Training > Cybersecurity > AI Integration for Security Workflow Automation (LFWS303)

INSTRUCTOR-LED COURSE

Security teams are overwhelmed by alerts, evolving threats, and limited resources. Build the AI-powered automation skills needed to keep up. Learn to design low-code SOC workflows, integrate threat intelligence, and apply LLMs with guardrails to reduce alert fatigue and scale modern security operations.

Who Is It For

For security analysts, SOC and blue team professionals, and security engineers looking to build automation skills and move into higher-impact roles. Also relevant for LLMOps practitioners applying AI in security.

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What You’ll Learn

Build automated security workflows, integrate data from multiple sources, and apply LLMs with RAG for investigation and triage. Implement guardrails and create end-to-end pipelines from detection to response.

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What It Prepares You For

Move into roles like Senior SOC Analyst, Security Automation Engineer, or Detection Engineer by turning AI and automation into a force multiplier for security operations. Reduce alert noise, accelerate investigations, and build scalable detection and response pipelines.

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Course Outline

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Foundations & First Workflow

Introduction & Setup
Why Automate Security?

Threat Intelligence Workflow

Concepts
Lab: Build a Threat Intelligence Enrichment Workflow
AI Risks, Guardrails & OWASP Top 10 for LLMs

AI-Powered Threat Analysis with RAG

Concepts
Lab: Add AI-Powered Threat Analysis with RAG and Guardrails
Full Pipeline & Capstone

End-to-End SOC Pipeline

Concepts
Lab: Build an End-to-End SOC Pipeline with a Live SIEM
Challenge: Race to Detect and Respond
Team Presentations

Wrap-Up & Next Steps

Prerequisites

To make the best of this course, learners should be:

Comfortable using the Linux terminal
Familiar with fundamental cybersecurity concepts (IOCs, MITRE ATT&CK basics, log analysis)
Familiar with REST APIs (webhooks, JSON)
Experienced with basic programming (JavaScript or Python)

Lab Info