Data Masking.
Secure and Compliant
Protect sensitive data with our powerful data masking tool
Ensure compliance by masking sensitive data
Protect sensitive information for secure B2B data sharing
Enable secure software testing with anonymized datasets
Trusted By
We’re a great fit for both startups and enterprises
Why Data Masking Matters
01 Protecting Data Privacy
02 Ensuring Regulatory Compliance
03 Enabling Safe Data Sharing
04 Supporting Secure Software Testing
How It Works
Data Masking Solution
- Mask Oracle, MS SQL, and PostgreSQL data
- Apply customizable masking functions
- Save time with masking 1,000,000+ table rows per minute
Who is Data Masking For?
QA Engineer
Software Engineer
Data Engineer
DevOps
Why Choose PFLB’s Data Masking Tool?
User-Friendly
Comprehensive
Support
Detailed Documentation
Case Study
A leading bank, ranked among the top 20 in its market, provides services to millions of customers daily. Staying at the forefront of this competitive market requires not only stable and updated infrastructure but also rapid feature delivery to maintain the highest service quality.
Dive in Our Knowledge Base
FAQs
01How is Your Data Masking Tool Different?
We build our solution for companies that prioritize the speed of masking. Our tool is much faster than any ETL-based solutions because we perform all computations at the database level.
02What types of data can your Data Masking Tool handle?
Our tool can mask a wide range of sensitive data, including Personally Identifiable Information (PII) and Protected Health Information (PHI). It supports various data types such as names, addresses, Social Security numbers, financial information, and more.
03Is your Data Masking Tool compliant with data protection regulations?
Yes, our Data Masking Tool is designed to comply with major data protection regulations like GDPR, HIPAA, and CCPA. It ensures that sensitive data is anonymized according to industry standards to help you maintain compliance.
04Which databases are supported by your Data Masking Tool?
Our tool supports major databases, including Oracle, MS SQL, and PostgreSQL.