Artificial Intelligence
![Data Coverage Evaluation](/siteassets/images/ai_-data-coverage-evaluation---552x320pxl.jpg?mode=crop&scale=both&quality=90&format=webp&width=820&height=471)
Data Coverage Evaluation
Evaluate the relevance, completeness, and balance of training, testing, and operational data
![AI Integrity Evaluation](/siteassets/images/ai_-integrity-evaluation---552x320pxl.jpg?mode=crop&scale=both&quality=90&format=webp&width=820&height=471)
AI Integrity Evaluation
Perform AI integrity evaluation through model validation, verification, and testing.
![Adversarial Testing](/siteassets/images/ai_-adversarial-testing---552x320pxl.jpg?mode=crop&scale=both&quality=90&format=webp&width=820&height=471)
Adversarial Testing
Evaluate machine learning models against adversarial threats of evasion, poisoning, extraction and inference.
![Continuous Assurance](/siteassets/images/ai_continuous-assurance---552x320pxl.jpg?mode=crop&scale=both&quality=90&format=webp&width=820&height=471)
Continuous Assurance
Evaluate real-time robustness and safety-related risks of AI-enabled systems within an operational context.