Tag: Microsoft Azure
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Unlocking Scalable Security Analytics: Explode Threat Analysis in Sentinel Notebooks
Take your investigations to the next level with Sentinel Notebooks. Learn how to explode threat analysis workflows using Python, Spark, and machine learning in Microsoft Sentinel Data Lake — turning data into faster, smarter insights. Read more
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Unlocking Scalable Security Analytics: How to Automate KQL Jobs in Sentinel Data Lake
Introduction In Part 4 of this series, we focused on optimizing KQL queries in Microsoft Sentinel Data Lake. Optimized queries are powerful for investigations, but sometimes you need to automate and repeat them. That’s where KQL jobs come in. A KQL job allows you to run scheduled queries across Sentinel Data Lake, store the results, Read more
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Unlocking Scalable Security Analytics: How to Optimize KQL Queries in Sentinel Data Lake
Introduction In Part 3 of this series, we covered how to onboard Microsoft Sentinel Data Lake. Once onboarding is complete, the next step is learning how to query your data effectively. Efficient Kusto Query Language (KQL) queries are critical for SOC teams during historical investigations. Well-structured queries reduce costs, accelerate investigations, and reveal meaningful patterns. Read more
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Unlocking Scalable Security Analytics: How to Set Up Sentinel Data Lake
Introduction In Part 1 of this series, we explained why pairing Microsoft Sentinel with a Data Lake matters. In Part 2, we demonstrated how the integration can save up to 75% annually. Now, in Part 3, you will walk through the onboarding process for Microsoft Sentinel Data Lake and see how it extends your existing Read more
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Unlocking Scalable Security Analytics: Save with Sentinel Data Lake
Introduction Microsoft Sentinel is a powerful, cloud-native SIEM that enables real-time detection and response. With its integration of Sentinel Data Lake, organizations can efficiently manage vast quantities of security data. However, as organizations scale, one question dominates every discussion: how much does it cost? Data ingestion, storage, queries, and analytics all carry price tags. Without Read more
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Unlocking Scalable Security Analytics: Why Pair Microsoft Sentinel with a Data Lake?
Enterprises generate enormous volumes of security data every day from endpoints, identities, applications, and cloud services. Microsoft Sentinel delivers powerful, cloud-native detection and investigation. However, storing and analyzing all of that data directly in Sentinel’s Log Analytics workspace quickly becomes expensive and inefficient. Recently Microsoft released Sentinel Data Lake which will solve this problem for Read more