AI GRCAPractitioner Programme
MODULE 10 · STAGE 2: RISK & GOVERNANCE

Module 10: GenAI, RAG & LLM Application Risk

Architecture map, system card, RAG checklist, grounding and output controls

What you'll show in Module 10

The critical areas of this module's Knowledge Check.

  • Generative AI risk types
  • Hallucination and grounding
  • Data leakage and confidentiality

How Module 10 works

  1. 1Learn
  2. 2Check
  3. 3Practise
  4. 4Demonstrate
  5. 5Evidence
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Learn

Lesson to follow

The video and materials for this module are still being written. You can already check and practise: follow your path above.

Your assignment

Assess GenAI and RAG architecture

Your role
GenAI risk analyst
Decision
Where can retrieval and generation fail?
Case
SecureGenAI
Evidence you produce
System and RAG risk record

Review criteria

  • Trace data and output boundaries
  • Identify testable retrieval risks
  • Required to complete the module: Knowledge Check and Practitioner Challenge. Recommended: guided practice in the Practitioner Lab. Optional: weekly self-check.
  • This is a new piece of work. Your trainer reviews it at the Module 11 milestone.
  • It is used next in Module 11 and in the capstone (Module 24).

Revision (optional)

Use these to find gaps before or after your Knowledge Check. They don't count towards your badge: only the Check and Demonstrate do.