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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.

What is Doculayer?

Forget the tedious tasks of manual content classification and data entry, as Doculayer.ai offers a customizable workflow that encompasses a range of document processing services, including OCR, document type and topic classification, along with data extraction and masking. With its user-friendly interface, Doculayer.ai empowers business users to efficiently label documents and data, enhancing their learning and training processes. The platform employs a hybrid data extraction method, integrating machine learning models with established patterns, rules, and library scripts to achieve superior outcomes in a shorter time frame. Additionally, data masking is available to help anonymize or pseudonymize sensitive information within documents. By incorporating Doculayer.ai into your Content Services Platform and Business Process Management systems, you can significantly enhance document intelligence. Furthermore, this innovative solution enables your existing IT infrastructure to be supplemented with advanced technologies such as machine learning, natural language processing, and computer vision, all aimed at streamlining document processing. Ultimately, adopting Doculayer.ai can transform the way organizations manage their documents and data workflows.

Media

Media

Integrations Supported

AWS IoT SiteWise
Accenture Cloud Trade Promotion Management
Amazon Web Services (AWS)
AssetMetrics
CalendarAnything
Cognizant
Databricks
Decimal
Eviden MDR Service
Google Cloud Platform
HCL Accelerate
Hadoop
Microsoft 365
Microsoft Azure
Peromnes
Salesforce
Snowflake
Tableau

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

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

Company Facts

Organization Name

Doculayer

Date Founded

2007

Company Location

Netherlands

Company Website

www.doculayer.com/doculayer-platform

Categories and Features

Data Masking

Not specified

Categories and Features

Data Anonymization

Not specified

Data Extraction

Not specified

Data Masking

Not specified

OCR

Not specified

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