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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 IBM InfoSphere Optim Data Privacy?

IBM InfoSphere® Optim™ Data Privacy provides an extensive range of tools aimed at effectively concealing sensitive data in non-production environments such as development, testing, quality assurance, and training. This all-in-one solution utilizes a variety of transformation techniques to substitute sensitive information with realistic, functional masked versions, thereby preserving the confidentiality of essential data. Among the masking methods employed are the use of substrings, arithmetic calculations, generation of random or sequential numbers, date manipulation, and the concatenation of data elements. Its sophisticated masking capabilities ensure that the formats remain contextually relevant and closely mimic the original data. Users are empowered to implement a wide selection of masking strategies as needed to protect personally identifiable information and sensitive corporate data across applications, databases, and reports. By leveraging these data masking functionalities, organizations can significantly reduce the risk of data exploitation by obscuring, privatizing, and safeguarding personal information shared in non-production settings, thus improving data security and regulatory compliance. Furthermore, this solution not only addresses privacy concerns but also enables businesses to uphold the reliability of their operational workflows. Through these measures, companies can navigate the complexities of data privacy with greater ease.

Media

Media

Integrations Supported

Hadoop
SQL Server
Amazon S3
Amazon SES
Amdocs Customer Experience Suite
Apache HBase
Apache Hive
Cloudera
Genpact Cora
Google Cloud BigQuery
Google Cloud Platform
IBM Cloud
IBM Db2
IBM InfoSphere Optim
Impala
JD Edwards EnterpriseOne
Microsoft SharePoint
SAP HANA
Softland HCM
Spark

Integrations Supported

Hadoop
SQL Server
Amazon S3
Amazon SES
Amdocs Customer Experience Suite
Apache HBase
Apache Hive
Cloudera
Genpact Cora
Google Cloud BigQuery
Google Cloud Platform
IBM Cloud
IBM Db2
IBM InfoSphere Optim
Impala
JD Edwards EnterpriseOne
Microsoft SharePoint
SAP HANA
Softland HCM
Spark

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/il-en/products/infosphere-optim-data-privacy

Categories and Features

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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