Privacy

Your AI agent browses the web. It makes API calls. It fetches content, sends requests, and generally behaves like an active network participant — except it does it continuously, at scale, and under your identity. If that makes you slightly uncomfortable from a privacy standpoint, you’re not wrong to feel that way. Windscribe’s new OpenClaw integration gives your agent its own dedicated VPN tunnel, separating its network activity from your personal traffic at the infrastructure level. Here’s how to set it up. ...

A developer investigating unexpected behavior from a Vercel plugin installed alongside Claude Code has uncovered what appears to be undisclosed data collection — including bash command strings and session-level data — occurring in projects that have nothing to do with Vercel. The findings, reported by TechRadar, were themselves discovered using Claude as an investigation tool, creating a notable meta-story: Claude was used to expose privacy concerns in a plugin bundled with Claude Code. ...

After a developer recently used Claude itself to discover that a Vercel plugin bundled with Claude Code was collecting bash commands and session data beyond its stated scope, the question of plugin supply-chain safety has moved from theoretical to immediate. This checklist gives you a practical process for auditing what your Claude Code plugins are actually doing. Related news: Claude Code’s Vercel Plugin Quietly Collected Bash Commands — A Developer Used Claude to Expose It ...

NVIDIA launched NemoClaw at GTC 2026 with a clear pitch: if you’re scared of deploying OpenClaw in production, we’ve built the security and privacy stack you’ve been waiting for. It’s a compelling offer — but the enterprise AI community is asking hard questions about whether it’s a genuine technical solution or a smart infrastructure play by the world’s largest AI chip vendor. What NemoClaw Actually Does NemoClaw is NVIDIA’s reference stack for the OpenClaw platform. It’s designed to lower the barrier to deploying so-called “claws” — OpenClaw AI agents that can perform complex, multi-step actions autonomously. Jensen Huang positioned it simply at GTC: NemoClaw makes it easier to build a claw, and it makes that claw more secure. ...

Stanford researchers just released OpenJarvis — a local-first framework for building AI agents that run entirely on-device, with no cloud calls required. Tool use, persistent memory, and online learning. All on your hardware, completely private. For anyone who’s been waiting for a serious open-source alternative to cloud-hosted agent frameworks for privacy-sensitive applications — healthcare, legal work, personal data processing, enterprise environments with air-gap requirements — this is worth a close look. ...

Not every AI workload belongs in the cloud. Liquid AI’s new LocalCowork platform is making a direct bet on that premise — and backing it with a genuinely efficient model architecture that makes local agentic inference practical on consumer hardware. Released March 5, 2026, LocalCowork is an open-source local agentic workflow platform that runs MCP-based agent tasks entirely on-device using Liquid AI’s LFM2-24B-A2B mixture-of-experts model. The headline number: 2 billion active parameters out of 24 billion total. That ratio is what makes local deployment viable. ...