Bridging AI and Cybersecurity

Beesam, Samara Simha Reddy and Aeniga, Suchitha Reddy (2025) Bridging AI and Cybersecurity. International Journal of Science and Research Archive, 14 (2). pp. 1179-1185. ISSN 2582-8185

This has led to an entirely new era of quicker-than-extremely-quick firm AI will probably come, which in turn looms every great improvement in cybersecurity practice. Built into a security system: AI not only means that massive filing cabinets can be replaced by microfiche readers which are good enough for government work--it also adds incredible capabilities to the stored data itself. This means that although the quantities of data may soar a million billion-fold in any single category at a given point nowadays all those same numbers still do not cause a corresponding increase in different types of information. Em sophisticated Detection Mechanisms are an advanced alternative to traditional security measures, and so is the provision of automated response systems. Whilst machine learning algorithms excel at identifying subtle Threat patterns and potential vulnerabilities before exploit,ation, the addition of AI to security has a two-edged sword effect. The time taken to develop a basic attack vector is now practically non-existent, and attackers are increasingly using AI techniques to produce more subtle and complex threats. This has sparked an unprecedented technological arms race between defensive AI systems and AI-powered cyber threats, pushing organizations to adopt continuous means. They still need a field as complex as this one has now become. This means getting AI researchers, cybersecurity people, and regulators together, drawing up arrangements that will keep nations secure in every detail of security because they permit more freedom than rules ever could desire to allow if not carefully approach what we mean by security in terms pass out they'll use this power only extend scope without lawful constraints It provides a challenge of precisely how we might carry forward workable resolutions between autonomous systems born of Ai and human checks that are critically essential but which cannot be implemented too much computer-style in security practice. To be effective, it must also be ethically compliant Down the line, AI technology continues to advance. As the security landscape changes so rapidly, cyber defenders will face tough challenges in developing suitable measures. We can win in this changing digital arena only if we have cutting-edge technologies and human-type abilities.