OPTIMIZING SECURITY DETECTION SYSTEMS WITH MACHINE LEARNING TECHNOLOGIES

Abstract

The increasing sophistication of cyber threats and challenges necessitates the development of more advanced and adaptive detection 
systems. Traditional security mechanisms often fall short in identifying new or evolving threats, making it essential to adopt more intelligent approaches. This paper explores the potential of optimizing security detection systems using machine learning (ML) 
technologies to enhance their effectiveness and efficiency.