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.
Data Masking
Protect sensitive information by removing or
modifying personally identifiable information (PII)
Value of synthetic data
Automatically
Identify PII
Save time and minimize manual efforts by automatically detecting PII
Enhanced Privacy
Protection
Reduce the risk of identification of individuals by removing or altering PII
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
Learn more
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.
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.
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.
Product Demo
Data Masking
Use cases
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Advanced Analytics
Build strong data foundations with easy and fast access to AI generated synthetic data
Fast Data Sharing
Explore how to eliminate data sharing challenges that you will face when sharing original data
Change to Pilots, Hackathons and Innovation
Fast prototyping and hypothesis validation before real data request performance
Save your synthetic data guide now
What is synthetic data?
How does it work?
Why do organizations use it?
How to start?
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.
Build better and faster with synthetic data today
Unlock data access, accelerate development, and enhance data privacy.
Join our newsletter
Keep up to date with synthetic data news