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Microsoft

Sentinel Alert to Autonomous Action - A Guide to Controlled AI

Microsoft via YouTube

Overview

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Learn to bridge the critical gap between threat detection and response by implementing AI-driven automation in Microsoft Sentinel through this intermediate-level conference session from Microsoft Ignite 2025. Discover how to leverage custom Blink micro agents and workflows to transform security alert handling from manual processes to autonomous, controlled responses that operate within seconds of threat detection. Explore the Blink platform's comprehensive capabilities including Builder Copilot, Analyst Copilot, and AI Agents, while gaining hands-on insights into the workflow editor and integrated security tools. Master the fundamental differences between Large Language Models (LLMs) and specialized security agents, understanding how agents can autonomously investigate Sentinel alerts using KQL queries and execute predetermined response actions. Examine practical verification processes through Microsoft Teams integration and learn to design AI-driven response frameworks that prioritize speed, safety, and environmental customization. Gain actionable knowledge for expanding automation capabilities beyond basic Sentinel alerts to create comprehensive security orchestration solutions that reduce response times while maintaining strict operational controls and oversight.

Syllabus

0:00 - Blink Platform Capabilities: Builder Copilot, Analyst Copilot, AI Agents
00:05:13 - Exploring the Blink workflow editor and integrated tools
00:06:13 - Verification of Microsoft Teams alert message
00:07:35 - Differentiating Large Language Models LLMs from Agents
00:10:24 - Agent responsibilities: investigating Sentinel alerts using KQL queries
00:12:39 - Conclusion: expanding automation capabilities beyond Sentinel alerts

Taught by

Microsoft Ignite

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