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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 DB CyberTech?

Centralized databases containing structured data, particularly sensitive personal information, are lucrative targets for cybercriminals. The repercussions of a successful hack can be severe, as seen in various incidents where attackers remained undetected for long stretches before extracting critical data. To prevent real-time data breaches, organizations should prioritize the proactive identification of potential threats and establish immediate alert systems to mitigate data loss before it happens. Additionally, maintaining awareness of possible insider threats is crucial for protecting data integrity. By refining current policy frameworks for unstructured data, organizations can enact continuous monitoring that specifically addresses the needs of structured data systems. This all-encompassing approach not only enhances security measures but also cultivates a proactive culture focused on recognizing and responding to new threats. Consequently, organizations that adopt these strategies can significantly reduce their vulnerability to data breaches.

Media

Media

Integrations Supported

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

Integrations Supported

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

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

DB CyberTech

Date Founded

2012

Company Location

United States

Company Website

dbcybertech.com/products/security

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

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