Data Masking Software
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
PII Scanner
Identify PII automatically with our AI-powered PII Scanner
Mitigate manual work and utilize our PII scanner to identify columns in your database containing direct Personally Identifiable Information (PII) with the power of AI.
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.
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What are typical use cases for de-identification?
De-identification entails the modification or removal of personally identifiable information (PII) from existing datasets and/or databases. It is particularly effective for use cases involving multiple relational tables, databases and/or systems and is commonly applied in test data use cases.
Test data for non-production environments
Deliver and release state-of-the-art software solutions faster and with higher quality with representative test data.
Demo data
Astonish your prospects with next-level product demos, tailored with representative data.
How to apply smart de-identification
Protect sensitive information by removing or modifying personally identifiable information (PII)
How can I utilize Syntho’s Smart De-Identification solutions?
Configure de-identification effortlessly within our platform with user-friendly options tailored to your needs. Whether you’re focusing on entire tables or specific columns within them, our platform provides seamless configuration capabilities.
For table-level de-identification, simply drag tables from your relational database into the de-identify section in the workspace.
Database-level de-identification
For database-level de-identification, simply drag tables from your relational database into the de-identify section in the workspace.
Column-level de-identification
To apply de-identification on a more granular level or column level, open a table, choose the specific column you want to de-identify, and effortlessly apply a mocker. Streamline your data protection process with our intuitive configuration features.
Frequently asked questions
De-identification is a process used to protect sensitive information by removing or modifying personally identifiable information (PII) from a dataset or database.
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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