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AI-Driven SOC Operations with Claude and Splunk
Rating: 4.7 out of 5(10 ratings)
163 students

AI-Driven SOC Operations with Claude and Splunk

Master alert triage, threat enrichment & UEBA with real case studies and a hands-on Claude + Splunk lab
Created byRaghu The Security Expert
Last updated 5/2026
English

What you'll learn

  • Triage and prioritize security alerts using AI to reduce analyst fatigue and response time.
  • Enrich alerts with threat intelligence automatically using AI-powered context and IOC analysis.
  • Detect anomalies and insider threats using AI-driven UEBA techniques in a SOC environment.
  • Analyze real-world SOC case studies across alert triage, threat intel, and UEBA use cases.
  • Integrate Claude Desktop with a local Splunk instance to build an AI-augmented SOC pipeline.
  • Apply AI workflows hands-on to investigate, enrich, and respond to simulated security incidents.

Course content

6 sections • 25 lectures • 2h 54m total length

  • Introduction and Agenda6:15

Requirements

  • Basic understanding of cybersecurity concepts (e.g., threats, alerts, logs) is helpful but not required.
  • Familiarity with SIEM tools like Splunk is a plus — beginners will be guided through setup step by step.
  • A laptop or desktop with internet access capable of running Splunk and Claude Desktop locally.
  • Curiosity about how AI is transforming cybersecurity operations is all you truly need to get started.

Description

Disclosure: This course contains the use of artificial intelligence.


Security operations teams are overwhelmed — alert volumes are skyrocketing, threats are evolving, and analysts are burning out. AI is the solution. This course gives you the practical skills to bring AI into your SOC, starting today.

What You Will Learn

  1. AI-Powered Alert Triage — Automatically score, rank, and prioritize alerts so analysts focus only on what truly matters

  2. Threat Intelligence Enrichment — Turn raw indicators into actionable intelligence instantly using AI-driven context and external threat feeds

  3. UEBA & Anomaly Detection — Detect insider threats and behavioral anomalies that traditional rule-based systems consistently miss

What Makes This Course Different

  • Every module is backed by a real-world case study drawn from actual security incidents

  • Hands-on lab integrating Claude Desktop with a local Splunk instance — step by step, on your own machine

  • Build a working AI-augmented SOC workflow you can demo, expand, or deploy

  • Structured for clarity — no fluff, no filler, just practical knowledge you can apply immediately

  • Learn by doing — not just watching

Who Should Enroll

  • SOC analysts battling alert fatigue and looking to work smarter

  • Security engineers exploring AI-powered detection and response tooling

  • Cybersecurity students and career switchers who want hands-on, job-ready skills

  • IT professionals curious about how AI is reshaping modern security operations

AI is not replacing SOC analysts — it is making them dramatically more effective. This course shows you exactly how to be on the right side of that shift.

Who this course is for:

  • SOC analysts, security engineers, and IT professionals looking to apply AI to modernize their security operations.
  • Aspiring and practicing SOC analysts who want hands-on experience using AI for threat detection and response.
  • Cybersecurity professionals and students eager to integrate AI tools into real-world SOC workflows.

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