Enterprise
Data Masking
Anonymize sensitive data at scale for compliant software testing,
data analytics, B2B data sharing, and AI.
Protect sensitive data without compromise

In-flight and contextual
Data is masked in flight, in the context of its business entity, preventing sensitive data from ever being exposed

Referential integrity
Entity data masking enforces referential integrity of the masked data, regardless of data source diversity

Static and dynamic
One tool for both static masking and dynamic masking, supporting any sensitive data use case
Anonymize data across all data sources and platforms
- Integrate with any data source, technology, or vendor: on-premise, or in the cloud.
- Connect to relational databases, NoSQL sources, legacy systems, message queues, flat files, XML documents, and more.
- Ensure referential integrity through patented entity-based data masking.
Accelerate software delivery

Reduce operational costs
Ensure data compliance

Enable secure collaboration
INTERACTIVE PRODUCT TOUR
Data Masking
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K2view Data Masking
Mask data from any source quickly and easily with K2view while maintaining referential integrity

Entity-based data masking tools
Our patented approach makes all the difference

Auto-discover business entity schemas and auto-classify the PII and sensitive data for the business entities

K2view ingests multi-source data and automatically organizes it by business entities, in real time, to enforce referential integrity and facilitate contextual masking

Data is then masked in the context of the business entity and delivered to any target system or data store, with referential integrity preserved
EXPERIENCE OUR Synthetic Data Generation TOOL
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Synthetic data generation
Create synthetic data for multiple systems based on user-defined business rules.
Synthetic data generation


Synthetic data subsetting
Provision a data subset from multiple systems using business parameters.
Synthetic data subsetting


Synthetic data masking
Anonymize production data in flight to ensure compliance with regulations.
Synthetic data masking
