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Private AI: Enterprise Data in the RAG Era

Towards AIby Marwan Abu-GhazalehApril 2, 202617 min read3 views
Source Quiz
🧒Explain Like I'm 5Simple language

Hi there, little explorer! 🚀

Imagine you have a super-duper secret drawing, like a map to a treasure! 🗺️

Sometimes, grown-ups at big companies have secret ideas, like how to build a cool robot.🤖 They use smart computer friends called "AI" to help them.

But oopsie! Sometimes, grown-ups accidentally tell their secret ideas to the wrong AI friend, one that shares everyone's secrets with the whole wide world! 🌍 That's like putting your secret treasure map on a big billboard for everyone to see!

So, now companies want special, private AI friends that only keep their secrets safe, like a secret clubhouse just for them. No sharing allowed! That way, their robot ideas stay super secret and safe. ✨

Introduction: The Modern Crisis — Data Sovereignty. In early to mid-2023, global technology enterprises became acutely aware of a significant threat to their privacy and data security. The source of this issue was the employees themselves; whether intentionally or accidentally, staff shared critical and confidential proprietary information unauthorized for external access with public AI models. The core problem is that this data became part of global knowledge bases, which these companies do not control, making it accessible to the public. Consequently, a pressing need emerged for new measures to prevent data leakage. private AI Models Prominent Companies Affected by This Risk: Samsung: A group of engineers in the semiconductor division uploaded confidential source code to ChatGPT to fix p

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