The relevance of resolving network intrusion issues in AI applications has increased due to the integration of artificial intelligence (AI) into vital infrastructure and daily life. While AI systems have many advantages, like improved productivity, automation, and decision-making, they also present new risks and weaknesses. It is essential to guarantee these systems\\\' dependability and security. The main cybersecurity issues related to AI are examined in this study, including data privacy, integrity, adversarial attacks, and the moral ramifications of AI in security. Artificial Intelligence (AI) has revolutionized several industries in the digital age, providing previously unheard-of chances for efficiency and creativity. Nevertheless, these developments provide intricate cybersecurity issues that affect people, businesses, and society as a whole. It is crucial to protect these systems from malicious assaults, unauthorized access, and unforeseen repercussions as AI becomes more and more integrated into everyday life and vital infrastructure. We examine important cybersecurity concerns in AI applications, including adversarial assaults, data privacy violations, ethical challenges, and AI-driven cyberthreats. It also looks at how Shapley Additive explainable AI contributes to transparency by making AI models easier to understand and providing insights into how decisions are made.
J.Bindhu Bhargavi (Thu,) studied this question.
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