CYBERSECURITY CHALLENGES IN THE ERA OF AI

Abstract

Artificial Intelligence (AI) and cyber security, the environment has been transformed. Using technology, more elaborate cyber-attacks can be carried out, and automated, predictive defensive systems can be implemented. The more traditional and archaic forms of cyber security are becoming increasingly ineffective in the face of cyber threats and malware powered by AI. Automated phishing attacks, deepfake identity fraud, and machine learning adversarial attacks and breaches are just a few of the threats posed by the new AI systems. This paper investigates the sheer volume of AI-related cybersecurity threats in communication networks, healthcare, finance, and government. This study investigates the contradictions that come with cyber security and the enhanced issues brought from the advancements in AI. Using qualitative and critical reasoning, the paper analyzes academic works, policy documents, and cyber incidents. It finds nagging deficiencies in AI systems, particularly model manipulation, data poisoning, and a huge reliance on extensive data frameworks instead of more artificial systems. Ethics, legality, and privacy amplify the critique, especially the issues of surveillance and data misuse.AI helps with incident tracking and detecting threats in real time. Since it works alone and automates processes, it makes hacking easier for ill-intentioned people. Because of this, the report states that there is a need for a comprehensive layered approach in cyber security that includes AI Tech and people, ethical control, and adaptive regulations. All in all, this report reveals the continued need for multi faceted innovation, cross disciplinary collaboration, and active global partnerships to address the challenges of cyber security in the age of AI in order to provide safe and dependable digital spaces.