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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS IoT SiteWise Yes 
Accenture Cloud Trade Promotion Management Yes 
Amazon Web Services (AWS) Yes 
AssetMetrics Yes 
CalendarAnything Yes 
Cognizant Yes 
Databricks Yes 
Decimal Yes 
Eviden MDR Service Yes 
Google Cloud Platform Yes 
HCL Accelerate Yes 
Hadoop Yes 
IBM Informix No 
Microsoft 365 Yes 
MySQL No 
Oracle E-Business Suite No 
Peromnes Yes 
Salesforce Yes 
Snowflake Yes 

Integrations

AWS IoT SiteWise No 
Accenture Cloud Trade Promotion Management No 
Amazon Web Services (AWS) No 
AssetMetrics No 
CalendarAnything No 
Cognizant No 
Databricks No 
Decimal No 
Eviden MDR Service No 
Google Cloud Platform No 
HCL Accelerate No 
Hadoop No 
IBM Informix Yes 
Microsoft 365 No 
MySQL Yes 
Oracle E-Business Suite Yes 
Peromnes No 
Salesforce No 
Snowflake No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$230 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

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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