Datadog Unveils Modern Approach to Cloud SIEM to Deliver Risk-Based Insights, Scalability, Cost Efficiency and Real-Time Detection

Core Insights - Datadog has introduced a modern Cloud SIEM solution that simplifies security management without the need for dedicated teams, enhancing onboarding and democratizing security practices [1][3][6] Challenges in Traditional SIEM - Existing SIEM solutions face integration issues, leading to fragmented visibility and delayed threat detection, which can overwhelm security teams as data volumes grow [2] - High false-positive rates in traditional systems contribute to alert fatigue, risking the oversight of critical threats [2] Datadog's Cloud SIEM Features - The solution utilizes modern architectures and machine learning for agility, scalability, cost-efficiency, and real-time threat detection [3][6] - Key features include: - Risk-Based Insights: Correlates real-time signals to prioritize security investigations, incorporating various entity types for threat detection [5] - 15-Months Retention: Offers a flexible economic model for threat detection capabilities, allowing organizations to scale security operations efficiently [5] - Security Operational Metrics: Provides insights into security team performance, helping optimize threat response strategies [5] - Content Packs and Integrations: Includes pre-built detection rules and over 30 integrations to accelerate threat detection and response [5] Customer Testimonials - Organizations like the University of Alabama at Birmingham have reported improved alert quality and security posture through the use of Datadog's Cloud SIEM [4] Company Overview - Datadog is a comprehensive observability and security platform for cloud applications, integrating various monitoring capabilities to support digital transformation and cloud migration [8]