AI Powered Threat Detection in Cybersecurity

Abstract

Since cyber threats are becoming more complex in scale frequency and novelties the traditional methods of the cybersecurity industry are becoming insufficient in detecting and preventing malicious behaviors in real time Artificial intelligence has been proposed as a breakthrough in cybersecurity defense that can detect threats more efficiently by providing systems with the ability to learn new attacks based on large pools of data identify patterns and evolve to react to new vectors this paper investigates the integration of AI into cybersecurity systems with its emphasis on machine learning as one of the techniques employed to detect anomalies malware phishing and advanced persistent threats it also evaluates different AI models.