Building trust through AI red teaming: Red Hat's approach to testing model safety (opens in new tab)

In the last few years, large language models (LLMs) have moved from research labs to production systems powering critical business functions. This rapid adoption poses a fundamental challenge for enterprises: How do you deploy AI with confidence when models can behave unpredictably under adversarial conditions? The question keeping IT leaders awake isn't if their AI will fail—it's when, and what will the consequences be?As we've already discovered, traditional software testing approaches fall...