Resources for Risk, Compliance, and Audit Professionals
Practical guides, framework explainers, and research. Covering ISO 42001, EU AI Act, NIST AI RMF, APRA CPS 230, third-party AI risk, and board reporting.
FRAMEWORK DEEP-DIVES
What Makes an AI Governance Platform Enterprise-Ready? A Buyer's Checklist
Gartner defines enterprise-ready AI governance platforms as those that orchestrate use-case intake, risk assessment, compliance mapping, and third-party evaluation together. Here is the complete checklist — and how Wahid AI meets every criterion.
All guides and research
12 ARTICLESAI Governance Isn't a Cost Centre — It's a Growth Strategy
The World Economic Forum frames AI governance as a growth enabler, not a safeguard. Three pillars connect business ambition, ethical intent, and operational execution into one system. Here is what that means for Australian enterprises.
NIST AI RMF Explained: Turning Govern-Map-Measure-Manage Into a Working Program
A plain-language breakdown of all four NIST AI RMF functions, with practical implementation guidance for compliance managers who recognise the framework by name but haven't yet operationalised it into day-to-day controls.
The Real Cost of Disconnected AI Compliance (and How to Fix It)
KPMG identifies compliance risk as arising from the growing volume of global AI regulation combined with internal policy — and recommends integrating controls directly into AI governance programs, not managing them as a parallel exercise.
Your AI Inventory Shouldn't Be a Static Spreadsheet — Here's What Should Replace It
IBM argues governance is fundamentally relational: a use case connects to a risk, the risk maps to a control, and a metric proves whether the control works. Manual, questionnaire-based intake hides risk rather than reducing it.
You're Liable for Your Vendors' AI Too: A Practical Guide to Third-Party AI Risk
Gartner notes third parties have embedded AI into their solutions for over a decade. The EU AI Act holds deploying enterprises responsible regardless of origin. This guide explains the practical steps for sourcing, procurement, and TPRM leaders.
What Internal Audit Actually Needs From an AI Governance Program
Deloitte identifies a widening gap between how fast organisations deploy AI and how slowly formal governance gets established. Internal audit can close that gap — but only if the governance program provides continuous evidence, not one-time documentation.
The Governance Gaps Killing Your AI Program (and How to Close Them)
Two years of WEF working group research identifies the most recurring governance failures: unassessed third-party tools, unclear accountability, and low enterprise-wide AI visibility. Here is how to close each gap systematically.
ISO 42001, Decoded: What an AI Management System Actually Requires
The world's first AI management system standard — published December 2023 — requires evidence of operating effectiveness, not policy documents. A full breakdown of all seven clauses and 38 Annex A controls.
From Govern to Manage: Mapping the NIST AI RMF Onto a Real Risk Register
The Govern-Map-Measure-Manage structure is a natural narrative for showing how a live risk register operationalises each function — connecting appetite categories, controls, and board heatmaps that NIST recommends but doesn't prescribe.
Does the EU AI Act Apply to Your Australian AI Program? Here's How to Tell
Compliance requirements vary by risk classification — from prohibited to minimal. Non-EU providers of high-risk systems must appoint an EU-authorised representative. This guide explains classification, obligations, and how Australian enterprises assess their exposure.
McKinsey Says AI Governance Needs to Be Built Into the Workflow — Here's What That Looks Like
McKinsey argues organisations will embed control agents directly into workflows — comparable to DevSecOps. Every agent action should be logged and explainable in real time. Wahid AI already ships this: automated evidence linkage, traceable history, continuous re-validation.
What Your Board Actually Needs to See in an AI Risk Report
Harvard Law School research of 50+ board directors found most boards rarely or never use AI to fulfil board responsibilities. AI's impact on strategy, talent, and risk means it should surface in every board discussion — with structured, recurring evidence, not occasional briefings.
See how Wahid AI puts these frameworks into practice.
A 30-minute demo on your AI systems. One integrated workflow for ISO 42001, EU AI Act, NIST AI RMF, and APRA CPS 230.