AI AND MACHINE LEARNING IN SIEM: ENHANCING THREAT DETECTION AND RESPONSE WITH PREDICTIVE ANALYTICS

Abstract

In the modern digital world, many businesses are targets of cybercrime activities. Fortunately, organizations can stay ahead of cybercriminals and secure their sensitive, valuable data/networks by adopting advanced data security solutions like Security Information Event Management (SIEM). Contemporary SIEM systems leverage Artificial Intelligence (AI) and Machine Learning (ML) to enhance fast and effective detection of security threats while improving security capabilities through automated predictive analysis and response power. This study reviews how the adoption of AI and ML algorithms in SIEM solutions helps address threat detection and the key features and benefits that come with this adoption.