The moment you don't think about
Most data leaks to AI aren't malicious. They're moments of convenience — a quick paste, a helpful context dump, a file dragged in to speed things up. Kasbah is for people who want to use AI freely without that nagging "wait, should I have shared that?"
Consultant
You work with clients who trust you completely
Your day is built around context-switching. Acquisition target on Monday, restructuring deck on Tuesday, competitive analysis by Thursday. You use AI to think faster — and it genuinely helps.
"I copied the slide deck from the client's board meeting to ask Claude to write an executive summary. I've done this a hundred times. This time the deck had the M&A target's non-public financials. The NDA I signed almost certainly covered this. Claude's training might too."
You probably didn't intend to break anything. You were under deadline. The risk was invisible until it wasn't.
What Kasbah does
Kasbah catches the financial data before it goes anywhere. One question: "This looks sensitive — block it?" You click Block. The client never knows. You keep the account.
Freelancer
You're accountable for data that isn't yours
Clients send you things — database dumps, design files, source code with comments that say "don't share this." You sign NDAs and mean it. But debugging goes faster with AI help, and that's where the habit forms.
"A client sent me database credentials over Slack to fix a production query. I pasted them into ChatGPT to debug it. Ten minutes later, done. The credentials were probably fine — but I don't know what OpenAI does with inputs. And I definitely didn't think about it in the moment."
You're not careless. You're efficient. The problem is that "efficient" and "secure" stopped meaning the same thing when AI entered the workflow.
What Kasbah does
Kasbah catches the credentials before they're pasted. A block modal appears. You realize what you were about to do. Thirty seconds later you're asking about the query pattern without the credentials attached. Same result, no exposure.
Founder
You're building something you haven't announced yet
You ask AI for help constantly — competitive research, investor language, team feedback, financial modeling. It accelerates everything. The problem is that AI doesn't know what's public and what isn't.
"I pasted my financial model into Claude to help write the investor memo. ARR, burn, cap table — everything a competitor would want. The round hadn't closed. I didn't think about it as a risk because I was thinking about the memo."
The goal wasn't to expose your numbers. The goal was a better memo. Kasbah is for the gap between what you intended and what you sent.
What Kasbah does
Kasbah spots the financial data before it sends. You still write the memo — just without pasting the actual numbers. Everything stays on your machine.
Teams
You've given your team freedom — now what?
You told your team to use AI tools. ChatGPT, Claude, Gemini — whatever helps. They're good people who work fast and mean well. But twelve people making independent decisions about what's okay to share is twelve chances for something to go wrong.
"A junior engineer on the team pasted a .env file to debug a config issue. He fixed the bug in two minutes. Nobody told me. I found out three weeks later in a code review when I noticed the file had been modified. By then it didn't matter anymore — the damage was theoretical but the exposure was real."
There's no training that fixes this at scale. The moment of paste happens too fast, too casually, too often. You need something that works at the habit layer.
What Kasbah does
Kasbah catches the credentials before they're sent. The engineer sees a block. They fix the habit once. You see what happened — not surveillance, just enough to know when something nearly went wrong.
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