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1.1 Welcome to the AI Risk Course
Resources
1.2 The CIA Triad for AI (What Leaders Need to Know)
1.3 Generative vs. Agentic AI (Deciding How Much Autonomy to Allow)
1.4 Data Security and Access Control (Preventing Leaks and Misconceptions)
1.5 Privacy, PII, PHI, and Data Use in AI (What You May and May Not Do)
1.6 Hallucinations and Prompt Quality (Getting to Reliable Answers)
1.7 Deepfakes, Veracity, and Authenticity (Seeing Is No Longer Believing)
1.8 Bias, Discrimination, and Decision Chains (Who’s Influencing Your Results)
1.9 Trust and Information Integrity vs Data Security (Not the Same Thing)
1.10 AI Dependency and Supply Chain Resilience
1.11 Open Source, Third Party APIs, and Contributing Parties (Know What You’re Shipping)
1.12 Transparency and Design - Know Your Stack (Who Built It? How Does It Work?)
1.13 Shadow AI, Ungoverned Use, and Practical Controls
1.14 Agentic AI Operational Controls (Availability and Safety in Action)
Martin
The most important AI course
If you work in a corporate IT dept, you should be familiar with how to balance the opportunties that any given software offers, with the controls to mitigate when something goes wrong, and how to minimise such a possibility. This is risk management, and the more powerful the software, the more critical is to have such understanding in place. The use of AI, and in particular agentic AI, brings these fundamentals into play not just for corporate, but for all sizes of organisation. This training lays out in non technical terms what you need to consider.
Andrew
Very relevant to AI practitioners and GRC/Cyber security specialists alike.
Great class! No theoretical fluff, but a very practical, hands-on methodology that maps risks to controls for any framework. Excellent instructor.