Practical AI for GRC & Security Teams

What you will be able to do

• You will be able to write structured prompts that turn raw inputs into draft risk statements, control mappings, and policy text you can refine.
• You will be able to use AI to summarize and triage audit evidence while keeping a verifiable trail back to the source.
• You will be able to accelerate vendor security reviews and questionnaire responses without copying unverified claims into the record.
• You will be able to design human-in-the-loop checkpoints and guardrails that catch hallucinations and prevent sensitive-data leakage.
• You will be able to apply the NIST AI RMF functions (Govern, Map, Measure, Manage) to your own use of AI tools.
• You will be able to decide which GRC tasks are good candidates for AI and which must stay human-owned for legal or accountability reasons.
• You will be able to document responsible, defensible AI usage so an auditor or regulator can understand how a given artifact was produced.

What is inside

4 modules, 8 lessons. Each module ends in a graded quiz and most carry an assignment.

1. 01

   Foundations: How GRC Teams Should Think About AI

   Before automating anything, you need a working mental model of what these tools do well, where they fail, and how a recognized governance framework structures responsible use. This module sets the foundation of prompting, hallucination risk, and the NIST AI RMF.

   2 lessons · 5 quiz questions

2. 02

   Accelerating Risk Assessments and Control Mapping

   This module gets hands-on with two core GRC artifacts: risk statements and control mappings. You will learn prompt patterns that produce usable drafts and verification steps that keep them defensible.

   2 lessons · 5 quiz questions · assignment

3. 03

   Policies, Audit Evidence, and Vendor Reviews

   This module applies AI to three document-heavy GRC chores: drafting policies, summarizing audit evidence, and processing vendor questionnaires. The throughline is traceability: every AI-assisted output must trace back to a verifiable source.

   2 lessons · 5 quiz questions

4. 04

   Guardrails, Human-in-the-Loop, and Defensible Use

   The final module turns the course's habits into a repeatable system: where to place human checkpoints, how to build guardrails against hallucination and leakage, and how to decide where AI should never make the call. It closes with documenting AI use so it is defensible to an auditor.

   2 lessons · 5 quiz questions · assignment