Your Engineers Are Using AI Coding Tools. Your Data Is Already Gone.

Your acceptable use policy says don't share sensitive data with AI tools. That's not a control. That's a hope.

Every time an engineer opens a file in Cursor or GitHub Copilot, the surrounding code — schemas, query results, business logic — gets transmitted to a third-party model provider automatically. No prompt. No confirmation. No log entry on your side.

Your DLP doesn't see it. Your network monitoring sees encrypted traffic to api.openai.com and nothing else. Your CISO cannot audit something they cannot see.

And it's not just engineers. Your data analysts are pasting query results into ChatGPT to write transformations faster. Your quants are sharing strategy logic with AI assistants to debug models. Your compliance staff are summarizing regulatory correspondence in Claude because it saves an hour.

None of it is logged. None of it is reviewed. None of it is subject to the data governance controls that govern every other channel this data moves through.

The OCC and Federal Reserve are starting to ask about this directly. SR 11-7's requirements — inventory, monitoring, audit trail — apply to this risk whether your governance program has caught up or not.

The fix isn't another policy. It's a proxy. A governance gateway sits between your engineers and the AI providers, inspects every outbound prompt, detects sensitive data, enforces policy, and logs everything immutably. The engineer's workflow doesn't change. You finally have visibility.

The institutions that deploy controls now will have clean audit evidence when examiners ask. The ones that wait will be explaining a gap retroactively.

BastionGate is an enterprise AI governance gateway for regulated industries. [Get a demo.]