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Graylog is extending its SIEM (security information and event management) software with anomaly detection and user entity behavior analytics (UEBA) to provide organizations with a software suite that combines and streamlines security techniques designed to handle a wide range of risks related to insider threats, credential-based attacks, and other cyberthreats.
SIEM products and services combine log data collection and reporting with real-time analysis of security alerts generated by applications and network hardware. The features in Graylog’s new consolidated package — called Graylog Security and announced at its recent annual user conference — include AI and automation techniques and are meant to simplify risk management and make security teams more productive.
Read the original article: Graylog unites SIEM, AI-based anomaly detection in new security suite