Best Practices
Recommendations for implementing AI security effectively.
Defense in Depth
Don't rely on a single layer of protection. Implement multiple security measures:
- Input validation before sending to TalonAI
- TalonAI analysis for threat detection
- Output scanning before returning to users
- Rate limiting and monitoring
API Key Security
Do
- Store keys in environment variables
- Use different keys for dev/staging/prod
- Rotate keys regularly
- Set minimum required permissions
Don't
- Commit keys to version control
- Share keys between applications
- Use keys in client-side code
- Log API keys
Error Handling
Always handle TalonAI errors gracefully:
try {
const result = await talon.analyze({ content: userInput });
if (!result.isSafe) {
// Log the threat for review
logger.warn('Threat detected', { analysisId: result.id });
// Return safe error to user
return { error: 'Unable to process request' };
}
} catch (error) {
if (error.code === 'RATE_LIMITED') {
// Implement backoff
await delay(1000);
return retry();
}
// Fail safely - block request if analysis fails
logger.error('TalonAI error', error);
return { error: 'Service temporarily unavailable' };
}Performance
- Use async/parallel - Analyze multiple items concurrently
- Set timeouts - Don't let security checks block indefinitely
- Cache results - Cache analysis for identical inputs (short TTL)
- Use streaming - For long responses, use streaming mode
Monitoring
Set up monitoring for:
- Threat detection rate (sudden spikes may indicate attacks)
- Block rate (too high may indicate misconfiguration)
- Latency metrics (p50, p95, p99)
- Error rates and types
Compliance
For regulated industries:
- Enable audit logging for all requests
- Use appropriate PII redaction policies
- Configure data retention settings
- Review compliance reports regularly