AI-driven products expose organizations to a range of vulnerabilities – such as model poisoning, prompt injection, and data leakage – that do not exist in traditional software. Because these risks are unique, they require security tests designed specifically for AI workloads. However, even the best individual test cannot uncover every weakness. Robust protection requires a combination... https://theenterpriseworld.com/ai-software-security-testing/