Right now, someone on your team is pasting source code, customer records, or an internal document into a public AI model to move faster. It works. It also just left your company. Every prompt is a data export, and nobody logged it.

This episode breaks down why the real gap is the missing checkpoint on the way out, why you cannot unsend a prompt once it crosses the boundary, what Samsung learned in three incidents inside twenty days, and what an outbound boundary looks like when it inspects, blocks, and logs before the data leaves.

You cannot unsend a prompt. So you stop it at the boundary.

Keywords: AI data leakage, data loss prevention, shadow AI, enterprise AI security, LLM security, outbound boundary, proprietary data, model training data, AI governance, AI infrastructure, CISO, CTO

This is Maya. New episodes three times a week.

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