IBM: Mastering Generative AI for Cybersecurity

It's concrete about the security use cases: user and entity behaviour analytics, threat intelligence, automatically summarising incidents and generating response playbooks, and countering phishing and AI-driven misinformation. That applied, security-first angle is the point — it's for practitioners who want to fold genAI into defensive work, not a general tour of the technology.

So it assumes you already have security footing, and it won't suit you if you're new to the field or you want general generative-AI concepts first. Audit it free on edX, with a verified certificate as a paid option and financial assistance available. GenAI in security moves fast, so treat the specific tools as a snapshot (as of 2026).

Rav Ahuja teaches how generative AI is reshaping cybersecurity: user and entity behavior analytics (UEBA), threat intelligence, automated incident report summarization and playbooks, countering phishing, malware, misinformation, and deepfakes, plus NLP-specific attack vectors like prompt injection. The course also covers how gen AI is changing SIEM and SOC workflows for incident response, threat detection, and vulnerability management.