Generative AI (GenAI) systems that rely on large datasets and complex algorithms, can become targets for cyberattacks such as data breaches, adversarial attacks, and exploitation of model weaknesses. Cybercriminals may attempt to manipulate AI models or steal sensitive information, which can lead to significant financial losses, reputational damage, and legal repercussions.