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
World-leading enterprises rely on K2view
Leverage AI to automatically:
- Identify and classify sensitive data by scanning metadata and database content.
- Set up role-based (RBAC) and attribute-based (ABAC) access controls.
- Apply data masking rules and generate reports for full regulatory compliance.
Data masking functions
for any job
- Choose from dozens of built-in masking functions or customize your own.
- Use dynamic data masking for operational workloads.
- Select static data masking for data analytics and software testing.
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.
Anonymize images and PDFs
- Protect sensitive data in unstructured files (images, PDFs, text files, and more).
- Generate synthetic, digital versions of receipts, checks, contracts, and more.
- Maintain referential integrity of masked data across structured and unstructured sources.
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