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