Zilliz' bring your own cloud ✨

"Enterprises face unique hurdles in adopting AI at scale. Sensitive data must remain within secure, controlled environments, avoiding public networks or shared infrastructures. 

"Traditional SaaS models often fail to meet these stringent data sovereignty and compliance demands. Beyond this, organizations require granular control, comprehensive auditing and full transparency to trace every AI decision and data access. 

"This ensures vendors cannot interact with sensitive data without explicit approval and documentation. 

"These unmet needs create a significant gap, preventing regulated industries from deploying AI solutions while maintaining compliance and security.


"The architecture separates system operations into two distinct areas: control and data. Each serves a specific purpose while maintaining security boundaries."

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