Ai-Risk-Management

The AI Governance Services Companies Actually Pay For

Ask ten executives what “AI governance” means and you will get ten different answers. Ask their finance departments what they are actually invoicing for, and the picture gets …

Practitioner Disciplines That Separate Profitable AI From Expensive AI

A field guide for Chief AI Risk Officers, CTOs, auditors, and general counsels who own what happens after the model ships A model that hits 96 percent accuracy in validation can …

Tips for Implementing and Assessing AI Model Cards and Bills of Materials

Pull ten AI model cards from ten different vendors. Read the limitations section on each one. Most say close to nothing. A line about ongoing monitoring. A sentence about …

The prEN 18286 Reality Check: Ditch Generic AI Governance

AI quality management systems look complete on paper and collapse the moment a notified body, regulator, or internal auditor asks a simple question. Show me the evidence that your …

The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what …

Guide to AI Agent Risk and Control Management Across the Full Lifecycle

An AI agent can read a ticket, query a database, call an API, draft a response, and trigger a workflow before anyone notices it crossed a line. That is the promise. It is also the …

Shadow AI Risk Management for CAIOs

Implementation Guide for Shadow AI to Secure Operations Shadow AI is already inside many organizations. It shows up in browser extensions, AI features inside SaaS tools, copied …

How to Actually Use ISO/IEC 23894 for AI Risk Management

Practical ISO/IEC 23894 Implementation for AI Risk Management (Without Turning It Into Shelf Decoration) Most AI risk programs fail before the first risk is ever scored. They fail …

What a Chief AI Officer Actually Owns, and What Should Stay With Risk, Legal, and IT

Chief AI Officer in Governance, Delivery, and Board-Level Execution Organizations want a Chief AI Officer before they know what the role should actually do. That creates a …

Rules for AI Use, Accountability, BYOAI, Safety by Design, and Content Provenance

Organizations have zero or one AI policy. They need six. A single “AI policy” that tries to cover governance, acceptable use, content provenance, employee-owned AI tools, safety …