Query.AI
Best Practices for Security Data Pipelines
Pages
11
Time to read
15 mins
Publication
Language
English
Pages
11
Time to read
15 mins
Publication
Language
English
This whitepaper outlines best practices for developing security data pipelines that efficiently transfer telemetry data from various sources to cloud storage. It begins by addressing the challenges security teams face in managing increasing volumes of telemetry data from multiple sources, including EDR products and cloud infrastructure. The document emphasizes the importance of planning and structuring data pipelines to ensure that data is not only moved but also shaped for immediate usability in analytics, threat hunting, and investigations. Key considerations include identifying downstream consumers, determining source coverage, and establishing a destination and format strategy. The paper also discusses technical topics such as data shaping, normalization, compression, and partitioning, which are critical for optimizing performance and cost. By following these guidelines, organizations can create robust data pipelines that support compliance requirements and enhance their security operations.