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Infognito (Brillix)
The data masking rule configuration does not require any attendance of developers and is done on a simple intuitive user interface.
Demo Request

Modern organizations utilize various applications to automate their business processes. Over time huge arrays of information are accumulated in data bases. Such data are of high value for many businesses, sometimes they constitute the main assets. Customer information, payment, financial and other kinds of confidential data are typically most sensitive, and the issues relating to the protection of such data are regulated by legislation, industry standards, organizations’ by-laws and policies.

The data security teams of the majority of companies keep a close eye on the industrial (or production) IT environments where data bases are maintained. However, not all organizations have a clear and complete vision where precisely in their IT landscape (for instance, with an accuracy down to specific DB tables and columns) the confidential information is located and stored. Very often such data are migrated from secure industrial (production) environment to non-industrial design, test, and support environments which significantly increase the risk of leakage.

The solution ensures sensitive data classification and scrambling in IBM DB2, Oracle, MS SQL, MySQL, PostgreSQL, Redis, Azure SQL DB, Teradata, MongoDB. 2021 is going to see more supported platforms (4+ new platforms in the near future releases), including SAP HANA.
INFOGNITO PLATFORM
 
Infognito offers an end-to-end sensitive data control and protection solution, that is designed to enable the following functions in an automated mode:
• classification and detection of sensitive data locations within production environments (Data Discovery),
• anonymization (masking) of confidential data in non-production environments (Data Masking),
• creation of a truncated (reduced) copy of the database.
DATA DISCOVERY
 
The Data Discovery module allows you to create and keep updated a unified classifier of sensitive data types and a visualization “map” of all data locations within the organization as a whole. This process is required not only in order to pass different regulatory and certification audits, but to reduce the labor intensity and speed up the decision making process as far as the access to sensitive data is concerned.
DATA MASKING
 
The Data Masking module is designed to set up flexible rules of sensitive information scrambling with the lowest labor costs and to enable transforming such information into realistic, integral and consistent test data that can be used for any kind of the original application testing. The data masking rule configuration does not require any attendance of developers and is done on a simple intuitive user interface. The solution, among other things, allows the user to mask information maintaining the data base consistency on different platforms, authorizing the creation and updating of complex environments for the purposes of testing end-to-end business processes (for example, CRM system, credit conveyor, remote banking services (RBS) and core banking system (CBS).

Advantages

 
Fast Deployment of Business Processes
The system can be deployed within a few hours, the project can be implemented within a few days
 
Comprehensive Approach
Single solution for both data classification and scrambling
 
Simple and Logical Interface
No developers’ assistance or long training is required
 
 
High Productivity
The solution allows for efficient utilization of data bases of any size, including DBs of dozens of terabytes
 
Multiplatform Support
The solution supports the majority of contemporary SQL-based engines, NoSQL and Big Data platform, the list is constantly expanding
 
“Out of the Box” Rules
The rules are delivered together with the system and designed to implement most popular data masking methods
 
 
Flexible Configuration
The solution enables implementation of virtually any classification and masking rules and configuration of customer’s own algorithms.
 
Minimal Requirements to HW
No expensive HW is needed to deploy the solution
More

Cases

Automated Confidential Data Anonymization in Non-Industrial Environments for a Bank

A big Israeli bank ($5-10 billion capitalization) needed a mechanism of contentious confidential data classification and search for storage locations in data bases as well as further data anonymization. Based on the results of pilot tests the bank chose Infognito. The solution enabled confidential data masking in the DB prior to their transmission to the testing and development environments, data anonymization in the development environment during migration from local CRM to the SalesForce cloud CRM, masking of customer’s data in the BD before data transmission to a third party for customer behavior analysis, consistent DB masking on an open platform (DB2 LUW) and DB on mainframe (DB2 Z/OS). The process of replication, masking of over 200 different DBs and their transmission to non-industrial environments. Having drawn up a list of 20 types of confidential data the bank obtained a complete picture of storage locations of the data.

Infognito for managing credit card operator

A non-bank financial company that issues and services credit cards (capitalization - more than $ 3 billion), has the task of identifying all places where card data is stored in 5 main databases. An automated solution was required to independently monitor the results of manual audits. The company planned to conduct an audit for 500 auxiliary databases, estimating the labor intensity of this project at 2,000 man-hours, the duration - 1 calendar year. Scanning 5 main databases using Infognito took only 15 hours, 2000 columns containing card data were classified. At the second stage of the project, 500 auxiliary databases were scanned in 90 hours, according to the results of the scan, more than 5000 columns were classified that store card data that were not previously known.

Demo Request

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