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Mastering Generative AI for Cybersecurity

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IntermediateCourse

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.

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Information Technology

Enrollment Count

  • 1.10K

Skills You Will Learn

  • Artificial Intelligence, CyberSecurity, Generative AI, Vulnerability Management, Incident Management

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 10 Hours

Platform

  • edX

Last Update

  • July 14, 2025
About this Course
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


Instructors

Vibhuti Bhardwaj

Content Manager

Working with SkillUp since May 2021. Role and responsibilities: • Leading the design and development of online courses for a Professional Certification or Specialization programs • Developing comprehensive course frameworks and curriculum design for MOOCs (Massive Open Online Courses), blended learning, and other educational formats, • Creating and reviewing different forms of instructional assets for online courses – video scripts, assessments • Conducting workshops and training for the development of online courses for online platforms (specifically Coursera) • Managing communications with partners, contributors, and Subject Matter Experts

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