KuppingerCole names OpenText a Leader in data securityGet the report
Quantum computing is moving fast, putting pressure on outdated encryption. To meet evolving regulatory demands and avoid future exposure, organizations need high-performance, quantum-ready security that keeps data protected without slowing operations.
OpenText™ Data Privacy & Protection Foundation (DPP) (Voltage) helps you reduce risk, enable compliance, and secure data at scale. With quantum-ready, format-preserving protection, stateless key management, and deep integrations across cloud and hybrid IT, you can protect sensitive data without breaking workflows or analytics.
Protect sensitive data at scale across hybrid IT and analytics environments without disrupting operations. Simplify compliance, minimize breach risk, and secure information consistently from ingestion through analytics.
We are fully compliant with the latest financial services regulations and thanks to OpenText we achieved this in a minimally invasive manner, without having to change our existing infrastructure. We protect our sensitive data very cost-effectively in a complex and distributed environment.
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Enable privacy, compliance, and secure data analytics at scale. Protect sensitive information across hybrid IT environments with format-preserving protection and dynamic key management.
Enable enterprise-wide compliance with global privacy laws including GDPR, HIPAA, and PCI DSS. Protect personal data in databases, analytics platforms, and SaaS apps using centralized policy controls and leading privacy-enhancing technologies.
Read the customer storyMitigate cloud risks while enabling innovation. With persistent protection and platform-agnostic encryption, you can move sensitive workloads to Snowflake®, Google BigQuery™, and SaaS platforms without exposing PII or violating compliance requirements.
Read the blogAnalyze protected data across cloud and applications without decrypting it. Use format-preserving protection to retain referential integrity and enable safe collaboration with partners, auditors, and analysts.
Read the white paperLeverage trusted, standards-based data protection, flexible integration options, and centralized control to protect sensitive data across your enterprise without disrupting applications or performance.
Protects sensitive data with NIST-approved AES FF1 encryption and high-performance tokenization. Maintains usability and compliance with innovative field-level, deterministic protection.
Learn moreDerives encryption keys dynamically on demand with no need for storage, replication, or backup. Simplifies operations while ensuring high performance and resiliency.
Learn moreSupports diverse environments without disrupting existing systems including Microsoft® Windows®, Linux®, IBM® z/OS®, Apache® Hadoop®, Vertica™, Teradata®, Snowflake®, and more.
Manages access and enforces security policies in real time using integrations with Active Directory, OpenID, and certified HSMs for root-of-trust key generation.
Connects with enterprise systems using REST APIs, native SDKs (Java, C#, .NET), and native database functions for structured and unstructured data.
Protects sensitive data in transit with OpenText™ Data Privacy & Protection Sentry, enabling interception for SaaS, COTS, and proprietary apps without code changes.
Learn moreOpenText Data Privacy & Protection Foundation
For teams needing to safeguard payments data at all points.
PCI DSS compliance |
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Format-Preserving Encryption and Tokenization |
Identity-Based Encryption (IBE) |
For teams needing simple standards-based protection for z/OS mainframe data.
OpenText Data Privacy & Protection z Protect |
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Public cloud |
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Off cloud |
This cloud-agnostic solution integrates with leading platforms, making it easy to extend protection without sacrificing performance and increasing data breach risks. Secure data in motion, at rest, and during analytics across the cloud and data ecosystem.
OpenText data protection technologies meet the highest global standards. Explore our certifications and validations—including FIPS 140-2, Common Criteria (ISO 15408), and NIST SP 800-38G—that help support privacy compliance and build customer trust.
OpenText encryption modules are FIPS 140-2 certified, meeting United States government standards for cryptographic security. Certification #2686 confirms compliance for use in regulated environments requiring strong data protection
OpenText is the original innovator behind Format-Preserving Encryption (FF1), standardized by NIST in SP 800-38G. This validation ensures the OpenText implementation meets the highest cryptographic guidelines for protecting structured data
Certified under ISO/IEC 15408 (Common Criteria), the solution meets internationally recognized security standards for IT products. This certification supports procurement in highly regulated sectors, including government and finance
OpenText offers a flexible deployment option for OpenText Data Privacy & Protection Foundation.
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In many cases, there is no impact. Applications often work with protected values without needing cleartext. When cleartext is needed, our cryptographic code is highly optimized for millions of operations per second.
Yes. Our format-preserving encryption ensures consistent results. Referential integrity is maintained across applications and environments without requiring frequent reprotection or re-encryption operations.
Format-preserving encryption supports translation between ASCII and EBCDIC. Data protected in ASCII can be converted to EBCDIC and decrypted correctly, with no impact on existing workflows between mainframes and distributed systems.
Yes. OpenText DPP uses 256-bit AES encryption, which maintains 128 bits of security even under optimal quantum attacks. It is the only symmetric encryption listed as quantum-resistant by the US DoD for commercial and government use.
OpenText DPP uses TLS standards for key exchange, allowing automatic adoption of NIST post-quantum algorithms. Customers will gain protection through regular TLS updates, without impacting existing encrypted data or requiring new deployments.
Tokenization replaces sensitive data with a reversible token. Data masking hides data but may allow reidentification. Anonymization permanently removes personal identifiers to prevent any connection to individuals.
Learn how OpenText leads by offering a smarter, data-centric approach to security.
Read the blogLittle Red Riding Hood provides intriguing analogies for cybersecurity and insider threats.
Read the blogExtend end-to-end data protection into Snowflake Horizon with our proven encryption technology.
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