Enterprise-grade key management for LLM APIs. Secure storage, automated rotation, granular access control, and complete audit trails for all your AI credentials.
Everything you need to securely manage, rotate, and monitor your LLM API keys across all providers.
Store all your LLM API keys in an encrypted vault with military-grade AES-256 encryption. Keys are never exposed in plain text after import.
Schedule automatic key rotation to maintain security best practices. Generate new keys, update applications, and revoke old keys seamlessly.
Define granular permissions for who can view, use, or manage each key. Integrate with your existing identity provider.
Track how each key is being used across your organization. Monitor costs, detect anomalies, and optimize key allocation.
Complete logging of all key-related activities. Know exactly who accessed what key, when, and from where.
Deploy across multiple regions with automatic failover. Your keys are always available when you need them.
All keys encrypted with AES-256-GCM using unique data encryption keys per key entry.
TLS 1.3 for all communications. Perfect forward secrecy for all API calls.
Granular RBAC with least-privilege principles. MFA required for all admin operations.
Real-time monitoring of all access patterns with automated threat detection.
Automated, zero-downtime key rotation in four simple steps
System automatically generates a new API key through the provider's API or guides you through manual creation.
New key is validated against the provider's API and tested with sample requests to ensure functionality.
Seamlessly update all connected applications with the new key. Zero downtime during the switch.
After grace period, old key is automatically revoked. Full audit trail maintained for compliance.
# Initialize the key management client from keyvault import KeyManager manager = KeyManager( vault_url="https://vault.yourcompany.com", credentials="path/to/credentials.json" ) # Retrieve a key for use api_key = manager.get_key( provider="openai", environment="production", auto_rotate=True ) # Use the key with your LLM client import openai client = openai.OpenAI(api_key=api_key) response = client.chat.completions.create( model="gpt-4", messages=[{"role": "user", "content": "Hello!"}] ) # Audit log is automatically created print(f"Request logged with ID: {response.audit_id}")
Complete observability solution for monitoring and debugging your LLM applications with detailed traces and analytics.
Distribute requests intelligently across multiple API keys to maximize throughput and avoid rate limits.
Implement secure OAuth2 authentication for your LLM API proxies with enterprise identity integration.
Comprehensive audit logging for compliance, security analysis, and operational insights.
Start managing your API keys with enterprise-grade security. Free tier available for small teams.