Testing Your Deployments

Learn how to test and validate your AI model deployments for reliability, performance, and safety.

Testing Framework

Centrify provides a comprehensive testing framework to ensure your AI deployments meet your requirements:

• Functional testing for expected outputs
• Performance testing for latency and throughput
• Safety testing for content filtering
• Regression testing for version updates

Test Suites

Create and manage test suites to validate different aspects of your deployment:

• Input/output validation tests
• Edge case handling
• Guardrail effectiveness tests
• Load testing scenarios

Automated Testing

Set up automated testing pipelines to continuously validate your deployments:

• CI/CD integration
• Scheduled test runs
• Alerting on test failures
• Historical test results and trends

Evaluation Metrics

Monitor key metrics to assess the quality and performance of your deployments:

• Response accuracy
• Latency percentiles
• Error rates
• Guardrail effectiveness
• Cost efficiency