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Audit Logging for AI/LLM Systems

Implement comprehensive logging for security, compliance, and forensic analysis

Log Volume Overview
24-hour log activity and error tracking
What to Log
Essential data points for AI/LLM applications per best practices
Request Logging
Required
timestamp
user_id
api_key
endpoint
method
ip_address
user_agent
Response Logging
Required
status_code
response_time
model_used
tokens_consumed
response_hash
Authentication
Required
auth_method
success
failure_reason
mfa_used
session_id
Error Tracking
Required
error_type
stack_trace
context
recovery_action
impact

Logging Configuration

Structured Log Format

{
  "timestamp": "2024-01-15T10:32:45.123Z",
  "log_id": "550e8400-e29b-41d4-a716-446655440000",
  "level": "INFO",
  "service": "llm-api",
  "environment": "production",
  "event": {
    "type": "completion_request",
    "user_id": "user_123",
    "session_id": "sess_abc123",
    "api_key_id": "key_xyz789",
    "model": "gpt-4",
    "endpoint": "/v1/completions"
  },
  "request": {
    "method": "POST",
    "ip": "192.168.1.100",
    "user_agent": "Mozilla/5.0...",
    "content_length": 1024,
    "prompt_hash": "sha256:a665a45920422f9d417e4867efdc4fb8a04a1f3fff1fa07e998e86f7f7a27ae3"
  },
  "response": {
    "status_code": 200,
    "duration_ms": 1250,
    "tokens_used": {
      "prompt": 150,
      "completion": 250,
      "total": 400
    },
    "response_hash": "sha256:b3a8e0e2f9c1d6e4a2c8f5d9e1b7a3d6c9e2f8a5b7d1e3c6a9f2b8d5e7c1a4b6"
  },
  "security": {
    "auth_method": "bearer_token",
    "tls_version": "1.3",
    "rate_limit_remaining": 95
  },
  "metadata": {
    "request_chain": ["api-gateway", "load-balancer", "llm-service"],
    "datacenter": "us-east-1",
    "pod_id": "llm-pod-7b9c6df7-x2m4n"
  }
}

Enterprise Audit Logging with ParrotRouter

ParrotRouter provides comprehensive audit logging with built-in compliance, tamper-proof storage, and advanced analytics. Meet regulatory requirements effortlessly.

References
  1. [1] OWASP. "OWASP Top 10 for LLM Applications" (2024)
  2. [2] NIST. "AI Risk Management Framework" (2024)
  3. [3] Microsoft. "LLM Security Best Practices" (2024)