AI-Powered MITRE ATT&CK Tagging for SOC Optimization
This post is part of an update series highlighting new https://learn.microsoft.com/en-us/azure/sentinel/soc-optimization/soc-optimization-access?tabs=defender-portal capabilities designed to help SOC teams maximize security value with less manual effort. In this post, we focus on AI-powered MITRE ATT&CK Tagging, which streamlines the process of aligning your detections with the MITRE framework. For an overview of our other recent updates, stay tuned for related posts in this series. Security teams rely on precise, consistent tagging to understand detection coverage, align with frameworks like MITRE ATT&CK, and respond effectively to threats. Yet in practice, tagging detections manually is error-prone, inconsistent, and resource-intensive — leaving gaps in coverage and missed opportunities for insight. To address this challenge, we’re excited to introduce a powerful new capability within SOC Optimization: AI MITRE ATT&CK Tagging. Problem Statement In today’s evolving threat landscape, aligning detection rules with the MITRE ATT&CK framework is critical for understanding and improving an organization’s security posture. MITRE tagging provides a common language to describe attacker behaviour, enabling security teams to assess their threat coverage, identify detection gaps, and drive a threat-informed defence. It powers key SOC experiences in Microsoft Sentinel, such as MITRE coverage views, use case recommendations, incident investigation context, and coverage optimization workflows. When tagging is missing or incomplete — for example, when only tactics are mapped without corresponding techniques — the ability to accurately assess protection against known adversary behaviours is weakened. This limits visibility into which threats are covered, complicates incident correlation, and prevents clear communication of coverage gaps to stakeholders. As a result, security teams struggle to prioritize detection improvements and risk leaving critical areas under protected. These gaps lead to: Incomplete visibility into coverage against known threats Limited ability to recommend or prioritize relevant use cases Fragmented alignment between detection rules and incident response workflows Without consistent MITRE tagging, teams spend valuable time manually reviewing and mapping rules — delaying threat response and reducing overall SOC efficiency. The Solution AI MITRE ATT&CK Tagging automates this process using artificial intelligence models that run directly in your workspace. The model scans your detection content and identifies which MITRE ATT&CK tactics and techniques apply, offering recommended tags for detections that are currently untagged. These recommendations can be easily reviewed and applied, allowing you to: Achieve complete detection coverage aligned with the MITRE ATT&CK framework Eliminate manual effort and reduce human error in tagging Enhance detection clarity and response workflows Gain insights into security posture with more structured and actionable data “AI-based tagging helps us to reduce manual workload that previously we tagged detections manually, as well as helps faster triage. Besides, AI-based tagging will be standardized, helping to reduce inconsistencies due to human error”. Farid Kalaidji, Security Lead at Pink Elephant How it looks like Let’s say you’re reviewing your detection posture and come across a new card in SOC Optimization: “Coverage improvement by AI MITRE Tagging”. The card highlights a list of detection rules in your environment that are missing MITRE ATT&CK mappings and offers AI-suggested tags to help close those gaps. You click into the experience and the relevant rules, each with recommended tactic and technique tags. Now you can quickly get a sense of where coverage is missing and what can be improved. If you’re looking for efficiency, you can simply click “Apply All” to tag every recommended rule at once. It’s a quick way to bring your rules up to date and ensure your MITRE coverage reflects your true detection posture – no manual tagging required. This improves not just the MIRTE blade, but also use case recommendation, incident investigation context, and overall visibility into your threat coverage. lease note that by selecting "choose rule", you also have the option to review and tag individual rules from the list. y heading to the MITRE ATT&CK blade, you can validate the improved