Iso-23894

How an Enforceable Control Plane Protects AI ROI

Operationalizing AI Governance Risks and Controls: Why policy documents stop shadow AI on paper only, and what a tested, signed, audited control chain looks like once it runs …

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 …

A Practical Guide for Engineers, Architects, and Governance Teams Who Need to Get It Right

Organizations shouldn´t treat AI security as an extension of their existing cybersecurity program. They run the usual penetration tests, validate API authentication, review access …

How ISO 24970 and prEN 18229-1 Turn Post-Deployment Chaos Into Auditable Evidence

When AI Systems Fail, Logs Tell the Story Your AI system just flagged 300 legitimate transactions as fraud. A biometric authentication tool locked out half your workforce. A …

How to Build a Policy Engine for AI Agents Without Losing Control

You cannot govern an enterprise AI system with a polite text prompt. I learned this through several close calls where agents interpreted user requests in technically correct but …

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 …

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 …

The AI Use Case Identification and Prioritization Framework

The costliest AI failure I encounter in my practice is never a defective algorithm. It is a mathematically perfect model deployed to solve a business problem that simply is not 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 …