How SIEM is evolving in 2020

The evolution of Security Information and Event Management (SIEM) is closely linked with the advancements in cloud computing, which have introduced both technological innovations and new security challenges. As cloud infrastructures become more ephemeral, ensuring visibility and comprehension of components becomes increasingly complex. Additionally, the costs associated with network traffic monitoring in the cloud can hinder effective security measures. SIEM solutions have evolved from expensive, on-premise systems with limited scalability to cloud-based solutions that leverage elastic computing resources and machine learning for better data analysis and threat detection. However, the abundance of data can overwhelm users, necessitating new-generation SIEMs that emphasize operational capabilities, data optimization, and integration with third-party systems. These modern solutions aim to reduce false positives and enhance security insights through AI and machine learning, promoting a comprehensive understanding of user and entity behavior. This enriched approach to data, combined with the ability to correlate diverse events, is critical for detecting threats such as advanced persistent threats and DDoS attacks, ultimately offering actionable intelligence and recommendations to organizations.