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features
design
support

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Description

Maintain the essence, structure, and accuracy while ensuring confidentiality. Improve data security by anonymizing and altering sensitive information, as well as implementing pseudonymization strategies for adherence to privacy regulations and analytics purposes. The obscured data continues to hold its context and referential integrity, making it suitable for use in testing, analytics, or support scenarios. Serving as an exceptionally scalable and high-performing data masking solution, Informatica Persistent Data Masking protects sensitive information—like credit card details, addresses, and phone numbers—from accidental exposure by generating realistic, anonymized data that can be safely shared both internally and externally. Additionally, this solution minimizes the chances of data breaches in nonproduction settings, enhances the quality of test data, accelerates development processes, and guarantees compliance with various data-privacy laws and guidelines. Ultimately, adopting such robust data masking techniques not only protects sensitive information but also fosters trust and security within organizations.

Description

The increasing risks to security and the rise of stringent privacy laws have necessitated a more cautious approach to handling sensitive information. Oracle Data Masking and Subsetting offers database users a solution to enhance security, streamline compliance efforts, and lower IT expenses by sanitizing production data copies for use in testing, development, and various other functions, while also allowing for the removal of superfluous data. This tool allows for the extraction, obfuscation, and sharing of both full copies and subsets of application data with partners, whether they are within or outside the organization. By doing so, it ensures the database's integrity remains intact, thus supporting the ongoing functionality of applications. Additionally, Application Data Modeling automatically identifies columns within Oracle Database tables that contain sensitive data through established discovery patterns, including national IDs, credit card details, and other forms of personally identifiable information. Furthermore, it can recognize and map parent-child relationships that are defined within the database structure, enhancing the overall data management process.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS IoT SiteWise
Accenture Cloud Trade Promotion Management
Amazon Web Services (AWS)
AssetMetrics
CalendarAnything
Cognizant
Databricks Data Intelligence Platform
Decimal
Eviden MDR Service
Google Cloud Platform
Hadoop
IBM Informix
Microsoft 365
Microsoft Azure
MySQL
Oracle E-Business Suite
Peromnes
Salesforce
Snowflake
Tableau

Integrations

AWS IoT SiteWise
Accenture Cloud Trade Promotion Management
Amazon Web Services (AWS)
AssetMetrics
CalendarAnything
Cognizant
Databricks Data Intelligence Platform
Decimal
Eviden MDR Service
Google Cloud Platform
Hadoop
IBM Informix
Microsoft 365
Microsoft Azure
MySQL
Oracle E-Business Suite
Peromnes
Salesforce
Snowflake
Tableau

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$230 one-time payment
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Informatica

Founded

1993

Country

United States

Website

www.informatica.com/products/data-security/data-masking/persistent-data-masking.html

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

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

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