NVIDIA introduces NemoClaw and works to strengthen OpenClaw security
Updated
Updated · NVIDIA Blog · Apr 30
NVIDIA introduces NemoClaw and works to strengthen OpenClaw security
14 articles · Updated · NVIDIA Blog · Apr 30
The company said NemoClaw installs OpenClaw, OpenShell and Nemotron models with one command, after OpenClaw surged past 250,000 GitHub stars by March.
NVIDIA said it is working with creator Peter Steinberger and the developer community on model isolation, local data access controls and verification of community code contributions.
The move targets enterprise use of always-on autonomous agents, whose continuous operation can sharply raise inference demand and intensify concerns over governance, privacy and unsafe actions.
After massive security failures and its creator joining OpenAI, can OpenClaw's original vision of safe, private AI survive?
Autonomous AI agents are making independent decisions. Who is legally responsible when they inevitably cause real-world harm?
From Crisis to Containment: NemoClaw’s Alpha-Stage Security Framework for OpenClaw Agents
Overview
OpenClaw rapidly gained popularity by early 2026 but soon faced a major security crisis due to critical vulnerabilities and widespread exposure, including a severe supply chain attack. This led to restrictions by enterprises and governments, prompting Nvidia to launch NemoClaw as a secure framework with sandboxing, strict network controls, and a privacy router to protect credentials. While NemoClaw significantly improves security and enables cautious enterprise adoption, it remains in alpha with limitations like websocket risks and reliance on operator discipline. Industry collaboration and ongoing improvements are essential to address these challenges and realize the vision of trustworthy autonomous AI agents.