Before GenAI becomes part of enterprise workflows, it must be validated for accuracy, bias, security, privacy, compliance, and operational reliability. This blog explains how an AI assurance framework helps CIOs, CTOs, and QA leaders move GenAI from experimentation to governed production with confidence, measurable trust, and reduced deployment risk.
The post Before GenAI Scales, It Must Be Proven: The AI Assurance Framework first appeared on TestingXperts.
