Published Paper Details:

This paper provides an in-depth analysis of the dual nature of AI that can be helpful for the security measures of data against cyberattacks as well as AI as a new brand of cyber threat. With the continued fast development of AI technology, its applications in cybersecurity also become more and more popular, which can enable organizations to have more advanced abilities to spot, block and react to cyber threats with amazing speed and accuracy than ever. Notwithstanding the merits , the spread of AI also brings with it new risks , as the number of bad actors who are leveraging advanced AI techniques to devise complex cyber attack vectors is increasing at an alarming rate [1]. This paper examines the compositional question between AI technology and cyber threats, which is complicated and multifaceted, and that covers the challenges and complexities associated with comprehending and mitigating AI-powered cyber threats. The focus of the paper is to apply a critical evaluation of the literature and research to the changing terrain of AI-based cyber threats and defenses. AI is the catalyst, and it is virtually invincible in the sense that it gets adapted every time it is detected. Also, there are endless possibilities for change when it comes to AI cyber attacks, and they can take the form of adversarial machine learning and AI-enabled social engineering, among other things [1]. The paper then scrutinizes mitigation procedures and top cybersecurity practices that are devised to curb emerging cyber threats including anomaly detection, behavior analysis and adversarial robustness benchmarks. This paper aims to provide a refined view on AI risks and opportunities in cybersecurity and, in such a way, inform the strategic decision-making and guide the efforts towards cyber resilience development in an increasingly AI-intensive environment.