coverage. The updated view includes newly applied tactics and techniques, reflecting your improved posture. Next Steps Get started with SOC Optimization today. We hope this detailed walkthrough helps you understand the benefits of this feature and improve your security coverage. Microsoft will continue to invest in this feature to assist our customers in defending against evolving security threats. Learn More SOC optimization documentation: https://learn.microsoft.com/azure/sentinel/soc-optimization/soc-optimization-access ; https://learn.microsoft.com/azure/sentinel/soc-optimization/soc-optimization-reference Short overview and demo: https://www.youtube.com/watch?v=b0rbPZwBuc0 In depth webinar: https://www.youtube.com/watch?v=Uk9x60grT-o SOC optimization API: Introducing SOC Optimization API | Microsoft Community Hub MITRE ATT&CK coverage: https://learn.microsoft.com/en-us/azure/sentinel/mitre-coverage
Automate Extraction of Microsoft Sentinel Analytical Rules from GitHub Solutions
🔧 Enhancing Pre-Deployment Rule Insights Extracting metadata like Rule Name, Severity, MITRE Tactics, and Techniques for out-of-the-box analytical rules across multiple solutions can be time-consuming when done manually—especially before the rules are deployed. 🚀 Script Overview The PowerShell script, hosted on GitHub, lets you: Provide the exact Microsoft Sentinel solution name as input, from Microsoft Sentinel GitHub: Azure-Sentinel/Solutions at master · Azure/Azure-Sentinel · GitHub Automatically query the [Microsoft Sentinel GitHub repo] Parse all associated analytical rule YAMLs under that solution Export relevant metadata into a structured CSV 📥 GitHub Link This is My GitHub repository where the custom PowerShell script is hosted. It allows you to extract built-in analytical rules from Microsoft Sentinel solutions based on the solution name: 🔗 GitHub - SentinelArtifactExtract (Optimized Script) 📝 Pre-Requisites: Generate GitHub Personal Access token: GitHub official page to generate PAT: Managing your personal access tokens - GitHub Docs Why GitHub PAT token: It will help us to Authenticate and overcome the GitHub API rate limit Error (403). Download the Script from GitHub to Azure CloudShell: Use Invoke-WebRequest or curl to download the raw script: Command to Download the Raw Script from GitHub: Invoke-WebRequest -Uri "https://raw.githubusercontent.com/vdabhi123/SentinelArtifactExtract/main/Extract%20Sentinel%20Analytical%20Rule%20with%20Solution%20Name%20prompt/OptimizedVersionPromptforSolutionNameOnly" -OutFile "ExtractRules.ps1 Invoke-WebRequest in Azure CloudShell Update the Script with you GitHub PAT (generated in pre-requisite 1) in main script: To update the PAT token you can use vim and ensure to run the updated script. 🧪 How to Use the Script Open Azure Cloud Shell (PowerShell). Upload and run the script. (This is Optional if Pre-requisite 3 is followed) Run the Script and Enter the **exact** solution name (e.g., `McAfee ePolicy Orchestrator`). The script fetches rule metadata and exports to CSV in the same directory. Download the CSV from Cloud Shell. & 2 as highlighted. 📤 Sample Output The script generates a CSV with the following columns: - `Solution` - `AnalyticalRuleName` - `Description` - `Severity` - `MITRE_Tactics` - `MITRE_Techniques` Example file name: Formatted Output with all Analytical Rule and other metadata for the Solution: ✅ Benefits Streamlines discovery of built-in analytical rules for initial Microsoft Sentinel deployments. Accelerates requirements gathering by exporting rules into a shareable CSV format. Enables collaborative planning—output can be shared with clients or Microsoft to determine which rules to implement or recommend. Eliminates manual effort of browsing GitHub or Microsoft Sentinel UI or exporting and reviewing full JSON rule files individually. 💡 Pro Tips Always verify the solution name from the official Microsoft Sentinel GitHub Solutions folder. Azure-Sentinel/Solutions at master · Azure/Azure-Sentinel · GitHub 📌 Final Thoughts This script was created in response to a real-world project need and is focused on improving the discovery and extraction of Microsoft Sentinel analytical rules. A follow-up blog covering the export of additional Sentinel artifacts—such as Playbooks, Workbooks, and Hunting Queries—will be published soon.Microsoft Sentinel & Cyberint Threat Intel Integration Guide
