Advanced Threat Detection Using Machine Learning Algorithms

Machine Learning Will Change the World

Abstract

In today's digital landscape, cybersecurity threats are increasingly sophisticated, necessitating advanced methods for threat detection. This study explores the application of machine learning algorithms to enhance the detection and mitigation of cyber threats. By leveraging anomaly detection and predictive analytics, the proposed approach improves the accuracy and efficiency of identifying potential security breaches. Our findings demonstrate that machine learning can significantly bolster cybersecurity defenses, providing a robust framework for proactive threat management.