Protegrity Data Protection Platform
The Data Security Company.
Overview
The Protegrity Data Protection Platform is designed to protect sensitive data wherever it is, at a very granular level. It allows organizations to apply protection (like tokenization or encryption) to specific data elements within databases, applications, and big data environments. This data-centric approach ensures that data remains secure even when it moves across systems or into the cloud, enabling secure analytics, AI, and data sharing.
✨ Key Features
- Fine-grained data protection (tokenization, encryption, masking)
- Centralized policy management
- Stateless key management
- Broad platform support (on-premises, cloud, big data)
- Data discovery and classification
- Transparent to applications and users
🎯 Key Differentiators
- Granular, field-level data protection.
- Strong focus on tokenization as a primary protection method.
- Broad support for modern data platforms like Snowflake and Databricks.
Unique Value: Allows organizations to use and share their most sensitive data with confidence by applying fine-grained, persistent protection that stays with the data.
🎯 Use Cases (4)
✅ Best For
- Tokenizing credit card numbers at the point of entry to desensitize the data for the rest of its lifecycle.
- Encrypting specific columns in a Snowflake data warehouse to allow for secure analysis by different user groups.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations looking for a simple tool to create a one-time masked copy of a database for testing.
🏆 Alternatives
Provides more robust and transparent data-in-use protection compared to traditional masking tools, which are often focused on creating static copies for non-production environments.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Premium tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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