Data Masking Tools

Integrate and mask
in flight

Entity data model ensures integrity

Static and dynamic masking

Protect operational, analytics and test data

Structured and unstructured data

Extensive, extendible masking tools

K2View gets top scores in
Gartner voice of the customer report

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“High-end security for your sensitive information”

“Innovative, fast and also scalable”

“Excellent dynamic and static data masking”

Download Gartner 2021 Data Masking Report

Our unique approach

K2View Data Masking is based on our Data Fabric, which organizes fragmented data from disparate systems according to Digital Entity™ data schemas – customer, order, device, or anything else that’s important to the business.

The digital entity unifies everything a company knows about the business entity – including all interactions, transactions and master data. This individualized data organization simplifies data protection and privacy compliance. It accelerates enterprise scale dynamic data masking for operational use-cases like 360 customer view and persistent data masking for test data management and enterprise data pipelines .

In-flight data masking tools

K2View in-flight Data Masking eliminates the need for slow, cumbersome and risk-prone staging areas, where unmasked data is exposed to potential breaches. Using our graphical data orchestration tool, data from multiple production systems is integrated, cleansed, and masked on the fly.

The entity-based data model cuts the complexity ensuring that individual customer data from different sources is:

Consistent, across multiple sources
Persistent, over time and multiple extractions
Referential integrity, inherently preserved

Dynamic data masking

K2View dynamic data masking transforms, obscures, or blocks access to sensitive information fields based on user roles and testing environment privileges. Using data orchestration, a wide variety of in-line masking functions can be invoked to protect the data.

Manage and mask unstructured data

Protect unstructured data including images, PDFs, XML, CSV, text files, and more, with static and dynamic masking capabilities. Replace sensitive photos with fake alternative ones, use OCR to detect content and enable intelligent masking, synthetically generate digital versions of receipts, checks, contracts and other items for testing purposes. By managing unstructured data within the digital entity data schema, referential integrity is ensured, and consistency maintained, across structured and unstructured data.

Extensive and extendible masking functions

K2View Data Masking has an extensive library of masking functions designed to provide realistic, but fake, data. The chart below provides a number of examples including masking to valid social security numbers (SSN), selecting names from name directories, random number generation, and address-based zip codes. The library can be easily extended by with Java functions that implement additional masking functions.

Field	Masking function
SSN/National ID	Generate valid SSN
Credit card	Generate valid number based on card type
First name/Last name/Zip code	Select from collection
DOB	Shuffle (preserve statistical diversity)
Any String/number	Random String/number
Email	Concatenation based on new first and last names
Const	Static masking based on a pre provided value
Address	Based on the provided Zip

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