Ai

Critical Cost Discipline for Your AI Systems

A 3x cost differential for comparable performance on token consumption is not a procurement problem. It is an architectural failure waiting to happen. I sat in a review where the …

The EU AI Act's Transparency Rules Just Went Live

Most AI Managers Think Disclosure and Watermark Requirements Got Cancelled or Delayed I had a call with a compliance officer at a company that sells software into the Nordics. …

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 …

The Seven Gates Every AI Agent Must Clear Before It Can Act (And Most Skip at Least Three)

A model can reason its way to a logical conclusion and still produce a wrong outcome in your production systems. Once an autonomous agent calls an API, hits a database, or moves …

Your Vendor's "We Don't Train On Your Data" Promise Is a Sentence, Not A Data Architecture

Why the real exposure in generative, predictive, and agentic AI contracts lives in fine-tuning, logs, and retrieval, not in the one line everyone quotes back to legal Every …

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 …