AI-driven systems have become prime targets for sophisticated cyberattacks, exposing critical vulnerabilities across industries. As organizations increasingly embed AI and machine learning (ML) into their operations, the stakes for securing these systems have never been higher. From data poisoning to adversarial attacks that can mislead AI decision-making, the challenge extends across the entire AI/ML lifecycle.…