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What is Mage Dynamic Data Masking?

The Mageâ„¢ Dynamic Data Masking module, a key component of the Mage data security platform, has been meticulously designed with the end user's needs in mind. In partnership with clients, this module effectively meets their distinct challenges and requirements. As a result, it has evolved to support nearly all conceivable scenarios that businesses may face. Unlike many rival products that typically originate from acquisitions or target specific niches, Mageâ„¢ Dynamic Data Masking is tailored to deliver thorough safeguarding of sensitive information accessed by application and database users in live environments. This solution also seamlessly integrates into a company's current IT framework, negating the necessity for significant architectural changes, which facilitates a more effortless implementation for organizations. Furthermore, this thoughtful design underscores a dedication to bolstering data security while enhancing user experience and operational effectiveness, positioning it as a reliable choice for enterprises seeking robust data protection. Ultimately, the Mageâ„¢ Dynamic Data Masking module stands out for its ability to adapt to the evolving landscape of data security needs.

What is Informatica Persistent Data Masking?

Ensure the core message, format, and precision remain intact while prioritizing confidentiality. Enhance data security by transforming and concealing sensitive details through the implementation of pseudonymization techniques that comply with privacy regulations and facilitate analytical needs. The transformed data retains its contextual relevance and referential integrity, rendering it appropriate for use in testing, analytics, or support applications. As a highly scalable and efficient data masking solution, Informatica Persistent Data Masking safeguards sensitive information such as credit card numbers, addresses, and phone contacts from unintended disclosure by producing realistic, anonymized datasets that can be securely shared both internally and externally. Moreover, this approach significantly reduces the risk of data breaches in nonproduction environments, improves the quality of test datasets, expedites development workflows, and ensures adherence to various data privacy standards and regulations. By incorporating such comprehensive data masking strategies, organizations not only secure sensitive information but also cultivate an environment of trust and security, which is essential for maintaining stakeholder confidence. Ultimately, the adoption of these advanced techniques plays a crucial role in promoting an organization's overall data governance framework.

Media

Media

Integrations Supported

Google Cloud Platform
Hadoop
Microsoft 365
Accenture Cloud Trade Promotion Management
Amazon SES
Amazon Web Services (AWS)
AssetMetrics
Calyx
Cognizant
Databricks Data Intelligence Platform
Genpact Cora
HCL Accelerate
Impala
Microsoft Azure
Oracle Cloud Infrastructure
Peromnes
PostgreSQL
Softland HCM
Teradata VantageCloud
Windocks

Integrations Supported

Google Cloud Platform
Hadoop
Microsoft 365
Accenture Cloud Trade Promotion Management
Amazon SES
Amazon Web Services (AWS)
AssetMetrics
Calyx
Cognizant
Databricks Data Intelligence Platform
Genpact Cora
HCL Accelerate
Impala
Microsoft Azure
Oracle Cloud Infrastructure
Peromnes
PostgreSQL
Softland HCM
Teradata VantageCloud
Windocks

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Mage Data

Date Founded

2014

Company Location

United States

Company Website

magedata.ai/dynamic-data-masking/

Company Facts

Organization Name

Informatica

Date Founded

1993

Company Location

United States

Company Website

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

Categories and Features

Categories and Features

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