Abstract: In the foreseeable future, the widespread adoption of artificial intelligence (AI) is anticipated to bring about a revolutionary transformation, impacting not only the economy but also society on a broad scale. The application of AI technology has the potential to automate hazardous and labor-intensive human occupations, thereby enhancing the overall quality of life. While the successful implementation of this technology promises significant benefits, it is imperative to address inherent challenges and concerns before its widespread utilization. This research examines the potential risks and apprehensions associated with AI, particularly in the domains of privacy, security, and discrimination. The authors advocate for the adoption of proactive measures, including thorough investigations, the establishment of regulations, and vigilant oversight. The study delves into the future trajectory of artificial intelligence, exploring both optimistic aspirations and legitimate concerns. In the contemporary landscape, hackers leverage a diverse array of AI-driven techniques to pose threats to governments, businesses, and individuals. The existing cyber defense mechanisms prove insufficient against these sophisticated cyber weapons. The incorporation of artificial intelligence into the realm of cybersecurity holds the potential to either elevate or diminish the current state of cyber security. This research aims to investigate how AI contributes to the defense against cyber attacks in the IT sector, with the overarching goal of enhancing cybersecurity. The significance of this study lies in its provision of tangible evidence regarding the positive impact of artificial intelligence technology on IT personnel, particularly in the context of implementing preventive measures against cyber attacks

Keywords: Artificial intelligence, Cyber Security, IT sector, Hackers, cyber attacks, privacy, security

Cite:
Charbhuja Javerilal Puniya, Raghavendra R, "AI-Powered Cybersecurity: Evaluating Strategies for Countering Threats in the IT Industry", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11304.

| DOI: 10.17148/IARJSET.2024.11304