Every data scientist knows the pain of waiting for network access while their models gather dust. Security teams lock things down, researchers push for speed, and somewhere in between, a project stalls. That’s exactly the gap Domino Data Lab and Zscaler are built to close.
Domino Data Lab gives enterprises a centralized platform for developing and deploying machine learning models at scale. Zscaler provides zero-trust access and network-level security without the usual VPN headaches. When you pair them, your ML stack gains both agility and compliance — data moves efficiently, engineers stay productive, and policies remain airtight.
Think of the Domino-Zscaler integration as a handshake between science and governance. Domino handles workloads and permissions at the workspace level. Zscaler enforces identity-aware connectivity, inspecting and securing every request before it touches your infrastructure. Together, they build a secure channel for collaboration where one cloud-native platform (Domino) runs computation and another (Zscaler) guards every byte.
How do I connect Domino Data Lab and Zscaler?
You configure Domino to route outbound and inbound traffic through Zscaler’s tenant gateway. Authentication flows follow your identity provider — often Okta or Azure AD — to verify users before they access project endpoints. Domino admins then map user roles to Zscaler policies, ensuring each data scientist only reaches allowed resources. It’s zero-trust, but without the zero-productivity feeling.
To keep the integration clean, manage credentials through Domino secrets, rotate tokens on schedule, and audit identity logs regularly. Zscaler’s inspection layer gives you visibility into endpoint usage while Domino’s workspace metadata provides context for who ran what and why. The two logs together create an unbeatable compliance trail.