Generative AI for Cybersecurity Experts

About this course

As the cybersecurity landscape evolves, so do the tools needed to protect it. This course empowers cybersecurity professionals with the practical skills, technical insights, and strategic frameworks required to harness the power of Generative AI (GenAI) in modern defense environments. From threat detection and incident response to compliance automation and adversarial simulation, this course presents real-world applications of GenAI in a cyber context.

We begin by demystifying how large language models (LLMs) and diffusion models operate, and why GenAI is uniquely positioned to augment cybersecurity tasks compared to traditional AI systems. You will explore how GenAI is reshaping the cybersecurity ecosystem, with hands-on use cases such as auto-generating threat intelligence reports from IOC feeds, converting unstructured OSINT into structured summaries, and leveraging ChatGPT to map MITRE ATT&CK vectors.

You will master prompt engineering for cybersecurity—designing commands for log analysis, anomaly detection, triage automation, and adversarial simulation. Through labs, you'll use GenAI to parse SIEM logs, generate SOAR workflows, and simulate APT attack chains ethically and securely.

The course delves into governance and risk, addressing advanced topics like prompt injection, model inversion, and data poisoning, while introducing mitigation strategies such as sandboxing, access controls, and audit logging for secure GenAI deployment.

With case studies on Microsoft Security Copilot and Palo Alto Cortex XSIAM, you'll examine GenAI integrations with SIEM, SOAR, and EDR platforms. The capstone includes over 1000 expertly crafted GenAI prompts to supercharge cybersecurity operations—from vulnerability

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