What Problems Does It Solve?
- Data Privacy & Compliance
- ✅ Meets GDPR data minimization requirements
- ✅ Protects sensitive data while maintaining format
- ✅ Ensures regulatory compliance without sacrificing functionality
- ✅ Reduces scope of PCI DSS compliance
- Enterprise Scalability
- ✅ Handles millions of records through data partitioning
- ✅ Provides high-performance tokenization operations
- ✅ Supports multiple data formats and types
- ✅ Enables efficient data processing at scale
- Format Compatibility
- ✅ Preserves data format for legacy system compatibility
- ✅ Maintains data validation rules (e.g., Luhn algorithm for credit cards)
- ✅ Enables analytics while protecting actual data
- ✅ Supports seamless integration with existing workflows
🔄 Supported Data Types
| Original Record Type | Format Preservation | Generated Token Format |
|---|---|---|
| Credit Card Number | ✅ (with Luhn check) | Format-preserving or UUID token |
| Uint64/Uint32 integer | ✅ | Format-preserving or UUID token |
| Unix timestamp record | ✅ | Format-preserving or UUID token |
| Text string | ❌ | UUID token |
🛠️ Key Features
Databunker Pro has a number of unique features:Automatic Expiration
In Databunker Pro, expiration allows you to set a lifespan for sensitive data tokens, ensuring they automatically expire after a defined period.Unique Record Support
This unique flag is used for data deduplication. It ensures that each record is saved only once, and the same token value is returned for identical records. If the original record has an expiration flag set, its expiration countdown will be reset from the beginning.Dual Token Generation
By default, Databunker Pro generates two tokens: one in UUID format and another in a format-preserving manner.🚀 Getting Started
📈 Benefits
- Compliance: Built-in GDPR data minimization
- Security: Protected sensitive data storage
- Compatibility: Format preservation for legacy systems
- Scalability: Enterprise-grade performance
- Flexibility: Multiple token format support