Field notes on AI governance

As organisations deploy AI, they face growing compliance, security, and accountability challenges. This blog provides essential insights into AI governance, helping teams navigate those risks.

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A bank protected by a purple shield, connected to ChatGPT, Claude, and Copilot, illustrating data protection, policy enforcement, and audit evidence.

AI Governance for Financial Services: Controls for Banks Using ChatGPT, Claude, and Copilot

September 202611 min read

WalledAI governance dashboard intercepting ChatGPT, Claude, Copilot, Gemini, and internal LLM traffic, showing total interactions, policy violations, masked prompts, active users, and a compliance panel listing EU AI Act, NIST AI RMF, ISO 42001, MAS TRM, and SOC 2.

Regulator-Ready AI Audit Logs: What Enterprises Need to Capture

August 202610 min read

How the Claude text watermark works - an invisible shield, a document, and a magnifying glass revealing a hidden statistical pattern, labelled Invisible, Robust, Detectable, and Audit-Ready.

Claude's AI Watermarking Explained: How It Works, What It Misses, and What Enterprises Must Do Now

August 202619 min read

Illustration of interconnected governance pillars protecting enterprise AI systems - reliability, safety, privacy, and security.

Responsible AI: The Governance Pillar Every Enterprise Needs

August 202615 min read

Diagram of the 10 AI governance framework design patterns - ingress, identity, decision, execution, and evidence stages routing browser, desktop, API, and AI agent traffic through a centralised policy engine.

AI Governance Framework Design Patterns: A Technical Implementation Guide

August 202614 min read

Enterprise AI governance platform control plane connecting employees and applications to ChatGPT, Claude, Copilot, cloud AI APIs and internal LLMs, with masking, access control and audit logging.

Enterprise AI Governance Platform: Control ChatGPT, Claude, Copilot, and Internal LLM Usage

August 202611 min read