# Auditing ISO 42001 The 5 Pillars of AI Management System Compliance

Page: https://stenobird.com/podcast/infosectrain-4511769/auditing-iso-42001-the-5-pillars-of-ai-management-system-compliance
Text version: https://stenobird.com/podcast/infosectrain-4511769/auditing-iso-42001-the-5-pillars-of-ai-management-system-compliance.md
Podcast: [InfosecTrain](https://stenobird.com/podcast/infosectrain-4511769)
Published: 2026-06-22T02:00:00+00:00
Episode link: https://podcasters.spotify.com/pod/show/infosectrain/episodes/Auditing-ISO-42001-The-5-Pillars-of-AI-Management-System-Compliance-e3l0ms2
Audio file: https://anchor.fm/s/4fb8f048/podcast/play/121706818/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-5-19%2F29a9a98f-3145-b3a9-9249-84244babc32a.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/infosectrain-4511769/episodes/auditing-iso-42001-the-5-pillars-of-ai-management-system-compliance
Duration seconds: 2197

## Resource

As AI adoption grows, the ability to audit AI systems will become one of the most valuable skills in governance and compliance. Moving beyond static software, artificial intelligence introduces non-deterministic outputs, model drift, and complex algorithmic risks. In this practical masterclass episode, InfosecTrain provides a thorough breakdown of how to evaluate an Artificial Intelligence Management System (AIMS) under the definitive international standard, ISO/IEC 42001. The "course titled" ISO/IEC 42001 Lead Auditor (LA) Certification Training serves as the ultimate roadmap for risk professionals transitioning into the algorithmic era. We walk through the complete audit lifestyle - from defining boundaries and data lineage during audit scoping to evaluating unique risks like data bias, system transparency, and ethical safety. Learn how to validate machine learning controls, collect defensible model logs as evidence, and structure nonconformity reports that drive continuous optimization. 📘 What You’ll Learn: AIMS Essentials: Navigating the foundational architecture of ISO/IEC 42001 and understanding how an AI Management System integrates into corporate governance. Audit Scoping & Boundaries: Defining clear boundaries around enterprise AI models, data pipelines, third-party APIs, and training infrastructures. Auditing Complex Risk Controls: Verifying organizational measures against model bias, data poisoning, algorithmic hallucinations, and safety vulnerabilities. Evidence Collection Frameworks: Moving past static documentation to harvest technical model records, parameter weights, version histories, and monitoring logs. Reporting Success & Corrective Action: Writing precise audit findings, documenting nonconformities objectively, and establishing ro…

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/infosectrain-4511769/episodes/auditing-iso-42001-the-5-pillars-of-ai-management-system-compliance/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/infosectrain-4511769/auditing-iso-42001-the-5-pillars-of-ai-management-system-compliance.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.