Identify threats faster with a security data lake

Security teams are increasingly shifting their focus from merely collecting data to effectively analyzing complex and voluminous security data in real-time to produce actionable insights. Traditional Security Information and Event Management (SIEM) systems struggle to meet the modern demands of quick detection and response times, known as breakout time, which consists of detecting a threat in 1 minute, understanding it in 10 minutes, and responding within 60 minutes. A security data lake offers a promising solution by allowing data to be stored in its raw, granular form, retained for various uses over time, and accessed easily for comprehensive investigations. However, traditional data lakes face challenges in efficiency and cost due to their reliance on brute force technology, which demands significant computing resources. To address this, Starburst introduces Smart Indexing and Caching technology, which enhances data retrieval speed and efficiency by leveraging a rich suite of indexes, such as Bitmap and Bloom, without requiring special skills. This technology allows security teams to analyze data directly in the data lake, enabling fast and effective threat detection and response, while also integrating security data with business data through federated queries for a comprehensive view.