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Practical thinking for securing organizational AI. Get clear ideas for AI rollout, workspaces, rules, reporting, cost visibility, and the operating decisions that help teams use AI with confidence.

Preventing AI data exfiltration: governance beyond policy

Featured insight

Preventing AI data exfiltration: governance beyond policy

Answer: Recent reports of malicious browser extensions intercepting AI queries underline a basic truth: written AI policy is necessary but not sufficient. Organizations need operating controls—workspace ...

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When browser extensions leak AI queries: governance steps
AI Security IT Leadership AI Governance

When browser extensions leak AI queries: governance steps

A malicious Chrome extension recently intercepted user queries and address-bar input, highlighting why runtime AI governance must live in daily ...

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Understanding Model Context Protocol
AI Security IT Leadership AI Governance

Understanding Model Context Protocol

Model Context Protocols: A Critical Framework for Enterprise AI Success The New Reality of AI Governance and Security In today's enterprise ...

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The Importance of Metadata in Prompt Engineering
AI Security AI Governance

The Importance of Metadata in Prompt Engineering

Applying Metadata to Prompts: A Crucial Step for AI Data Governance

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The Challenges of AI Adoption
AI Adoption AI Collaboration

The Challenges of AI Adoption

Revised Blog Post: Overcoming AI Adoption Barriers with Practical Solutions

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Why Algorithmic Diversity Matters for Enterprise AI
AI Regulation IT Leadership AI Governance

Why Algorithmic Diversity Matters for Enterprise AI

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