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What is Oracle Data Masking and Subsetting?

In response to escalating security threats and the implementation of strict privacy regulations, a more vigilant strategy for managing sensitive information has become essential. Oracle Data Masking and Subsetting provides database professionals with a robust solution that not only fortifies security but also simplifies compliance measures and reduces IT costs by sanitizing copies of production data for various applications, including testing and development, while also enabling the elimination of unnecessary data. This innovative tool facilitates the extraction, obfuscation, and sharing of comprehensive and selective data sets with partners, regardless of whether they are internal or external to the organization, thereby maintaining the integrity of the database and ensuring that applications function smoothly. Furthermore, Application Data Modeling plays a crucial role by automatically detecting columns in Oracle Database tables that hold sensitive information using predefined discovery patterns, such as national IDs and credit card numbers, which are critical for protecting personal information. In addition, it is capable of identifying and mapping parent-child relationships structured within the database, significantly improving the efficacy of data management practices. Overall, these features enhance the organization’s ability to safeguard sensitive data while facilitating better data governance.

What is DB CyberTech?

Centralized databases containing structured data, particularly sensitive personal information, are lucrative targets for cybercriminals. The repercussions of a successful hack can be severe, as seen in various incidents where attackers remained undetected for long stretches before extracting critical data. To prevent real-time data breaches, organizations should prioritize the proactive identification of potential threats and establish immediate alert systems to mitigate data loss before it happens. Additionally, maintaining awareness of possible insider threats is crucial for protecting data integrity. By refining current policy frameworks for unstructured data, organizations can enact continuous monitoring that specifically addresses the needs of structured data systems. This all-encompassing approach not only enhances security measures but also cultivates a proactive culture focused on recognizing and responding to new threats. Consequently, organizations that adopt these strategies can significantly reduce their vulnerability to data breaches.

Media

Media

Integrations Supported

Gigamon
IBM Db2
IBM Informix
MySQL
Oracle Database
Oracle E-Business Suite
SQL Server
Trellix Data Loss Prevention

Integrations Supported

Gigamon
IBM Db2
IBM Informix
MySQL
Oracle Database
Oracle E-Business Suite
SQL Server
Trellix Data Loss Prevention

API Availability

Has API

API Availability

Has API

Pricing Information

$230 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/database/technologies/security/data-masking-subsetting.html

Company Facts

Organization Name

DB CyberTech

Date Founded

2012

Company Location

United States

Company Website

dbcybertech.com/products/security

Categories and Features

Categories and Features

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