the same system or derived from it

5) Hunt for persistence

Attackers often use leaked cloud credentials to create persistence:

• New access keys
• New users/service principals
• IAM role trust changes
• OAuth app consent grants
• Scheduled tasks, lambda/functions, automation runbooks
• Backdoor SSH keys in instances

Review audit logs and identity change logs for the full window of exposure.

6) Fix the source of the leak

Find how it was exposed:

• Git repository
• Build logs
• Container image
• Shared drive
• Chat/issue tracker
• Local config files
• Public object storage
• Developer laptop

Then remove it from the source and any mirrors/caches. If it was committed to git, rewrite history if appropriate and rotate the secret anyway.

Multi-cloud specifics

Because you use multiple providers, it helps to centralize the following:

• Secret inventory: know where each credential lives and which app/service owns it
• Ownership mapping: who can rotate it
• Logging aggregation: unify audit logs from all clouds into one SIEM
• Identity federation: reduce separate passwords/keys by using SSO and workload identity
• Automated revocation playbooks: script revocation per provider

Prevention best practices

• Use a secret manager:
  • AWS Secrets Manager / Parameter Store
  • Azure Key Vault
  • GCP Secret Manager
• Prefer workload identity / federated identity over static keys
• Enforce MFA for human accounts
• Use least privilege
• Set key expiration and rotation policies
• Scan repos and CI pipelines for secrets
• Alert on secret creation, use, and unusual access
• Separate environments and accounts/projects/subscriptions

Good operating model

Create a single runbook with:

• Detection: secret scanning alerts, SIEM alerts, cloud audit alerts
• Triage: what type of secret, which provider, what access
• Containment: revoke/disable
• Eradication: remove source, rotate downstream secrets
• Recovery: restore service, validate integrity
• Lessons learned: why it leaked and how to prevent recurrence

Practical rule of thumb

If a credential is leaked:

• Revoke it immediately
• Assume the attacker used it
• Check logs for abuse
• Rotate anything it could access
• Replace static credentials with temporary/federated ones

If you want, I can give you a provider-by-provider leaked credential checklist for AWS, Azure, and GCP.