1600 related articles

PISIGuard is an open-source privacy tool that automatically detects and anonymizes names, phone numbers, and IDs before they reach AI chatbots like ChatGPT, preventing personal data leaks to cloud servers.

Vao2 is an open-source personal information aggregator combining news, YouTube, GitHub, and RSS into one feed with Ollama-powered local AI summaries for privacy-first, zero-cost usage.

Noisegate is a differential privacy gateway for untrusted AI agents that injects calibrated noise into data flows, providing mathematically proven privacy guarantees when AI Agents process sensitive data.

Noisegate is a differential-privacy gateway for untrusted AI agents, injecting calibrated noise into data flows to provide mathematically guaranteed privacy protection for sensitive data processed by AI Agents.

FluentDB is a Mac-native AI database client supporting PostgreSQL, MySQL, SQLite with Claude, OpenAI, and Ollama local models. A detailed review of its AI capabilities, privacy mechanisms, and UX.

OpenAI launches Health in ChatGPT, integrating health data, interpreting medical reports, and aiding appointment prep. A deep dive into its features, privacy concerns, and industry implications.

Echologue is a privacy-first AI voice journal that processes data locally with end-to-end encryption. This analysis examines its product design, technical architecture, and indie developer philosophy.

Explore Chrome Built-in AI technology and how running AI models locally in the browser enables zero data upload, instant responses, and stronger privacy protection.

Deep dive into Chrome Built-in AI technology, exploring how running AI models locally in the browser achieves zero data uploads, instant responses, and stronger privacy protection.

Google faces legal action over alleged illegal retention of customer data. Analysis of compliance boundaries, historical privacy penalties, individual advocacy challenges, and how users can protect their data rights.

Microsoft Build deep dive: how to deploy AI agents in Teams multi-user collaboration. A three-pillar framework—Manners, Privacy, Polish—covering emoji reactions, targeted messages, Adaptive Cards, and more for enterprise agent developers.
Guerrilla Ads Take Aim at Meta Smart G…
Guerrilla ads on London buses target Meta's Kylie Jenner smart glasses campaign, reigniting privacy debates. From Google Glass to Ray-Ban Meta, why does the 'silent recording' problem never go away?

U.S. communities are organizing to resist Flock Safety ALPR cameras — from petitions to physical destruction — revealing deep public anxiety over AI surveillance, data privacy, and governance gaps.

When cloud AI privacy terms hide data-sharing risks, local model deployment and open-source frameworks offer developers a path to true data control. Analyzing xAI, OpenAI, GLM, Kimi, and Qwen.
Privacy Messaging App Briar Enters Mai…
Briar, the decentralized encrypted messaging app, has entered maintenance mode. Learn what this means for users, why open-source privacy tools struggle, and which alternatives like Signal or Session to consider.

Claude Code found to contain user monitoring logic, raising AI tool privacy concerns. Learn how to isolate Claude Code, Codex & Copilot with Docker Sandboxes — full setup and escape testing included.

How does watermarking work — and why won't companies deploy it? How does differential privacy defend against membership inference attacks? Based on talks by IISc and IIT scholars, this article unpacks the core mechanisms and real challenges in LLM security.

Meta pulled a newly launched AI image feature within days amid strong user backlash. This article analyzes the privacy authorization controversy, the challenges of deploying generative AI, and lessons for the tech industry.

EFF formally writes to the FTC alleging X (formerly Twitter) violated its privacy consent order. Mass layoffs, AI data misuse, and weakened FTC enforcement raise serious user privacy concerns.

An in-depth analysis of the EU's Chat Control legislative proposals: from 1.0 voluntary scanning to 2.0 mandatory detection orders, revealing the threat of client-side scanning to end-to-end encryption and the privacy vs. child protection debate.