Beyond the Hype: How to Set Up Your AI Project for Real Success

This article warns that rushing into AI—especially LLMs—without foundational data security and governance leads to heightened risks of data exposure and privacy incidents, citing industry surveys and an anecdotal leak. It advocates a data-first, human-centric approach and recommends establishing data classification, guardrails, monitoring/visibility, and continuous employee training to safely realize AI’s benefits.