AI systems are rapidly becoming part of enterprise operations, software platforms, automation pipelines, and customer-facing applications. Organizations are deploying large language models and generative AI tools faster than ever before. However, many businesses are still underestimating the security risks that come with these systems. Traditional software testing alone is no longer enough for modern AI applications. AI systems can behave unpredictably when exposed to adversarial prompts, malicious users, or unexpected inputs. This is why AI red team testing is becoming one of the most important practices in enterprise AI security. Why AI Systems Require Specialized Security Testing Unlike traditional software, AI models generate responses dynamically based on prompts, context, and user interactions. This creates entirely new attack surfaces that conventional QA and cybersecurity testing methods may fail to identify.…