Data Masking

Protect sensitive information by removing or
modifying personally identifiable information (PII)

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Value of synthetic data

Automatically <br>Identify PII
Automatically
Identify PII

Save time and minimize manual efforts by automatically detecting PII

Enhanced Privacy <br>Protection
Enhanced Privacy
Protection

Reduce the risk of identification of individuals by removing or altering PII

Maintain Data Integrity
Maintain Data Integrity

Keep your data relationship intact by preserving their referential integrity across databases and systems

Discover our features

Discover Syntho’s Data Masking features

PII Scanner

Identify PII automatically with our AI-powered PII Scanner

Explore key features of our Data Masking tool that enhances data privacy while preserving its value.

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PII Scanner

Synthetic Mock Data

Substitute sensitive PII, PHI, and other identifiers

Substitute sensitive PII, PHI, and other identifiers with representative Synthetic Mock Data that follow business logic and patterns.

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Synthetic Mock Data

Consistent Mapping

Preserve referential integrity in an entire relational data ecosystem

Preserve referential integrity with consistent mapping in an entire data ecosystem to match data across synthetic data jobs, databases, and systems.

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Consistent Mapping
More features

Deploy Syntho
with your favorite tools

Syntho deploys within your secure environment, ensuring sensitive
data never leaves your premises. This allows data synthesis at the
source without external access.

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Product Demo

Data Masking

Use cases

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Use cases
Use cases

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What is synthetic data?

How does it work?

Why do organizations use it?

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Privacy Policy

Frequently Asked Questions

What is De-Identification?

De-identification is a process used to protect sensitive information by removing or modifying personally identifiable information (PII) from a dataset or database.

Why do organizations use De-Identification?

Numerous organizations handle sensitive information and accordingly, require protection. The objective is to enhance privacy, mitigating the risk of direct or indirect identification of individuals. De-identification is frequently utilized in scenarios necessitating data use, such as for testing and development purposes, with focus on preserving privacy and adhering to data protection regulations.

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Build better and faster with synthetic data today

Unlock data access, accelerate development, and enhance data privacy.

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