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#iso23894 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #iso23894, aggregated by home.social.

  1. 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 content moderation model started removing benign posts at twice the normal rate. In each case, the first question from your board, your regulator, or your customer is the same: what happened? Without structured logs, you have no answer. Without a logging framework that captures the right events at the right resolution, […]

    hernanhuwyler.wordpress.com/20

  2. 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 content moderation model started removing benign posts at twice the normal rate. In each case, the first question from your board, your regulator, or your customer is the same: what happened? Without structured logs, you have no answer. Without a logging framework that captures the right events at the right resolution, […]

    hernanhuwyler.wordpress.com/20

  3. 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 content moderation model started removing benign posts at twice the normal rate. In each case, the first question from your board, your regulator, or your customer is the same: what happened? Without structured logs, you have no answer. Without a logging framework that captures the right events at the right resolution, […]

    hernanhuwyler.wordpress.com/20

  4. 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 content moderation model started removing benign posts at twice the normal rate. In each case, the first question from your board, your regulator, or your customer is the same: what happened? Without structured logs, you have no answer. Without a logging framework that captures the right events at the right resolution, […]

    hernanhuwyler.wordpress.com/20

  5. 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 content moderation model started removing benign posts at twice the normal rate. In each case, the first question from your board, your regulator, or your customer is the same: what happened? Without structured logs, you have no answer. Without a logging framework that captures the right events at the right resolution, […]

    hernanhuwyler.wordpress.com/20

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

    The right policy engine makes your AI agents faster, safer, and actually trustworthy in production. For months, I used system prompts to control what my AI agents could and could not do. It felt like the right approach. Write clear instructions, trust the model to follow them, ship the feature. Prompts are suggestions. Policy engines are law. This guide covers how to build a real, working policy engine for AI agents, using patterns grounded in both academic research and production […]

    hernanhuwyler.wordpress.com/20

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

    The right policy engine makes your AI agents faster, safer, and actually trustworthy in production. For months, I used system prompts to control what my AI agents could and could not do. It felt like the right approach. Write clear instructions, trust the model to follow them, ship the feature. Prompts are suggestions. Policy engines are law. This guide covers how to build a real, working policy engine for AI agents, using patterns grounded in both academic research and production […]

    hernanhuwyler.wordpress.com/20

  8. The prEN 18286 Reality Check

    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 controls are actually operating, traceable to this specific AI system, connected to a named accountable owner, and capable of detecting a serious incident before a civil society organization reports it to a market surveillance authority. That gap is about to matter more. prEN 18286 sets out the requirements for a […]

    hernanhuwyler.wordpress.com/20

  9. The prEN 18286 Reality Check

    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 controls are actually operating, traceable to this specific AI system, connected to a named accountable owner, and capable of detecting a serious incident before a civil society organization reports it to a market surveillance authority. That gap is about to matter more. prEN 18286 sets out the requirements for a […]

    hernanhuwyler.wordpress.com/20

  10. The prEN 18286 Reality Check

    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 controls are actually operating, traceable to this specific AI system, connected to a named accountable owner, and capable of detecting a serious incident before a civil society organization reports it to a market surveillance authority. That gap is about to matter more. prEN 18286 sets out the requirements for a […]

    hernanhuwyler.wordpress.com/20

  11. The prEN 18286 Reality Check

    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 controls are actually operating, traceable to this specific AI system, connected to a named accountable owner, and capable of detecting a serious incident before a civil society organization reports it to a market surveillance authority. That gap is about to matter more. prEN 18286 sets out the requirements for a […]

    hernanhuwyler.wordpress.com/20

  12. The prEN 18286 Reality Check

    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 controls are actually operating, traceable to this specific AI system, connected to a named accountable owner, and capable of detecting a serious incident before a civil society organization reports it to a market surveillance authority. That gap is about to matter more. prEN 18286 sets out the requirements for a […]

    hernanhuwyler.wordpress.com/20

  13. 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 does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  14. 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 does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  15. 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 does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  16. 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 does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  17. 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 does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20