Databases & backend

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PVML

Secure virtual databases for enterprise AI without moving data

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PVML enables CIOs and IT teams to securely operationalize GenAI on existing infrastructure through unlimited virtual databases with built-in security and AI

Overview

The PVML homepage

PVML is a virtual database platform that lets organizations apply AI and analytics to sensitive data without moving, copying, or exposing it. The platform acts as a secure, permission-enforced layer on top of existing databases, enabling unlimited virtual databases that integrate seamlessly with AI applications. PVML uses differential privacy technology to apply dynamic user-level permissions and security controls at the query level, ensuring data remains in place while delivering real-time analytics and AI capabilities. The platform centralizes data access management, provides unified visibility and auditability for IT teams, and enables secure collaboration and data monetization across organizations.

Capabilities

Zero data movement or duplication through live database connectors
Differential privacy and security engine with real-time access control
AI-ready protocols that auto-generate MCP, A2A, and API integrations
Complete audit trails and governance for all agent actions
Flexible access modes including free text AI queries, SQL, and BI tools
Real-time analytics without data movement or copies
Anti-hallucination translation from natural language to data queries
SOC 2 certified with independent security verification

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PVML fact sheet

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Website	pvml.com

PVML metrics

Vendor metrics for pvml.com: Ahrefs Domain Rating and Majestic link data, with the delta since the last review.

Domain Rating: 25; +1 (up) since last check
Trust Flow: 5; no change since last check
Citation Flow: 28; no change since last check
Referring domains: 113; no change since last check
External backlinks: 335; no change since last check

Vendor Domain Rating (Ahrefs) checked 6 Nov 2026, spec changed 5 Nov 2026. Vendor topic: Society/Organizations (5). Vendor Majestic data checked 26 Oct 2026, spec changed 26 Oct 2026. Link metrics supplied by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

PVML vendor domain

Open the vendor record

We read this from the registry's RDAP record on 6 Nov 2026, 16:24 UTC.

Domain age: 20 years
Registered: 23 Feb 2006
Expires: 23 Feb 2027
Registrar: Domain.com - Network Solutions, LLC
DNSSEC: Not signed

Vendor domain report: pvml.com

PVML post-launch report

Measured after PVML went live on SaaS Directory Pro on 26 October 2026.
Measure	At launch, then latest
Domain Rating (Ahrefs)	24 to 25 +1 (up) since launch 26 Oct 2026, then 6 Nov 2026
Trust Flow (Majestic)	5 first measured 26 Oct 2026
Referring domains (Majestic)	113 first measured 26 Oct 2026

Day 10 since launch. Next receipt: day 30, 25 Nov 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.

Biggest gains on SaaS Directory Pro

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Buyer questions

How does PVML ensure real-time privacy-preserving analytics?

PVML uses proprietary Differential Privacy technology to allow real-time analysis of sensitive data by introducing randomization to the computation process rather than the data itself. This provides mathematically guaranteed private-preserving outputs while maintaining the accuracy of analytics and machine learning methods.

How is Differential Privacy different from Homomorphic Encryption?

Differential Privacy has no computational or memory overhead unlike Homomorphic Encryption, and guarantees privacy at the output level preventing reverse engineering and attribute inference attacks. Homomorphic Encryption allows computation on encrypted data but produces outputs with perfect accuracy that cannot guarantee individual privacy and remain vulnerable to re-identification attacks.

Do I need to move my data to use PVML's solution?

No. PVML provides live connectivity to existing databases without requiring data movement or duplication. The platform works on top of your current infrastructure with no installation required and no need to move data outside your organization's environment.

How does PVML address regulatory compliance requirements?

PVML is SOC 2 certified and its technology and privacy framework have been independently verified by legal and cybersecurity experts. The platform never stores or copies raw data and all processing occurs in real time within the client's controlled environment, ensuring data residency, sovereignty, and auditability.

Is PVML still useful if my data doesn't contain personally identifiable information?

Yes. Even when PII is removed, records often contain unique combinations of variables that can be re-identified when linked to other publicly available information. As data is increasingly accessed by AI systems rather than just people, re-identification risks escalate, making privacy protection important even for seemingly anonymized data.

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