Case Study: Hugging Face strengthens zero trust networking for machine-learning tooling with Tailscale

Hugging Face adopts zero trust networking to protect critical machine-learning tooling with Tailscale

Hugging Face, the machine learning collaboration platform, needed a more efficient and secure way to standardize remote access across a fast-growing, highly distributed environment. Its team had been using many separate tools to access servers and resources, which created overhead and made it difficult to support remote employees with consistent zero-trust security.

Tailscale provided a universal secure remote access solution integrated with Okta, SCIM, ACLs, and GitHub Actions, enabling SSO with MFA, automated user provisioning/deprovisioning, least-privilege access, and ephemeral keys for CI/CD workflows. With Tailscale, Hugging Face streamlined network management, strengthened security across clouds and environments, and saved the team tens of hours per month while reducing attack surface.

Hugging Face

Guillaume Legendre

DevOps engineer