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What is OpenText Data Privacy & Protection Foundation?

OpenText Data Privacy & Protection Foundation is a comprehensive platform designed to protect sensitive data at scale with quantum-ready, standards-based cryptography. It helps organizations future-proof their security posture by using Format-Preserving Encryption (FF1), tokenization, and advanced privacy technologies that allow analytics and cloud migrations to continue without interruption. The solution secures data throughout its entire lifecycle, ensuring protection whether the information is stored, transmitted, or actively used in applications. Because the platform is stateless and high-performance, it supports large volumes and complex architectures common in modern hybrid and multi-cloud environments. Its certifications—including FIPS 140-2, NIST SP 800-38G standardization, and Common Criteria—demonstrate its proven strength and suitability for regulated industries such as financial services, healthcare, and government. OpenText’s deep ecosystem integrations allow data protection to extend into analytics tools, data warehouses, and cloud providers with minimal redesign. Organizations can adopt cloud architectures with confidence, knowing sensitive fields remain protected even in distributed systems. Persistent protection also enables safe machine learning, secure collaboration, and privacy-preserving analytics. Enterprises across 50+ countries rely on OpenText to safeguard billions of data events daily. By reducing exposure, simplifying compliance, and supporting secure innovation, the platform helps businesses maintain agility while staying ahead of emerging security threats.

What is FedEHR?

By redefining the traditional data value chain, we provide solutions that prioritize risk awareness when it comes to de-identifying sensitive data, facilitating its further processing. Whether you opt for on-premises management to maintain total control or choose a secure external service, FedEHR stands as your comprehensive solution that adheres to GDPR and HIPAA standards. As technological advancements progress, the characteristics of our data evolve, with a remarkable increase in IoT devices producing extensive amounts of information, reflecting our deeply interconnected and pervasive society. This evolution brings forth critical questions regarding the concept of our "quantified self." Yet, what are the broader implications and potential hazards associated with data sharing? Who has the right to access this data, and for what ends? What is the actual value of data, and who claims ownership over it? Although this wealth of personal and sensitive information offers remarkable opportunities for individual insight, it also creates substantial challenges for societies aiming to establish effective governance frameworks that can manage this data responsibly. As we confront these intricate challenges, the necessity for transparency and accountability in data management becomes increasingly vital, highlighting the need for ongoing conversations about ethical data practices.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Datacard Secura
Entrust Certificate Hub
Hadoop
Kylo
Microsoft Azure
OpenText Enterprise Security Manager
SAP Cloud Platform
Snowflake
Teradata VantageCloud

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

OpenText

Date Founded

1991

Company Location

Canada

Company Website

www.opentext.com/products/data-privacy-protection-foundation

Company Facts

Organization Name

GNUBILA

Company Location

France

Company Website

gnubila.fr/

Categories and Features

Data Masking

Not specified

Data Security

Not specified

Data Tokenization

Not specified

Database Security

Not specified

Categories and Features

Data Security

Not specified

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