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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 Infosys Enterprise Data Privacy Suite?

With the exponential growth in both the value and volume of data, the importance of data protection has shifted to a vital focus for business leaders, emerging as a potential competitive edge instead of merely a compliance requirement. Without an effective and strong data management framework in place, organizations encounter persistent challenges regarding data security, which can threaten their reputation at any time. Companies are increasingly feeling the pressure from regulators and market demands to improve their practices surrounding the collection, use, storage, and disposal of personal information (PI). Additionally, as new technologies like the Internet of Things (IoT) and Big Data generate enormous amounts of information and insights, the need for effective data protection will become even more pronounced. To tackle these pressing issues, the Infosys Enterprise Data Privacy Suite (iEDPS) provides organizations with tools to protect their sensitive data while ensuring adherence to various global regulatory standards, such as HIPAA, PIPEDA, GLBA, and ITAR. Businesses must adapt their data strategies to navigate the evolving landscape of data privacy, as doing so is essential to maintaining competitiveness and fostering trust with both consumers and regulatory entities. In this climate of heightened awareness and scrutiny, adopting a proactive approach to data protection is not just advisable; it is imperative for long-term success.

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

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

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

OpenText

Date Founded

1991

Company Location

Canada

Company Website

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

Company Facts

Organization Name

Infosys

Date Founded

1981

Company Location

India

Company Website

www.infosys.com/services/incubating-emerging-technologies/offerings/enterprise-data-privacy-suite.html

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

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

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

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

HIPAA Compliance

Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management

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