Meta’s new AI chatbot app includes a public “discover” feed where users' private conversations are being shared — sometimes without their full understanding. From intimate relationship confessions to awkward or explicit prompts, users are broadcasting personal queries without realizing the feed is visible to others. This design choice highlights deeper privacy concerns in AI products and raises urgent questions about consent, transparency, and regulation.

A hacker recently exploited a security gap in Amazon Web Services' AI coding assistant, Amazon Q, inserting a prompt that could have wiped users’ files and cloud resources. The attack targeted a GitHub repository tied to an official extension for Visual Studio Code—highlighting alarming weaknesses in AI supply chains and development security.

Imagine an operating system so intuitive, powerful, and transformative that it reshapes our digital interactions—much like Windows and macOS once did. Welcome to the era of Large Language Models (LLMs). While revolutionary, these models currently face critical challenges concerning data privacy, user autonomy, and security.

The adoption of artificial intelligence, particularly Large Language Models (LLMs), is transforming industries worldwide. While AI offers substantial advantages, it also introduces unique security challenges. Businesses must understand these threats to effectively safeguard their intellectual property and sensitive data.

Large Language Models (LLMs) have rapidly become integral to various applications, from personal assistants to enterprise solutions. As their adoption grows, so do concerns regarding the data they process and retain. This document provides a comprehensive analysis of what data LLMs keep, including personal information, health data, and documents, along with specific examples and an examination of current industry practices and relevant privacy regulations.

In an increasingly digital world, the lines between personal privacy and business security often blur. For privacy-minded individuals and small businesses, protecting sensitive documents and invaluable trade secrets isn't just a best practice—it's a necessity for survival and peace of mind. From personal financial records to proprietary business strategies, the information you hold is your digital crown jewels, and safeguarding them requires a proactive and multi-layered approach.