Explore comprehensive guide on "Microsoft Sentinel & Cyberint Threat Intel Integration Guide," to learn how to integrate Cyberint's advanced threat intelligence with Microsoft Sentinel. This detailed resource will walk you through the integration process, enabling you to leverage enriched threat data for improved detection and response. Elevate your security posture and ensure robust protection against emerging threats. Read the guide to streamline your threat management and enhance your security capabilities.What’s New: Exciting new Microsoft Sentinel Connectors Announcement - Ignite 2024
Microsoft Sentinel continues to be a leading cloud-native security information and event management (SIEM) solution, empowering organizations to detect, investigate, and respond to threats across their digital ecosystem at scale. Microsoft Sentinel offers robust out of the box (OOTB) content, allowing seamless connections with a wide array of data sources from both Microsoft and third-party providers. This enables comprehensive collection and analysis of security signals across multicloud, multiplatform environments, enhancing your overall security posture. In this Ignite 2024 blog post, we are thrilled to present the latest integrations contributed by our esteemed Partners. These new integrations further expand the capabilities of Microsoft Sentinel, enabling you to connect your existing security solutions and leverage Microsoft Sentinel’s powerful analytics and automation capabilities to fortify your defenses against evolving cyber threats. Featured ISV 1Password for Microsoft Sentinel The integration between 1Password Extended Access Management and Microsoft Sentinel provides businesses with real-time visibility and alerts for login attempts and account changes. It enables quick detection of security threats and streamlines reporting by monitoring both managed and unmanaged apps from a single, centralized platform, ensuring faster response times and enhanced security. Cisco Secure Email Threat Defense Sentinel Application This application collects threat information from Cisco Secure Email Threat Defense and ingests it into Microsoft Sentinel for visualization and analysis. It enhances email security by detecting and blocking advanced threats, providing comprehensive visibility and fast remediation. Cribl Stream Solution for Microsoft Sentinel Cribl Stream accelerates SIEM migrations by ingesting, transforming, and enriching third party data into Microsoft Sentinel. It simplifies data onboarding, optimizes data in various formats, and helps maintain compliance, enhancing security operations and threat detection. FortiNDR Cloud FortiNDR Cloud integrates Fortinet’s network detection and response capabilities with Microsoft Sentinel, providing advanced threat detection and automated response. Fortinet FortiNDR Cloud enhances network security by helping to identify and mitigate threats in real-time. Pure Storage Solution for Microsoft Sentinel This solution integrates Pure Storage’s data storage capabilities with Sentinel, providing enhanced data protection and performance. It helps optimize storage infrastructure and improve data security. New and Notable CyberArk Audit for Microsoft Sentinel This solution extracts audit trail data from CyberArk and integrates it with Microsoft Sentinel, providing a comprehensive view of system and user activities. It enhances incident response with automated workflows and real-time threat detection. Cybersixgill Actionable Alerts for Microsoft Sentinel Cybersixgill provides contextual and actionable alerts based on data from the deep and dark web. It helps SOC analysts detect phishing, data leaks, and vulnerabilities, enhancing incident response and threat remediation. Cyware For Microsoft Sentinel Cyware integrates with Microsoft Sentinel to automate incident response and enhance threat hunting. It uses Logic Apps and hunting queries to streamline security operations and provides contextual threat intelligence. Ermes Browser Security for Microsoft Sentinel Ermes Browser Security ingests security and audit events into Microsoft Sentinel, providing enhanced visibility and reporting. It helps monitor and respond to web threats, improving the organization’s security posture. Gigamon Data Connector for Microsoft Sentinel This solution integrates Gigamon GigaVUE Cloud Suite, including Application Metadata Intelligence, with Microsoft Sentinel, providing comprehensive network traffic visibility and insights. It helps detect