# AI Standards and Risk Management Frameworks

> Apply ISO/IEC 42001, the NIST AI RMF and emerging AI regulation to manage AI risk and prepare for audits.

- **Provider:** Afriskora Training Solutions
- **Category:** Governance, Risk & Compliance
- **Duration:** 3 days
- **Formats:** classroom (cities across Africa), live virtual (Zoom/Teams), in-house for teams
- **Certificate:** Afriskora Certificate of Completion, verifiable online
- **Booking:** request dates and a quote; invoice and EFT payment
- **Web page:** https://afriskora.co.za/courses/governance-risk-compliance/ai-standards-and-risk-management-frameworks
- **Request dates:** https://afriskora.co.za/request-training?course=ai-standards-and-risk-management-frameworks

## Overview

Regulators, clients and auditors increasingly expect organisations to show that their AI is managed responsibly. This course explains the main AI standards and frameworks, including ISO/IEC 42001 AI management systems, ISO/IEC 23894, the NIST AI Risk Management Framework and the EU AI Act, and how to build a practical AI risk register, controls and assurance approach.

## Who should attend

- Risk, compliance and internal audit professionals
- Data protection and information security officers
- AI, data and IT governance leads
- Legal advisers

## Learning outcomes

- Compare the main AI standards, frameworks and regulations
- Set up an AI management system aligned with ISO/IEC 42001
- Identify, assess and treat AI risks
- Design controls, documentation and monitoring
- Plan internal audits and certification readiness

## Course outline

### Module 1: The AI governance landscape

- ISO/IEC 42001 and 23894
- NIST AI RMF
- EU AI Act and African policy developments
- POPIA and automated decisions

### Module 2: Managing AI risk

- AI inventory
- Risk identification and assessment
- Impact assessments
- Controls and documentation

### Module 3: Assurance

- Monitoring and incident handling
- Third-party AI
- Auditing AI systems
- Implementation roadmap