Shadow AI governance: strategies to rein in rogue models

This post discusses strategies for governing 'shadow AI' (unauthorized AI tool usage) by focusing on building governance into platform architecture, implementing risk-based approval processes, aligning with regulatory frameworks, providing approved alternatives, and creating visibility. It highlights the risks of data exposure and metric inconsistency from ungoverned AI. The post advocates for embedding governance in platforms like Hex, which offers AI-assisted features within a controlled environment, and emphasizes the importance of making governed analytics faster and easier than alternatives.