Accelerate your SDLC
with masked test data on demand
Automated PII discovery and classification
Discover your sensitive data
You can't mask Personally Identifiable Information (PII) if you don't know where it is. Benefit from a built-in discovery tool that automatically classifies PII/PHI data, and then masks it in-flight, as it is ingested by K2tdm.
- Customize predefined rules for identifying PII for GDPR, CCPA/CPRA, HIPAA compliance and more.
- Scan and classify your sensitive data automatically.
- Apply data masking functions to sensitive data when it is ingested by K2tdm, for full regulatory compliance
Hundreds of prebuilt masking functions
Customizable data anonymization
Test data from production sources is masked on-the-fly before it arrives to your K2tdm test data store.
- Dozens of built-in masking functions, with the ability to customize them, code-free.
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Preservation of data format ensures test data utility for software testing
- Business entity approach ensures referential integrity is always maintained.
UNSTRUCTURED DATA MASKING
Purge PII from unstructured and semistructured files
Privacy regulations do not distinguish between structured and unstructured data.
- Protect PII in unstructured files (images, PDFs, text files) and semistructured files (XML, CSV, JSON)
- Generate synthetic, digital versions of receipts, checks, contracts, and other items for testing purposes
- Maintain referential context across structured and unstructured data
K2view gets top scores in Gartner Peer Insights
"K2view Data Masking has been a game-changer for us.
It efficiently transforms massive amounts of raw data from multiple streams into reliable, masked data. This enables our dev and QA teams to quickly develop efficient products and access test data instantly."
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Data anonymization
Anonymize production data in flight to ensure compliance with regulations.
Data anonymization
Data subsetting
Provision a data subset from multiple systems using business parameters.
Data Subsetting
Synthetic data generation
Create synthetic data for multiple systems based on user-defined business rules.