anomalies and optimize network performance, enhancing overall security. Illumio Sentinel Integration Illumio integrates its micro-segmentation capabilities with Microsoft Sentinel, providing real-time visibility and control over network traffic. It helps prevent lateral movement of threats and enhances overall network security. Infoblox App for Microsoft Sentinel The Infoblox solution enhances SecOps capabilities by seamlessly integrating Infoblox's AI-driven analytics, providing actionable insights, dashboards, and playbooks derived from DNS intelligence. These insights empower SecOps teams to achieve rapid incident response and remediation, all within the familiar Microsoft Sentinel user interface. LUMINAR Threat Intelligence for Microsoft Sentinel LUMINAR integrates threat intelligence and leaked credentials data into Microsoft Sentinel, helping organizations maintain visibility of their threat landscape. It provides timely, actionable insights to help detect and respond to threats before they impact the organization. Prancer PenSuite AI Prancer PenSuite AI now supercharges Microsoft Sentinel by injecting pentesting and real-time AppSec data into SOC operations. With powerful red teaming simulations, it empowers teams to detect vulnerabilities earlier, respond faster, and stay ahead of evolving threats. Phosphorus Connector for Microsoft Sentinel Phosphorus Cybersecurity’s Intelligent Active Discovery provides in-depth context for xIoT assets, that enhances threat detection and allows for targeted responses, enabling organizations to isolate or secure specific devices based on their criticality. Silverfort for Microsoft Sentinel Silverfort integrates its Unified Identity Protection Platform with Microsoft Sentinel, securing authentication and access to sensitive systems, both on-premises and in the cloud without requiring agents or proxies. Transmit Security Data Connector for Sentinel Transmit Security integrates its identity and access management capabilities with Sentinel, providing real-time monitoring and threat detection for user activities. It helps secure identities and prevent unauthorized access. In addition to commercially supported integrations, Microsoft Sentinel Content Hub also connects you to hundreds of community-based solutions as well as thousands of practitioner contributions. For more details and instructions on how to set up these integrations see Microsoft Sentinel data connectors | Microsoft Learn. To our partners: Thank you for your unwavering partnership and invaluable contributions on this journey to deliver the most comprehensive, timely insights and security value to our mutual customers. Security is indeed a team sport, and we are grateful to be working together to enhance the security landscape. Your dedication and innovation are instrumental in our collective success. We hope you find these new partner solutions useful, and we look forward to hearing your feedback and suggestions. Stay tuned for more updates and announcements on Microsoft Sentinel and its partner ecosystem. Learn More Microsoft’s commitment to Security Microsoft’s Secure Future Initiative Unified SecOps | SIEM and XDR Solutions Unified Platform documentation | Microsoft Defender XDR What else is new with Microsoft Sentinel? Microsoft Sentinel product home Schema Mapping Microsoft Sentinel Partner Solution Contributions Update – Ignite 2023 Additional resources: Sentinel Ignite 2024 Blog Latest Microsoft Tech Community Sentinel blog announcements Microsoft Sentinel solution for SAP Microsoft Sentinel solution for Power Platform Microsoft Sentinel pricing Microsoft Sentinel customer stories Microsoft Sentinel documentationQuerying WHOIS/Registration Data Access Protocol (RDAP) with Azure Sentinel and Azure Functions
With the amazing increase in domains and top-level domains (TLD's) on the Internet, it's difficult to know just where our users are going. Newly registered domains, domain generation algorithms, and typo-squatting are all tactics used by adversaries to compromise users. By researching the domains our users are accessing and generating alerts on potentially suspicious activity, we can be more aware of the risks and hopefully get ahead of the problem. This blog post covers and example of extending Azure Sentinel using Azure Functions to call the Registration Data Access Protocol (RDAP) to gather information on the domains that are being accessed in an environment.
