The Universal Standards for AI Testing and Validation

ReliaQuest argues that AI must meet continuous testing and validation standards before being trusted in high-stakes security operations and presents a framework of seven standards (Expert Validation; Safety Guardrails; LLM as Judge; Golden Datasets; Statistical Sampling; Transparency; Crowdsourced QA). The paper explains how these interlocking controls reduce risks like plausible-but-wrong outputs, prompt injection, drift, and optimization bias, and positions ReliaQuest’s GreyMatter platform as the operational implementation used by customers.