Adversarial attacks target the vulnerabilities of AI systems, regardless of how advanced they are. Since these systems rely on large datasets for training, they become attractive targets for malicious actors. Organizations that lack strong security measures and cybersecurity awareness are especially at risk. They can fall victim to data breaches, insider threats, phishing attempts, third-party risks, and other forms of cyberattacks that exploit weaknesses in AI infrastructure.
