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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 Azure Information Protection?

Protect your email, documents, and sensitive information shared outside your organization by implementing advanced security protocols. Azure Information Protection provides a user-friendly system for classification, integrated labeling, and the application of permissions to guarantee consistent data protection, regardless of its destination or the people involved in its sharing. Through tailored policies, you can classify, label, and safeguard information based on its sensitivity level. The process of classification may be fully automated, initiated by users, or guided by system recommendations. By embedding classification and protection features, you maintain continuous security that travels with your data, ensuring its safety no matter where it is stored or how it is shared. Furthermore, you have the capability to track the activities related to shared data and can revoke access if necessary. Your IT team is equipped with comprehensive logging and reporting tools, enabling them to monitor, assess, and make strategic decisions regarding data management. You can collaborate securely with colleagues, clients, and partners while clearly defining access rights and allowable actions for users. This holistic strategy guarantees that your data sharing practices, whether internal or external, remain secure and compliant, fostering a protected environment for all information exchanges. As a result, your organization can confidently engage in transactions without compromising on security.

Media

Media

Integrations Supported

Microsoft Azure
Amazon Web Services (AWS)
Datacard Secura
Kylo

Integrations Supported

Microsoft Azure
Azure API Apps
Azure API Management
Azure App Service
Azure Automation
Azure Costs
Azure CycleCloud
Azure DDoS
Azure Functions
Azurepath
BigID
Microsoft 365
Microsoft Entra ID
Microsoft Exchange
Microsoft OneDrive
Proofpoint Adaptive Email Security
Secuvy AI

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

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
Online Training
On-Site Training

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/information-protection/

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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