Artificial Intelligence
Data Coverage Evaluation
Evaluate the relevance, completeness, and balance of training, testing, and operational data
AI Integrity Evaluation
Perform AI integrity evaluation through model validation, verification, and testing.
Adversarial Testing
Evaluate machine learning models against adversarial threats of evasion, poisoning, extraction and inference.
Continuous Assurance
Evaluate real-time robustness and safety-related risks of AI-enabled systems within an operational context.