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
- 01 PII Auto-Discovery with AI
- 02 Dynamic Data Masking
- 03 Unstructured Data Masking
- 04 All Data Sources
01PII Auto-Discovery with AI
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.
02Dynamic Data Masking
Data masking functions for any job
- Choose from 100s of built-in masking functions.
- Create re-usable functions yourself.
- Use dynamic data masking for operational workloads.
- Select static data masking for data analytics and software testing.
03Unstructured Data Masking
Anonymize PII from 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.
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04All Data Sources
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.
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EXPERIENCE OUR Data Masking TOOL
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Data masking
Anonymize production data in flight to ensure compliance with regulations.
Data masking
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Next flow: Data subsetting
Data subsetting
Provision a data subset from multiple systems using business parameters.
Data subsetting
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Next flow: Test data generation
Test data generation
Create synthetic data for multiple systems based on user-defined business rules.
Test data generation
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Define business entities
Auto-discover business entity schemas and auto-classify the PII and sensitive data for the business entities
Auto-ingest and organize
K2view ingests multi-source data and automatically organizes it by business entities, in real time, to enforce referential integrity and facilitate contextual masking
Mask data on-the-fly
Data is then masked in the context of the business entity and delivered to any target system or data store, with referential integrity preserved
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