OpenClaw Secrets Management: Safe Setup for Teams

In 2025, over 60% of AI-related security incidents involved leaked credentials — API keys, database connection strings, or access tokens that were accidentally exposed through AI agent interactions, logs, or version control.

OpenClaw makes AI agents powerful. But that power comes with a risk: every secret your agent can access is a secret your agent can accidentally leak. A poorly configured prompt, an overly verbose log, a debug session that gets committed — any of these can expose credentials that take seconds to exploit.

The good news? Secrets management in OpenClaw is solvable. With the right configuration, you can give your agents the access they need while keeping credentials safe. This guide shows you exactly how — with real commands, configs, and checklists you can implement today.

For teams that need the complete secrets management playbook including rotation automation and compliance templates, see The OpenClaw Security Guide.

OpenClaw supports multiple secret backends. The worst one? Environment variables scattered across your system. The best one depends on your team size and infrastructure.

For small teams (2-5 developers):

# openclaw.config.yaml
secrets:
  backend: encrypted_file
  file_path: .openclaw/secrets.enc
  encryption: aes-256-gcm
  key_source: env
  key_env_var: OPENCLAW_SECRET_KEY

# Generate your encryption key (do this ONCE, share securely)
openssl rand -hex 32
# Store as OPENCLAW_SECRET_KEY in your deployment environment

For larger teams (5+ developers) or enterprise:

# openclaw.config.yaml
secrets:
  backend: vault          # HashiCorp Vault, AWS Secrets Manager, etc.
  vault_addr: https://vault.internal.company.com
  vault_path: secret/openclaw/production
  auth_method: kubernetes  # or token, aws_iam, etc.
  cache_ttl: 300          # Cache secrets for 5 minutes
  auto_rotate: true

Never do this:

# BAD — secrets in plain text in config
secrets:
  openai_api_key: sk-abc123...
  database_url: postgres://admin:password@db.example.com/prod

# BAD — secrets in .env committed to git
# .env
OPENAI_API_KEY=sk-abc123...
DATABASE_URL=postgres://admin:password@db.example.com/prod

Verify your setup:

# Check which backend is active
openclaw config get secrets.backend

# Verify secrets are accessible but not visible
openclaw secrets list
# Should show: openai_api_key (encrypted), database_url (encrypted)
# Should NOT show actual values

Even with a proper secret store, your agent can accidentally expose credentials in its output. Secret redaction is your safety net — it automatically detects and masks credential patterns in all agent output, logs, and stored conversations.

Enable comprehensive redaction:

# openclaw.config.yaml
security:
  redact_secrets: true
  redaction_mode: mask       # Options: mask, hash, remove
  secret_patterns:
    # API Keys
    - pattern: "sk-[a-zA-Z0-9]{20,}"
      label: "OpenAI/Anthropic API Key"
    - pattern: "ghp_[a-zA-Z0-9]{36}"
      label: "GitHub PAT"
    - pattern: "xox[baprs]-[a-zA-Z0-9\-]+"
      label: "Slack Token"
    - pattern: "AKIA[0-9A-Z]{16}"
      label: "AWS Access Key"

    # Connection Strings
    - pattern: "postgres://[^\s]+"
      label: "Database URL"
    - pattern: "mongodb(\+srv)?://[^\s]+"
      label: "MongoDB URL"
    - pattern: "redis://[^\s]+"
      label: "Redis URL"

    # Generic Secrets
    - pattern: "-----BEGIN (RSA |EC )?PRIVATE KEY-----"
      label: "Private Key"
    - pattern: "Bearer [a-zA-Z0-9\-._~+/]+=*"
      label: "Bearer Token"

  # Custom patterns for your organization
  custom_patterns:
    - pattern: "INTERNAL-[A-Z0-9]{20}"
      label: "Internal Service Token"

Test that redaction is working:

# Create a test with a fake secret
echo "My API key is sk-test1234567890abcdef1234" | openclaw redact --test

# Expected output: "My API key is [REDACTED: OpenAI/Anthropic API Key]"
# If you see the actual key, redaction is NOT working

Important: Redaction is a safety net, not a primary defense. The agent shouldn't have access to raw secrets in the first place. But when things go wrong (and they will), redaction prevents credentials from ending up in logs, error reports, or user-facing output.

Not every agent needs access to every secret. Your code review agent doesn't need the database password. Your documentation agent doesn't need the AWS access key. Implement the principle of least privilege for secrets.

Define secret scopes per agent role:

# openclaw.config.yaml
agents:
  code-reviewer:
    secrets_access:
      - github_token         # Needs to read PRs
      # No database access, no cloud credentials

  deployment-bot:
    secrets_access:
      - aws_access_key       # Needs to deploy
      - database_url         # Needs to run migrations
      - github_token         # Needs to read code

  documentation-writer:
    secrets_access: []       # Needs NO secrets — reads public docs only

  data-analyst:
    secrets_access:
      - database_url_readonly  # Read-only DB access only
      # Not the read-write connection string

Verify scoping is enforced:

# Switch to the code-reviewer agent context
openclaw agent use code-reviewer

# Try to access a secret it shouldn't have
openclaw secrets get database_url
# Expected: ACCESS_DENIED — agent "code-reviewer" lacks access to "database_url"

# Access a secret it should have
openclaw secrets get github_token
# Expected: (value provided to agent, redacted in logs)

Why this matters: If a prompt injection compromises your documentation agent, the attacker gets... nothing. No API keys, no database access, no cloud credentials. The blast radius is zero. Without scoping, a compromise of any agent exposes every secret.

Static secrets are ticking time bombs. Every day a credential exists unchanged, the probability of it being compromised increases. Rotation limits the blast radius of any leak.

