Creating Cost-Effective, Scalable Detections | Rippling

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Previously, we explored the foundational elements of building a Security Information and Event Management (SIEM) system, from defining essential requirements for an effective SIEM to adopting a data lakehouse approach for log ingestion. In this blog post, the third part of this series, we’ll delve into creating detections and streamlining the alert flow. Before we dive into the technical aspects of detection creation and its architecture atop the lakehouse, let’s outline the requirements for the detection engine we aimed to develop. While developing security detections, we needed them to meet a set of standardized criteria and undergo automatic validation before production deployment. Essential attributes for each detection definition had to be identified, ensuring unique identification and effective categorization of generated alerts for efficient management and reporting. It was crucial to avoid discrepancies between detection logic and documentation. Additionally, detection definiti

Creating Cost-Effective, Scalable Detections Blog Engineering a SIEM part 3: Creating cost-effective, scalable detections Author Piotr Szwajkowski Read time 17 MIN Updated Aug 14, 2024 In this article Essential components for a robust detection framework Our approach to the detection engine Conclusion In this article Essential components for a robust detection framework Our approach to the detection engine Conclusion Previously, we explored the foundational elements of building a Security Information and Event Management (SIEM) system, from defining essential requirements for an effective SIEM

Creating Cost-Effective, Scalable Detections | Rippling

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