Title: Mastering Generative AI for Cybersecurity

Location: US

Company: IBM

About this course:
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!

Leveraging the power of gen AI in cybersecurity, including UEBA, threat intelligence, report summarization, and playbooks.

Using generative AI in countering cybersecurity threats like phishing and malware.

Streamlining SIEM and SOC tasks with generative AI to optimize operational efficiency and threat management.

Integrating generative AI in cybersecurity operations, such as incident response, threat detection, and vulnerability management.

Learn how to leverage the power of generative AI in cybersecurity, including UEBA, threat intelligence, phishing, malware, misinformation, deepfakes, and SIEM and SOC tasks.

Duration: 3 weeks

Skills:
- Artificial Intelligence
- Cyber Defense
- Cyber Security
- Cyber Threat Intelligence
- Demand Generation
- Forecasting
- Machine Learning
- Natural Language Processing
- Phishing
- Physical Security Operations
- Security Information And Event Management (SIEM)
- Threat Detection
- Vulnerability
- Vulnerability Management
- Workflow Management

Curriculum:
- Module 1: Get Started with Generative AI in Cybersecurity
- Module 2: SIEM and SOC Tasks Using Generative AI

- Module 3: Final Project and Exam