With PVML your data is fully available for analysis,
but no single record can be observed, reproduced,
or extracted. No data duplication. No encryption.
No masking. No redacting.
PVML shifts the
- Provide fast and secure access to data with no manual privacy processes.
- Empower your users to extract value from data, without risking data privacy.
- The strongest Privacy-Enhancing Technology safeguards your sensitive data on-the-fly.
Why is data
And how PVML overcomes these
Data anonymization, reliant on manual or semi-
manual PII classification, is error-prone and time-
consuming. Additionally, it exposes data to the risk of
linkage attacks, where sensitive information may be
With PVML, data is automatically anonymized at the output
level, without requiring PII tagging or any data transformations.
Admins can give flexible permissions backed by our data
protection technology while these are automatically enforced
irrespective of how data is accessed, whether it be through SQL
queries or AI.
We’ve got you covered, with less
configurations and more value.
Eliminate the Grey Area
Automated privacy at the output level, enabling the analysis of even the most sensitive data without overthinking.
We use a game-changing data protection technology to unlock previously out-of-reach data.
We got you covered from the privacy to the insights.
Differential Privacy (DP) is a mathematical framework
that offers the strongest data safeguard in data-
driven systems and is currently employed by tech
giants like Google, Apple, and Microsoft.
DP achieves this by adding controlled noise to the output of a query or algorithm, rendering it statistically indistinguishable whether a specific individual’s data was included or excluded.