Large language models (LLMs) remain vulnerable to adversarial attacks that bypass safety controls an

Large language models (LLMs) remain vulnerable to adversarial attacks that bypass safety controls and produce unwanted content. To help engineering and security teams identify these vulnerabilities systematically, Red Hat OpenShift AI includes an automated red teaming (ART) pipeline. This tool converts enterprise policy documents into targeted adversarial attacks, generating clear metrics and reports that highlight risks before models reach production.The starting pointTo guard against adversarial queries, teams typically start with a 2-layer defense combining safety alignment baked into the mvia Red Hat Blog https://ift.tt/H0NpUuG