Agent evaluation and testing methodologies

Effective testing of AI systems requires a comprehensive approach that combines multiple methodologies to ensure safety, security, and reliability. Giskard provides tools and frameworks for implementing robust testing strategies.

Key Testing Approaches in Giskard

Business failures

AI system failures that affect the business logic of the model.

AI Business Failures
Security vulnerabilities

AI system failures that affect the security of the model.

AI Security Vulnerabilities
LLM scan

Giskard’s automated vulnerability detection system that identifies security issues, business logic failures, and other problems in LLM applications.

Detect security vulnerabilities in LLMs using LLM Scan
RAG Evaluation Toolkit

A comprehensive testing framework for Retrieval-Augmented Generation systems, including relevance, accuracy, and source attribution testing.

Detect security vulnerabilities in LLMs using LLM Scan
Adversarial testing

Testing methodology that intentionally tries to break or exploit models using carefully crafted inputs designed to trigger failures.

Create test datasets
Human-in-the-Loop

Combining automated testing with human expertise and judgment.

Review tests with human feedback
Regression Testing

Ensuring that new changes don’t break existing functionality.

Compare evaluation results
Continuous Red Teaming

Automated, ongoing security testing that continuously monitors for new threats and vulnerabilities.

Continuous red teaming

Testing Lifecycle

1. Planning Phase

  • Define testing objectives and scope

  • Identify critical vulnerabilities and risks

  • Design test strategies and methodologies

  • Establish success criteria and metrics

2. Execution Phase

  • Implement automated testing frameworks

  • Conduct manual testing and validation

  • Perform adversarial and red team testing

  • Monitor and record results

Run and schedule evaluations
3. Analysis Phase

  • Evaluate test results and findings

  • Prioritize vulnerabilities and issues

  • Generate comprehensive reports

  • Plan remediation strategies

Compare evaluation results
4. Remediation Phase

  • Address identified vulnerabilities

  • Implement fixes and improvements

  • Re-test to verify resolution

  • Update testing procedures

Run and schedule evaluations

Best Practices

  • Comprehensive Coverage: Test all critical functionality and edge cases

  • Regular Updates: Keep testing frameworks and methodologies current

  • Documentation: Maintain detailed testing procedures and results

  • Automation: Automate repetitive testing tasks for efficiency

  • Human Oversight: Combine automated testing with human expertise