A static defense is a losing strategy. The MindLab Evaluation Loop is powered by the Proving Ground, our continuous TEVV (Test, Evaluation, Validation, and Verification) engine, which functions as a dedicated Conformity Assessment Sandbox for emerging global standards like the NIST AI RMF and the European AI Conformity Assessment Framework. Our methodology is AI-Assisted Red Teaming (AART), a hybrid approach that combines the scale of automation with the creative insight of human experts. The performance of every agent is tracked against a clear set of metrics derived from the latest security research, including Attack Success Rate (ASR) and Attack Effectiveness Rate (AER). Our comprehensive metrics suite also includes scores for Negative Sample Rejection (to counter hallucination), Counterfactual Invariance, Positional Invariance (to counter the “Lost in the Middle” effect), and Referencing Accuracy.