AI Governance Insights
Practical guides on ISO 42001, EU AI Act, NIST AI RMF, and building trustworthy AI systems.
Start Free — No Credit CardWhat is ISO 42001? The AI Management System Standard Explained
ISO 42001 is the world's first international standard for AI management systems. Learn what it covers, who needs it, and how to achieve certification.
Read article →EU AI Act Compliance Guide 2025: What Your Company Needs to Know
The EU AI Act is now in force. This guide covers risk classifications, prohibited AI, high-risk obligations, and the fastest path to compliance.
What is an AI Registry? And Why the EU AI Act Requires One
An AI registry is a centralised inventory of every AI system your organisation develops or deploys. Here is what it must contain and how to build one.
NIST AI RMF Implementation Guide: Govern, Map, Measure, Manage
The NIST AI Risk Management Framework provides a structured approach to trustworthy AI. This guide walks through all four core functions and how to implement them.
Continuous Compliance vs Point-in-Time Audits: Why Annual Cycles Are Broken
Point-in-time audits give you a snapshot of one day in 365. Continuous compliance gives you live evidence every day. Here is why the industry is shifting — and how to make the move.
AI Trust OS: A Continuous Governance Framework for Autonomous AI Observability
Published on arXiv. AI Trust OS reconceptualises compliance as an always-on, telemetry-driven operating layer — discovering AI systems through observability signals rather than manual attestation.
Think Before You Act: A Neurocognitive Governance Model for Autonomous AI Agents
Published on arXiv. A framework that embeds governance into AI agent reasoning — mapping human executive function to LLM-driven pre-action deliberation, achieving 95% compliance accuracy with zero false escalations.
Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Support
Published on arXiv. A privacy-first AI platform for mental health decision support — all patient data processed entirely on-device. No data ever leaves the device, no cloud inference, no privacy risk.
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