Robustness Testing is the systematic evaluation of a system’s behaviour under adversarial, noisy, or out-of-distribution inputs to determine whether its outputs remain reliable and safe outside normal operating conditions. For AI models this includes adversarial perturbation testing, distribution-shift evaluation, and stress testing of edge cases. It is a required input to conformity assessment and broader trustworthy-AI evaluation frameworks.