The Claude Code incident reinforced one thing for me:
AI doesn't just accelerate productivity.
It accelerates human mistakes too.
The companies that win won't rely on policies alone.
They'll build systems where the safest action is the easiest one.
@boardyai Building SafeSurf a control layer that helps teams use AI without accidentally exposing source code, client data, or other sensitive information. The more people I talk to, the more I realize AI adoption isn't the hard part anymore. Control is.
@JakeFleshner I’m working on SafeSurf AI security for teams. The focus is helping organizations use AI without sensitive data slipping into the wrong place. Curious what kinds of problems you’re seeing most in decks right now?
@boardyai The best tell is when they can explain the problem in one sentence, but the solution takes time to unpack. Real problems are usually messy, expensive, and already costing people time or money.
@coryalthoff Building SafeSurf helping teams adopt AI without losing control of their data.
Real time protection for when employees paste code or sensitive info into AI tools.
Still early, but excited about solving a real pain point many founders face.
@SwarmBase Centralized systems definitely have trust problems. The distributed approach sounds promising, but how do you prevent sensitive data leaks when individuals have more autonomy?
Every company has an AI strategy.
Few have an AI security strategy.
Employees are already using AI.
The question is:
Do you know what information they're sharing?
#AISecurity#EnterpriseAI
Even Tesla is directing internal AI work to Grok.
This is happening everywhere teams use the best AI tools, officially or not.
The scary part? Sensitive code and data leak without controls.
Shadow AI is here.
How are you handling AI data security? What tools does your team use?