April 2026 Patch Tuesday discloses CVE-2026-20820 — a heap-based buffer overflow in Windows CLFS driver enabling local privilege escalation to SYSTEM. CVSS 7.8. Patch immediately: CLFS has a documented history as a ransomware kill chain component.
Many SOC teams struggle with alert overload and high false positives, not due to insufficient tools like Microsoft Sentinel, but because of poor detection strategies. Effective detection engineering focuses on enabling suitable rules for specific environments and emphasizes understanding log data, deploying detections strategically, and regularly reviewing their effectiveness to improve overall trust in alerts.
This guide presents a framework to optimize Microsoft Sentinel costs while maintaining security. Key cost drivers include unclassified log ingestion and inefficient KQL execution. By classifying logs, implementing Data Collection Rules, and separating retention tiers, organizations can minimize expenses and ensure compliance without compromising detection capabilities.
Microsoft Sentinel offers three storage options: Analytics Tier, Sentinel Data Lake, and Data Archive, each serving distinct purposes. Proper storage tiering is crucial to avoid high costs and inefficiencies. Understanding each tier’s intended use—detection, investigation, or compliance—is vital for effective security operations and maintaining a scalable system.
A comprehensive 2026 technical deep dive into Microsoft Sentinel’s evolution as a unified security data platform, covering architecture, Sentinel Data Lake design, DCR-based ingestion, normalization with ASIM, Defender integration, SOAR automation, and cost engineering strategies with practical KQL examples.
Onboarding Azure VMs and Arc-enabled servers to Data Collection Rules (DCRs) is critical for monitoring and security, but doing it manually can be time-consuming and error-prone. This blog introduces a PowerShell automation script that simplifies the process: it detects machine type, installs the Azure Monitor Agent if missing, associates machines with DCRs, and logs results for auditing. Ideal for both beginners and advanced Azure administrators, this solution saves time, reduces errors, and scales across multiple subscriptions effortlessly.
This guide outlines how to securely store Terraform state files in Azure Blob Storage to prevent accidental loss, enable team collaboration, and protect sensitive data. It details the steps for creating necessary Azure resources, configuring the backend, and best practices for security and version control, ensuring effective infrastructure management.
Step-by-step Terraform tutorial for beginners: create an Azure Resource Group and Log Analytics Workspace using variables and providers. Automate your Azure infrastructure easily!
Learn how to configure Log Caching Data Collection Rules (DCR) in Azure Monitor Agent to make your Microsoft Sentinel deployments resilient and reliable. This comprehensive guide explains why log caching matters, how to extend the cache up to 1 TB, which AMA versions support it, and step-by-step instructions to set it up in your environment. Perfect for beginners and experts managing Azure security monitoring.
If you’re new to Terraform and Azure, getting started can feel a little overwhelming. But don’t worry — creating your first Azure Resource Group with Terraform is simpler than you think! In this guide, I’ll walk you through the exact steps to set up your environment and deploy a resource group on Azure using Terraform….
