PVML is a platform that enables IT teams to spin up unlimited, secure, AI-ready virtual databases on existing infrastructure without moving or duplicating data. It acts as a virtualization layer for databases, similar to how VMware virtualized physical machines. The platform addresses challenges posed by AI agents, including security and governance exposure, identity and context limitations, cost and availability risks, and manageability and observability gaps. PVML provides infrastructure-layer security by applying dynamic user-level permissions and availability protections directly on queries before database execution. It uses proprietary mathematical guardrails to prevent unauthorized data access across AI agents, BI tools, and APIs. The platform enforces resource controls and availability protections before they hit production systems to manage unpredictable loads. Every virtual database is centrally defined and audited, providing unified visibility, consistent governance, and operational simplicity for IT.
Key Features
- Connect: Live connectivity to any database with zero data movement or duplication, powered by high-performance Golang connectors.
- Protect: A security engine that applies scope and permissions to every agent query, enforcing real-time access control.
- Unlock: Each virtual database auto-generates AI-ready protocols (MCP, A2A, API) for plugging into AI tools like ChatGPT and Claude.
- Monitor: Every agent action from query to response is logged, providing full audit trails for enterprise-grade observability.
Use Cases
- Analyze Data with AI: Enforce permissions on live chats, empower users to analyze data in real time using free text, and provide explainability for results.
- Anonymization: Centralize data sources to promote collaboration across business units without compromising privacy.
- Monetization: Allow companies to monetize insights derived from data without risking customers' privacy, with AI-based options to analyze the data.
Who It's For
PVML is designed for enterprise IT teams managing sensitive data across multiple sources, particularly in industries like fintech, insurance, and telecom.
Key Benefits
- No data movement or duplication required
- Enforces real-time access control on AI agent queries
- Provides unified visibility and audit trails
- Supports multiple AI protocols (MCP, A2A, API)
