u/TrillionDefense

I recently saw a teammate about to paste a huge sales CSV into ChatGPT just to "clean the formatting." It hit me then: we’re all moving fast with AI, but we’re essentially flying blind when it comes to accidental data leaks.

Existing firewalls are usually too clunky, so we built DarkBarrier. The goal was to make something that actually understands context—it won't bug you over a grocery list, but it'll step in if it sees a sensitive sales forecast.

You can set it to a hard block or just a friendly "nudge," and even brand it so it feels like a helpful internal tool rather than a generic error message.

Curious how you’re all handling this? Are you blocking AI entirely, or just hoping for the best?

I recently saw a teammate about to paste a huge sales CSV into ChatGPT just to "clean the formatting." It was a massive wake-up call. We all want our teams to move fast with AI, but most companies are essentially flying blind when it comes to accidental data leaks.

I looked for a solution that wasn't a clunky corporate firewall, but couldn't find anything that balanced security with actual productivity. So, we built DarkBarrier.

The core of what we built is a context-aware "nudge." It’s smart enough to know the difference between a grocery list and a proprietary sales forecast, so it only steps in when it actually matters. We made it flexible—companies can set hard blocks for high-risk data or just friendly warnings for everything else.

As AI adoption becomes the standard, the "to block or not to block" dilemma is becoming a massive hurdle for scaling safely.

I’d love to hear from this group—how are you seeing your portfolio companies or the firms you follow manage this risk? Are they clamping down, or is there a shift toward more nuanced governance?

Watch In Action

youtube[dot]com/watch?v=vX0C5-k6G0c

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