In a world filled with security threats, boosting customer confidence must be among your top priorities. TCS Data Privacy tools, such as Masketeer, a static data-masking tool, ensure that your customers’ data privacy needs are optimally met.
Very often in cases of outsourced or off-shored software development, development and test environments are rarely as secure as production. Since there is no reason developers should have access to sensitive data, data masking is an effective way of reducing enterprise risk.
Masketeer™ masks data using sophisticated masking techniques that ensure high data utility hand-in hand with data security. This tool actually facilitates data transition from secure to un-secure environments, by meaningfully anonymizing sensitive data.
Files for release are first run through the tool, masked using out-of-box as well as custom-masking techniques, and the resulting masked data is stored in flat files that may later be entered into a chosen target. Masketeer, developed by TCS Innovation Labs – TRDDC, has been one of our flagship products and has been widely used by customers across domains.
Masketeer is a winner of the Golden Peacock Innovative Product / Service Award - 2010.
Key Features
Masking Techniques
- Mathematically-proven techniques ensure good data privacy while maintaining high data utility.
- An extensible framework enables users to plug in their own masking techniques.
- The current in-built techniques include perturbation, randomization, shuffling, user-defined replacement, position-masking, image masking, gibberish and composite string masking.
- China-specific techniques, such as NIN masking, extend usage across geographies.
Data Integrity
- Referential integrity constraints such as primary or foreign key and unique constraints defined at database level are automatically detected by Masketeer and are satisfied while masking the data.
- Additional constraints can be explicitly specified through the Masketeer editor.
- Data integrity across schemas and databases (homogenous as well as heterogenous) can be supported by an enterprise-wide masking feature.
Sampling / Sub-setting
- A small data sub-set for masking can be created from a big data set.
Statistical Data Validation
- Statistical tests are included for assessing the quality of masking.
- Supports user-defined tests
Visual Validation
- Provides viewers with an option to check the original and the masked data
Platforms
- Masketeer supports different databases such as DB2, MS Access, Oracle, MS SQL Server, Sybase, Informix, VSAM, IMS and flat-file formats.
- An extensible framework allows users to plug-in new platforms available on Mainframe, Windows, Linux, Unix, Mac OS, AIX, etc.
Operational Modes
- Client-server
- Stand-alone
- Batch Process
Masketeer brings value to your business and boosts your customer confidence by enabling the following:
- Compliance with data privacy regulations
- Reduction of enterpise risk through data security
- High-utility data that can help create better applications, especially in software development / testing
- Software user training
- Data publication for mass consumption / analysis
You also benefit substantially by using Masketeer rather than any other product as it has the following features:
- Comparable to commercial tools in terms of pure-play masking
- Attractively priced
- Easy to learn and deploy