Jupyter Notebooks are remarkably versatile tools, even within Microsoft Sentinel’s data lake where current capabilities are limited. While Microsoft frequently highlights historical threat intelligence correlation and long-term threat hunting as use cases, notebooks unlock far more practical …

When discussing Microsoft Sentinel data lake, the narrative centers on immediate value: cheaper ingestion, long-term storage, and historical correlation. These benefits are real, but they don’t address some interesting options. Sentinel data lake with KQL Jobs and Notebooks transforms how SIEM …

In today’s big data landscape, establishing a proper data architecture is essential before you begin collecting data. As data generation continues to accelerate, making informed decisions about what to store, where to store it, and in what format become increasingly critical. In the age of AI, …

In today’s cybersecurity landscape, data models are crucial - they give data the structure and context it needs to be truly usable and effective. Standardized models act as a universal language, turning raw security data into actionable insights for rapid detection, efficient investigation, …

Microsoft has just introduced Sentinel Data Lake (SDL) in public preview, and there’s already a flurry of excitement in the cybersecurity world. Most community blog posts so far focus on how to turn it on and when you might want to use it, but very few delve into how it will change your …

Managing logs in a SIEM environment can be challenging, especially when aiming to design a solution that is extensible, highly available, future-proof, and reasonably priced. In this third installment of the ‘Powerful Capabilities of Data Collection Rules’ series, I show how the …

In the last post, we looked at the ‘Direct’ DCR that simplifies API-based data ingestion. Today, we’re looking at the AgentDirectToStore Data Collection Rule type, which gives you more options for where to send your data. The ‘AgentDirectToStore’ DCR lets the Azure …

DCRs are the modern backbone of data ingestion for Azure Sentinel, replacing legacy methods with a scalable, flexible, and consistent approach that uses a common data ingestion pipeline for all data sources. DCRs enable advanced filtering, transformation, and routing of data before it even hits your …

In my previous post, I demonstrated how to set up basic aggregated logging for firewall events using Fluent Bit, effectively reducing log ingestion costs in a way similar to Sentinel’s Summary rules. In this follow-up, I will walk you through a practical solution for storing these logs …