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IBM

Mastering Generative AI for Cybersecurity

IBM via edX

Overview

Generative AI is transforming cybersecurity, enabling faster threat detection, proactive defense strategies, and advanced solutions to combat sophisticated attacks. This course builds skills in valuable generative AII techniques and tools that help cybersecurity professionals effectively handle complex cybersecurity challenges.

During the course, you’ll explore undetected vulnerabilities by leveraging AI and machine learning. You’ll learn the foundational principles of gen AI and their practical applications in cybersecurity, including user and entity behavior analytics (UEBA), threat intelligence, report summarization, automated playbooks, countering phishing, malware, misinformation, and deepfakes. Plus, you’ll look at natural language processing attack techniques, such as prompt injection, and the strategies to counteract them.

You’ll learn how generative AI transforms Security Information and Event Management (SIEM) and Security Operations Center (SOC) workflows. The course covers how generative AI enhances incident response, threat detection, and vulnerability management.

You’ll also review the latest advancements in gen AI for cyber defense and threat prediction. Plus, you’ll complete real-world practical exercises, hands-on labs, and a final project where you’ll apply your skills.

If you’re an existing or aspiring cybersecurity professional looking to add in-demand gen AI skills to your resume, enroll today!

Syllabus

Module 1: Get Started with Generative AI in Cybersecurity

  • Video: Course Introduction
  • Reading: Prerequisites and Course Syllabus
  • Reading: Helpful Tips for Course Completion
  • Video: Transition from Conventional AI to Generative AI and its Benefits in Cybersecurity
  • Reading: Applications of Generative AI on Different Tasks of Cybersecurity
  • Video: The Future of Cybersecurity in the Era of Generative AI
  • Video: [Optional] Prompt Injection Attack
  • Video: Generative AI and LLM Risk
  • Hands-on Labs: Generative AI Foundation Models
  • Video: Security Risks Associated with Using Generative AI Tools
  • Hands-on Lab: Malicious Code Generation Using Generative AI
  • Video: Cybersecurity Analytics Using Generative AI
  • Reading: Application of Generative AI in Content Filtering and Monitoring
  • Hands-on Lab: Using Generative AI to Block/Remove Offensive Content
  • Reading: Threats on Generative AI Models
  • Video: Guarding against NLP-based Attacks on Generative AI
  • Video: Unleashing the Power of Generative AI for Cybersecurity
  • Reading: The Cost of a Data Breach (CoDB) and the Impact of AI
  • Demo: Using the Power of Generative AI in Data Security
  • Hands-on Lab: Applying Generative AI for Attack Pattern Analysis
  • Video: Overview of Incident Response and Forensic Analysis
  • Video: Using Generative AI for Cybersecurity Report Summarization and Playbooks
  • Hands-on Lab: Applying Generative AI for Attack Pattern Analysis
  • Video: Overview of Incident Response and Forensic Analysis
  • Video: Using Generative AI for Cybersecurity Report Summarization and Playbooks
  • Hands-on Lab: Cyber Incident Reports and Playbook using Generative AI
  • Practice Quiz: Introduction to Generative AI in Cybersecurity
  • Reading: Module Summary
  • Graded Quiz: Get Started with Generative AI in Cybersecurity

Module 2: SIEM and SOC Tasks Using Generative AI

  • Video: Triage Potential Incidents, Analyze Logs, and Assist Investigations.
  • Reading: Incident Response using Generative AI
  • Hands-on Lab: Incident Response and Alerts Generation Using Generative AI
  • Video: Enhancing Vulnerability Management with Generative AI
  • Video: Demo - Augmenting Threat Hunting and Security Analysis
  • Video: Demo - Streamlining Vulnerability Management
  • Video: Advanced Threat Detection Using Generative AI in SIEM
  • Video: Ways to Integrate Generative AI into SIEM
  • Reading: ChatGPT with QRadar/any SIEM tool
  • Reading: Optimizing Cybersecurity with Generative AI Integration in SIEM
  • Hands-on Lab: Training Generative AI with Incident Data for Better Pattern Recognition
  • Video: Decoding UBEA Using Generative AI
  • Reading: SOAR in Cybersecurity: Enhancing Security Operations with Generative AI
  • Reading: Securing the Future with Generative AI: Building Proactive and Cost-effective Cybersecurity Solutions
  • Video - Demo: Real-Time Assistance Using Generative AI
  • Hands-on Lab: Using Generative AI for Threat Intelligence
  • Video: Issues, Concerns, and Considerations Using Generative AI in Cybersecurity
  • Video: Ethical Concerns of AI in Cybersecurity
  • Reading: Generative AI and Cybersecurity: Balancing Benefits and Ethical Concerns
  • Practice Quiz: Integrating Generative AI Models with Security Systems
  • Reading: Module Summary
  • Graded Quiz: SIEM and SOC Tasks Using Generative AI

Module 3: Final Project and Exam

  • Reading - Review What You Have Learned
  • Glossary: Generative AI: Boost Your Cybersecurity Career
  • Reading: Final Project Overview
  • Final Project: Cybersecurity with Generative AI
  • Graded Assignment: Final Exam
  • Cheatsheet: Generative AI for Cybersecurity
  • Reading: Congratulations and Next Steps
  • Reading: Thanks from the Course Team

Taught by

Rav Ahuja

Reviews

3.5 rating at edX based on 5 ratings

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