• Gomanth Sainath Thota

Artificial intelligence has now become an integral part of modern cybersecurity. Enhancing capabilities in threat detection, incident response, and automation, AI can identify patterns as well as detect anomalies compared to traditional methods of using the same. On one hand, AI strengthens a defense, but on the other hand, it comes with new risks. Threat actors exploit AI vulnerabilities, thereby launching sophisticated attacks using adversarial attacks that mislead AI systems. This paper explores the deployment of AI in cybersecurity, specifically AI-based threat detection, countermeasures for adversarial attacks, and resilient defenses. It discusses theoretical models, including anomaly detection and game-theoretic approaches, so that AI's strategic application of adaptive defenses is made possible. Ethics and regulatory concerns to safeguard AI systems' transparency and fairness are highlighted. This study underlines that there is a requirement of a balanced approach toward enjoying the benefits of AI without compromising on the risk managed in cybersecurity.

AI in Cybersecurity, Adversarial Attacks, Threat Detection, Resilient Defense Strategies, Ethical and Regulatory Concerns

"Cybersecurity in the Era of Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.c500-c505, November-2024, Available :http://www.jetir.org/papers/JETIR2411263.pdf

"Cybersecurity in the Era of Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppc500-c505, November-2024, Available at : http://www.jetir.org/papers/JETIR2411263.pdf