THE INTERSECTION OF ARTIFICIAL INTELLIGENCE AND CYBERSECURITY: OPPORTUNITIES, THREATS, AND STRATEGIC IMPLICATIONS
Keywords:
Artificial Intelligence, Cybersecurity, Machine Learning, Intrusion Detection, Malware Classification, Anomaly Detection, Adversarial Attacks, Adversarial Training, Explainable AI, Security Automation, Threat Detection, Cyber Defense, Data Privacy, Machine Learning Algorithms, AI in Cyber Defense, Cyber ThreatsAbstract
An important development in the battle against ever-more-complex cyberthreats is the incorporation of Artificial Intelligence (AI) into cybersecurity. By looking at current applications, approaches, and new issues, this article investigates the relationship between AI and cybersecurity. We determine how AI improves threat detection, automates incident response, and makes predictive analytics possible through a qualitative meta-analysis of scholarly literature, industry case studies, and expert interviews. At the same time, we draw attention to the growing worries about model transparency, data privacy, and adversarial attacks. The results emphasise that although AI greatly improves cybersecurity capabilities, it also poses new risks that require careful consideration and strategic management. Recommendations for the responsible and safe integration of AI in cybersecurity systems are provided in the study's conclusion.
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