Security Information and Event Management (SIEM) is a great solution that helps identify threats and analyze security events to develop security incident response in real-time using ample amounts of data sources. The Next Generation SIEM uses Artificial Intelligence (AI) and Machine Learning (ML) methodologies to detect malicious events. This comprehensive blog is developed to provide the significant features of Next Generation SIEM that could enhance your organization’s security posture.

What is Next Generation SIEM?

The Next Generation SIEM will ingest both log and flow data and use threat models to identify the threats. These complicated threat models help to detect and match threat behaviors to find the type of threat, such as a DDoS attack, brute force attack, malware infection, APTs loss of credentials, or insider attack. It will leverage ML to identify the unusual behaviors of the device, application, or user.

Further, correlate these events with other rule triggers into a threat model. If a match is identified, the alert is triggered to aggregate individual threat behaviors under the Single Line Alert on the UI. The best Next-Gen SIEMs will be designed to identify the threats in less time becoming active. It helps mitigate brute force attacks, compromised credentials, and insider threats before accessing critical data.