Configure automatic rotation:

# openclaw.config.yaml
secrets:
  rotation:
    enabled: true
    default_max_age_days: 90

    policies:
      - name: api_keys
        pattern: "*_api_key"
        max_age_days: 60
        notify_before_days: 14
        auto_rotate: true

      - name: database_credentials
        pattern: "database_*"
        max_age_days: 90
        notify_before_days: 21
        auto_rotate: false     # Manual rotation — requires migration

      - name: service_tokens
        pattern: "*_token"
        max_age_days: 30
        notify_before_days: 7
        auto_rotate: true

Check the current rotation status:

# See which secrets are due for rotation
openclaw secrets rotation-status --format table

# Example output:
# NAME              | AGE (days) | MAX AGE | STATUS
# openai_api_key    | 45         | 60      | OK (15 days remaining)
# github_token      | 88         | 90      | WARNING (2 days remaining)
# database_url      | 120        | 90      | OVERDUE (30 days overdue!)

Manual rotation procedure (when auto-rotate isn't possible):

# 1. Generate the new credential in the external service
# 2. Add it to OpenClaw (old and new coexist briefly)
openclaw secrets set database_url_new "postgres://new-credentials@..."

# 3. Test the new credential
openclaw secrets test database_url_new

# 4. Swap to the new credential
openclaw secrets rotate database_url --new-value-from database_url_new

# 5. Verify the application works
openclaw run --test "SELECT 1 FROM health_check"

# 6. Revoke the old credential in the external service

Set up rotation alerts:

# openclaw.config.yaml
alerts:
  channels:
    - type: slack
      webhook: ${SLACK_SECURITY_WEBHOOK}
  triggers:
    - event: secret_rotation_due
      severity: warning
    - event: secret_rotation_overdue
      severity: critical

The #1 way secrets leak: they get committed to git. Once in your git history, they're there forever — even if you delete the file in the next commit. Prevention is the only real solution.

Set up pre-commit secret detection:

# .pre-commit-config.yaml
repos:
  - repo: https://github.com/gitleaks/gitleaks
    rev: v8.18.0
    hooks:
      - id: gitleaks

# Install and test
pre-commit install
pre-commit run gitleaks --all-files

Configure .gitignore properly:

# .gitignore — security essentials
.env
.env.*
*.pem
*.key
.openclaw/secrets.enc
.openclaw/secrets.yaml
*.credentials
*secret*
!*secret*.example

For CI/CD pipelines:

# GitHub Actions example — use repository secrets
# NEVER hardcode credentials in workflow files

jobs:
  deploy:
    steps:
      - name: Configure OpenClaw
        env:
          OPENCLAW_SECRET_KEY: ${{ secrets.OPENCLAW_SECRET_KEY }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: |
          openclaw config set secrets.key "$OPENCLAW_SECRET_KEY"
          openclaw deploy --env production

Scan your existing git history for leaked secrets:

# Scan the entire git history
gitleaks detect --source . --verbose

# If secrets are found, you need to:
# 1. Rotate the compromised credentials IMMEDIATELY
# 2. Clean the git history (git filter-branch or BFG Repo Cleaner)
# 3. Force push (coordinate with your team first)

Related reading: our Security Audit Guide covers how to verify your full deployment is secure, and our Secure Setup Guide walks through initial installation best practices.

Prevention is important, but detection is equally critical. You need to know when secrets are accessed, by whom, and whether the access pattern looks normal.

Enable secret access logging:

# openclaw.config.yaml
audit:
  secrets_access:
    enabled: true
    log_level: info
    include:
      - accessor_identity    # Which agent/user accessed it
      - secret_name          # Which secret (NOT the value)
      - timestamp
      - source_ip
      - action              # read, rotate, create, delete
    exclude:
      - secret_value         # NEVER log the actual secret value

Set up anomaly alerts:

# openclaw.config.yaml
alerts:
  triggers:
    - event: secret_access_anomaly
      conditions:
        - type: unusual_accessor    # Agent accessing secrets it doesn't normally use
        - type: high_frequency      # More than 10 accesses per minute
        - type: off_hours           # Access outside business hours
      severity: critical
      channels:
        - slack
        - pagerduty

Regular audit queries:

# Who accessed what in the last 24 hours?
openclaw audit query --type secret_access --since 24h --format table

# Any failed access attempts? (potential attack probing)
openclaw audit query --type secret_access_denied --since 7d --format table

# Which secrets are accessed most frequently?
openclaw audit query --type secret_access --since 30d --group-by secret_name

Print this checklist and run through it with your team. Every "no" answer is a vulnerability waiting to be exploited.

Storage:

• Are all secrets stored in an encrypted backend? (not .env files, not environment variables)
• Is the encryption key itself stored securely? (not in the same repo)
• Is the secrets file excluded from version control?

Access Control:

• Does every agent have a scoped secrets policy? (not blanket access)
• Are individual API keys used per team member? (no shared credentials)
• Are departed team members' credentials revoked within 24 hours?

Rotation:

• Is every secret rotated at least every 90 days?
• Are rotation alerts configured and monitored?
• Has the rotation procedure been tested end-to-end?

Detection:

• Are pre-commit hooks scanning for secrets?
• Has the full git history been scanned for leaked credentials?
• Is secret redaction enabled in all agent output and logs?

Monitoring:

• Is secret access being logged and audited?
• Are anomaly alerts configured for unusual access patterns?
• Is there a documented incident response plan for leaked credentials?

This checklist covers the essentials for any team using OpenClaw. For enterprise environments with compliance requirements, the full playbook in The OpenClaw Security Guide adds GDPR data mapping for secrets, CCPA-compliant credential handling, SOC 2 control documentation, and automated compliance reporting.