Generative AI for Risk & Cybersecurity Professionals 
 
What You’ll Learn
 
Core Generative AI Foundations
Build a strong understanding of Generative AI concepts, model types, and real-world applications that are transforming modern enterprises.
 
AI-Driven Security Risks & Threat Vectors
Examine the emerging risks introduced by Generative AI— including prompt injection, hallucinations, data poisoning, model inversion, and unauthorized model manipulation.
 
Defensive & Mitigation Strategies
Learn actionable techniques to detect, mitigate, and manage AI-related security threats using both traditional cybersecurity controls and AI-enhanced defenses.
 
Building Secure Generative AI Frameworks
Develop the skills to design, evaluate, and implement robust governance and security frameworks tailored specifically for AI-enabled systems.
 
Real-World Case Studies & Incident Analysis
Explore actual examples of Generative AI misuse and examine how adversarial actors leverage AI to compromise systems, exploit models, and evade defenses.
 
Ethical, Governance & Compliance Considerations
Understand the ethical, regulatory, and privacy challenges surrounding Generative AI, with guidance on responsible use, transparency, model monitoring, and data protection.
 
Requirements
Basic understanding of IT and security principles
No prior experience with Generative AI required
 
Who This Course Is For
Risk and compliance professionals seeking to understand AI-related risks
IT and cybersecurity professionals expanding into AI security
Technical leads, managers, and decision-makers involved in AI adoption
AI/ML practitioners needing a security-first perspective
Cybersecurity analysts and engineers looking to integrate Generative AI into defense strategies