For many enterprises, AI pilots never make it to production. The reason isn’t capability—it’s compliance. Zilliz, the company behind the open-source vector database Milvus, is addressing that bottleneck head-on with a new suite of enterprise security and compliance upgrades designed to help regulated organizations deploy AI safely at scale.
According to Zilliz, 70% of enterprises stall AI projects due to security and compliance risks. By baking in certifications, safeguards, and privacy controls, the company aims to shorten the leap from prototype to production from months to weeks.
“Security and compliance are not features we add at the end — they are part of our foundation,” said Charles Xie, CEO of Zilliz. “We’ve built a platform that allows enterprises to unlock the value of unstructured data with the peace of mind that their AI applications are protected by world-class security and certified compliance from the ground up.”
Raising the Bar for AI Trustworthiness
Zilliz positions security as more than a checkbox—it’s a core enabler of enterprise AI adoption. Its expanded framework includes:
- Certified Trust: SOC 2 Type II and ISO/IEC 27001:2022 certifications, with continuous third-party validation.
- Global Privacy Compliance: Full GDPR compliance, HIPAA readiness, and EU-U.S. Data Privacy Framework certifications (including UK and Swiss extensions).
- Enterprise-Grade Safeguards: AES-256 encryption at rest, TLS 1.2+ in transit, private networking options, RBAC, and detailed audit logging.
- Guaranteed Uptime: 99.95% availability SLAs with financial penalties for downtime, plus automated backup and disaster recovery.
- Data Sovereignty: Bring Your Own Cloud (BYOC) deployment keeps sensitive workloads inside customer perimeters while still benefiting from managed services.
From Open Source to Enterprise AI Infrastructure
Zilliz first gained traction with Milvus, the most widely adopted open-source vector database, used for managing and searching unstructured data like images, video, and embeddings. With these new safeguards, Zilliz is moving beyond developer adoption into the enterprise mainstream—particularly in industries like healthcare, finance, and government, where compliance is table stakes.
“The future of AI will be defined not only by what is possible, but by what is responsible,” added Xie. “Our customers can innovate at the speed of AI, knowing their infrastructure meets or exceeds the world’s most rigorous security and compliance benchmarks.”
Why It Matters
The AI market has no shortage of powerful tools, but enterprise adoption has lagged because trust—not tech—remains the limiting factor. By pairing open-source innovation with enterprise-grade compliance, Zilliz is making a clear pitch: AI at scale doesn’t have to come with regulatory headaches.
As regulatory scrutiny on AI sharpens worldwide—from the EU AI Act to U.S. healthcare data rules—vendors that can combine performance, compliance, and flexibility are best positioned to help organizations bring AI out of the lab and into production.
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