Data Masking to protect your data

The Need for Data Security

We didn’t take a broad enough view of our responsibility, and that was a big mistake. (Mark Zuckerberg)

In today's digital landscape, the stakes for data security have never been higher. With the rise of stringent regulations like GDPR and growing public awareness following high-profile breaches such as the Facebook–Cambridge Analytica scandal, safeguarding sensitive data is a critical concern.

We offer a solution for companies storing sensitive data, such as data about their clients. The solution enables a company to minimize the risk of data leakage into public spaces, thereby saving money that would otherwise be spent on fines, compensations, and other expenses incurred to cover security incidents involving unwanted distribution of sensitive data.

How Our Solution Works

We have created a software which employs pseudoanonymization (data masking) techniques to protect sensitive data stored in relational databases.

There are different types of such sensitive data: names, birth dates, locations, credit card details, and so on.

Pseudoanonymization replaces identifiable data with placeholder values, rendering the clients anonymous.

Steps to Implement:

Identify Sensitive Data: Mark (manually or automatically) which database columns require data masking.
Perform Data Masking: Apply data masking to the marked sensitive columns.

Key Features

Compatible with any JDBC-compliant relational database (Oracle, MySQL, SQL Server, etc.)

Runs under any OS which supports Java: Windows/Mac OS/Linux etc.

Customized data masking strategies for different types of sensitive data (names, personal codes, birth dates, etc.)

Intuitive schema declaration via a YAML schema for seamless integration.

Open source advantage: Transparency, extensibility, and collaborative potential.

Additional Services

Expert Consultation: Setup guidance and customized solutions

UI Dashboard: User-friendly workbench for effortless data processing.

Comprehensive Tracking: Monitor changes to your database.

Automatic Backup/Restore: Secure data backup with optional encryption.

Real-World Use Cases

Comprehensive Data Security: Anonymizing data reduces the risk of data breaches and identity theft.

Data Retention Compliance: Meet GDPR requirements with pseudonymized data while preserving historical records.

Secure Development Environments: Protect sensitive data in non-production environments.

Marketing Insights: Use anonymized data for customer analysis without compromising privacy.

Who We are

We are a dynamic Latvian company specializing in security.

We provide professional services to ensure our clients' systems and data remain secure and resilient against potential threats.

Converting secrets into symbols...