> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mindlab.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Proving Ground Overview

> A high-level overview of the MindLab Proving Ground.

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.
