AI In Cybersecurity: Predictive Threat Detection And Response System

Abstract

The use of artificial intelligence (AI) in cybersecurity has changed the way threats are found and dealt with. This study looks into how to create and use a Predictive Threat Detection and Response System that uses AI technologies including machine learning, natural language processing, and behavioural analytics. The algorithm looks at huge amounts of data in real time to find strange patterns and predict how attacks will happen before they do. This AI-based method is different from standard reactive models since it improves situational awareness and cuts response time by a large amount, which lowers risks in a big way. The study shows how AI may help automate threat intelligence, make defence systems more flexible, and cut down on false positives. When AI is added to cyber defence frameworks, case studies and simulations show that they operate better and more accurately. The study ends by stressing how AI could change the way we think about cybersecurity and asking for ongoing innovation and ethical considerations as it becomes more widely used.