• views: 183
• date: 20 April 2026
• posted by: 0nelove

Master AI-driven threat detection, alert triage, incident response automation & Claude+Splunk integration for modern SOC
What you'll learn
Understand how AI and ML models work and apply them to real-world SOC use cases including threat detection, alert triage, and incident response.
Triage smarter: let AI sort and prioritize thousands of alerts so you focus on what matters.
Enrich threat intelligence and accelerate investigations using AI-augmented analysis, pattern recognition, and contextual threat correlation.
Build a hands-on integration of Claude Desktop with Splunk via MCP to automate security incident detection, response, and reporting workflows.
Learn how AI thinks — models, types, and how they spot threats humans might miss.
Requirements
Basic understanding of cybersecurity concepts (firewalls, logs, alerts). No AI or coding experience needed — we start from scratch.
Familiarity with how a SOC works — what analysts do, what tools they use. Complete beginners can catch up with the intro module.
A laptop with internet access. We'll guide you step-by-step to install Splunk and Claude Desktop for the hands-on lab.
Description
Cyber threats are evolving faster than human analysts can respond. This course equips security professionals, SOC analysts, and aspiring cybersecurity practitioners with the knowledge and hands-on skills to harness artificial intelligence for smarter, faster, and more effective security operations.What you will learn in this course:Fundamentals of AI and machine learning — types of models, how they work, and why they matter for cybersecurityHow AI is transforming Security Operations Centers across threat detection, investigation, and responseAI-driven alert triage and prioritization to cut through noise and focus on real threatsAutomated threat identification and isolation using intelligent workflowsIncident response automation — how AI accelerates containment, analysis, and remediationThreat intelligence enrichment using AI to add context and correlation to raw security dataSecurity orchestration and how AI connects tools, teams, and processes into unified response pipelinesAI-augmented investigation techniques for faster root cause analysisReal-world case study integrating Claude Desktop with a local Splunk instance using MCP (Model Context Protocol)Whether you are a SOC analyst looking to automate repetitive tasks, a security engineer exploring AI tooling, or an IT professional transitioning into cybersecurity, this course gives you a competitive edge in a field where speed and precision are everything.
SOC analysts and security engineers who want to work smarter using AI — automating repetitive tasks and responding to threats faster than ever before.,Cybersecurity students and beginners looking to future-proof their careers by learning how AI is reshaping threat detection and incident response in real teams.,IT professionals and sysadmins transitioning into security who want hands-on experience with AI-powered tools like Claude and Splunk in a real-world workflow.



   
   
   

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