PrivateClaw launches AI agents that encrypt your data at the hardware level—no need to trust the company with your secrets

PrivateClaw, a startup, built a new way to run AI agents (self-directed AI programs that take actions on your behalf) inside isolated virtual machines that use AMD's SEV-SNP encryption standard. Unlike existing AI platforms, the company's hardware-enforced encryption means your data, prompts, and AI responses stay encrypted even if the platform operator or cloud provider tries to read them.

The differentiator: each user gets a dedicated, isolated virtual machine with encryption keys controlled by AMD's security processor—not the operating system or cloud provider. This means the hypervisor (the software layer managing all virtual machines on a server) physically cannot access your data, unlike traditional cloud platforms where the provider holds the decryption keys.

For anyone running sensitive business workflows through AI agents—legal firms processing confidential documents, companies analyzing proprietary data, or regulated industries like healthcare—this removes the need to choose between using AI automation and protecting data privacy. You can verify the security yourself through PrivateClaw's open-source command-line tool on GitHub.

Try it now by running `ssh privateclaw.dev` in your terminal; the CLI tool is pre-installed on all systems. The code is open-source, so security researchers can audit the implementation.