Gantry Secures AI Data with Indent and Tailscale
When building AI products, training and production data become your secret sauce.
Gantry is a continuous machine learning improvement platform that makes building with AI more accessible and safe. Their infrastructure makes it easy to observe, analyze, and evaluate the performance of AI powered products while reducing development costs and risk.
Screenshot of Gantry Analytics dashboard
Gantry was looking for a way to automate least privilege access, to reinforce their security posture and make compliance simpler.
“Our customers are feeding their training and production ML data into our platform. They trust us to safeguard, what is in a lot of cases, their secret sauce. Getting production access control right plays a big part in our ability to maintain their trust.”
After evaluating several solutions that introduced too much friction and didn’t provide the value they were looking for, Gantry found Indent.
Within two days, Indent was rolled out to Gantry’s twelve engineers. Their new access workflow paired Tailscale at the networking level with Indent to handle approvals, ACL updates, and logging.
“Indent and Tailscale are easy to setup and require pretty minimal admin effort. With Indent’s Tailscale integration, you can get a Zero Trust network stood up quickly that checks all the security best practice boxes without annoying or slowing down engineers.”
Read more about how Gantry uses Indent and Tailscale to secure training and production ML data in our case study.
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