Vellum
22 Case Studies
A Vellum Case Study
Drata, a leading trust management platform, faced significant challenges in scaling its AI-powered security questionnaire system. The company needed to ensure strict data separation across its 7,000+ customers while maintaining accuracy and reliability, as manual iterations and a lack of observability were hindering growth. To overcome these enterprise-grade hurdles, Drata turned to vendor Vellum for its AI solution.
By implementing Vellum's platform, including its RAG component and Workflows, Drata achieved isolated vector databases for each customer, ensuring security and privacy. The solution enabled product managers to build AI workflows without engineering help and provided rigorous testing and monitoring through the Vellum SDK. This resulted in Drata automating security questionnaires in 60 days, achieving faster and safer AI updates, and gaining full observability into every AI execution. Vellum provided the tools necessary to transform a manual process into a secure, scalable, and fully automated enterprise-grade system.
Kevin Kho
AI Engineer