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features
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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

Privacy engineering is a growing discipline that overlaps with various fields, including data engineering, information security, software development, and privacy law. The primary objective of this field is to ensure that personal data is managed and handled in a manner that complies with legal standards while also safeguarding the privacy of individuals to the greatest extent possible. While security engineering serves as both a foundational element of privacy engineering and a standalone area of expertise, its main focus is on ensuring the secure management and storage of sensitive data broadly. Organizations that handle sensitive or personal data, or both, must prioritize privacy and security engineering practices. This necessity becomes even more critical for those engaged in their own data engineering or data science activities, as the complexities of data management grow. Ultimately, integrating these principles is vital for building trust and maintaining compliance in today's data-driven landscape.

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 
Microsoft 365 Yes 
Microsoft Azure Yes 
Peromnes Yes 
Salesforce Yes 
Snowflake Yes 
Tableau 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 
Microsoft 365 No 
Microsoft Azure No 
Peromnes No 
Salesforce No 
Snowflake No 
Tableau No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
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 No 
Live Rep (24/7) No 
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 No 
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

Kodex

Website

heykodex.com

Product Features

Data Privacy Management

Access Control No 
CCPA Compliance No 
Consent Management No 
Data Mapping No 
GDPR Compliance No 
Incident Management No 
PIA / DPIA No 
Policy Management No 
Risk Management No 
Sensitive Data Identification No 

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