OpenText Voltage
OpenText Voltage: Data Security platform. Data encryption, tokenization, data discovery, data masking. Sensitive data protection throughout its lifecycle.

Key Features
- SecureData - data encryption and tokenization
- Data Discovery - finding sensitive data
- SmartCipher - file and folder encryption
- Data Privacy - masking, pseudonymization
- Structured Data Manager - archiving and retention
Table of Contents
What is OpenText Voltage?
OpenText Voltage (formerly Micro Focus Voltage) is a Data Security platform - solutions for protecting sensitive data: encryption, tokenization, discovery, masking. Protects data at rest, in transit, and in use.
Main components:
- SecureData - encryption and tokenization
- Data Discovery & Classification - finding PII/sensitive data
- SmartCipher - file encryption
- Structured Data Manager - database archiving
What problem does it solve?
flowchart LR
subgraph Without Data Security
A[PII data in clear text] --> B[Breach]
B --> C[GDPR fine 4% revenue]
C --> D[Reputation loss]
end
subgraph With Voltage
E[Encrypted data] --> F[Breach]
F --> G[Data useless]
G --> H[No fine]
end
style A fill:#dc2626,stroke:#b91c1c,color:#fff
style B fill:#dc2626,stroke:#b91c1c,color:#fff
style C fill:#dc2626,stroke:#b91c1c,color:#fff
style D fill:#dc2626,stroke:#b91c1c,color:#fff
style E fill:#22c55e,stroke:#16a34a,color:#fff
style F fill:#f59e0b,stroke:#d97706,color:#fff
style G fill:#22c55e,stroke:#16a34a,color:#fff
style H fill:#22c55e,stroke:#16a34a,color:#fff
Common problems:
- Sensitive data (PII, PCI) in databases without encryption
- Unknown where sensitive data is in the organization
- GDPR/PCI DSS requires data protection
- DevOps needs test data without PII
- Legacy apps don’t support native encryption
How does Voltage work?
flowchart TD
A[Sensitive data] --> B{Voltage SecureData}
B --> C[Tokenization]
B --> D[FPE Encryption]
B --> E[Masking]
C --> F[Token: XXXX-1234]
D --> G[Encrypted: same format]
E --> H[Masked: ****-****-****-1234]
F --> I[Secure storage]
G --> I
H --> J[Dev/Test environments]
style A fill:#dc2626,stroke:#b91c1c,color:#fff
style B fill:#f59e0b,stroke:#d97706,color:#fff
style C fill:#22c55e,stroke:#16a34a,color:#fff
style D fill:#22c55e,stroke:#16a34a,color:#fff
style E fill:#22c55e,stroke:#16a34a,color:#fff
Voltage Components
SecureData Enterprise
Tokenization and encryption
- Format-Preserving Encryption
- Tokenization
- Data masking
- Key management
Data Discovery
Finding data
- PII/PCI scanning
- Structured & unstructured
- Classification
- Risk scoring
SmartCipher
File encryption
- Transparent encryption
- File shares, cloud
- Policy-based
- Key recovery
Structured Data Manager
Database archiving
- Data retirement
- Legal hold
- Compliance archiving
- Database optimization
SecureMail
Email encryption
- End-to-end encryption
- Policy-based
- No PKI required
- Mobile support
Payments
PCI tokenization
- Card tokenization
- Point-to-point encryption
- PCI DSS scope reduction
- Payment gateway integration
Format-Preserving Encryption (FPE)
Unique Voltage technology - encryption preserving data format:
| Original | Standard AES | Voltage FPE |
|---|---|---|
| 4111-1111-1111-1111 | xK9#mL2$pQr… | 7823-9012-3456-7890 |
| 123-45-6789 (SSN) | Base64 blob | 987-65-4321 |
| john.smith@company.com | Encrypted blob | abc.defghij@klmno.pq |
FPE benefits:
- Applications don’t require changes (same format)
- Databases maintain structure
- Reports work without modifications
- Legacy apps protected
flowchart LR
A[App: Card 4111...] --> B[Voltage FPE]
B --> C[Encrypted: 7823...]
C --> D[Database]
D --> E[App reads 7823...]
E --> B
B --> F[Decrypted: 4111...]
style A fill:#6366f1,stroke:#4f46e5,color:#fff
style B fill:#f59e0b,stroke:#d97706,color:#fff
style C fill:#22c55e,stroke:#16a34a,color:#fff
style F fill:#22c55e,stroke:#16a34a,color:#fff
Data Discovery Use Case
Finding sensitive data in the organization:
flowchart TD
A[Data Discovery] --> B[Scan databases]
A --> C[Scan file shares]
A --> D[Scan cloud storage]
B --> E[Found PII]
C --> E
D --> E
E --> F[Classification]
F --> G{Sensitivity?}
G -->|High| H[Enforce encryption]
G -->|Medium| I[Alert + review]
G -->|Low| J[Tag + monitor]
style A fill:#6366f1,stroke:#4f46e5,color:#fff
style E fill:#f59e0b,stroke:#d97706,color:#fff
style F fill:#8b5cf6,stroke:#7c3aed,color:#fff
style H fill:#dc2626,stroke:#b91c1c,color:#fff
Detected data types:
- PII: names, addresses, SSN, email
- PCI: card numbers, CVV, expiry
- PHI: medical data (HIPAA)
- Credentials: passwords, API keys
- Custom patterns: any regex
Who is it for?
Voltage MAKES sense when:
- • You process personal data (GDPR, RODO)
- • Payment cards - PCI DSS compliance
- • Legacy apps that don't support encryption
- • DevOps needs realistic test data
- • You don't know where your sensitive data is
Voltage DOESN'T make sense when:
- • Only file encryption - BitLocker may suffice
- • Cloud-native apps with built-in encryption
- • Small scale without compliance requirements
Voltage vs competition
| Aspect | Voltage | Thales | IBM Guardium | Protegrity |
|---|---|---|---|---|
| FPE | Yes (inventor) | Yes | Yes | Yes |
| Tokenization | Yes | Yes | Yes | Yes |
| Data Discovery | Yes | Limited | Yes | Limited |
| File Encryption | SmartCipher | CipherTrust | No | No |
| Email Encryption | SecureMail | No | No | No |
| PCI Focus | Voltage Payments | Yes | Yes | Yes |
Voltage advantage:
- Inventor of Format-Preserving Encryption
- Comprehensive portfolio (FPE + Discovery + Files + Email)
- Voltage Payments for PCI
- Integration with OpenText security stack
Specifications
| Parameter | Value |
|---|---|
| Deployment | On-premises, SaaS, Hybrid |
| Encryption | AES-256, FPE (FF1, FF3-1) |
| Key Management | Built-in, HSM integration |
| Databases | Oracle, SQL Server, DB2, PostgreSQL, MySQL |
| Cloud | AWS, Azure, GCP |
| Compliance | PCI DSS, GDPR, HIPAA, SOX |
FAQ
What is tokenization? Replacing sensitive data with a token (random identifier). Original in secure vault. Token useless without vault.
FPE vs tokenization - which to choose? FPE when you need to preserve format and reversibility. Tokenization when you want to completely separate data from its representation.
Do applications need changes? Not for FPE - format preserved. For tokenization, integration with vault may be needed.
How long does data discovery take? Depends on data volume. Petabytes = days. Can scan incrementally.
What about performance? FPE adds ~1-5% overhead. Voltage offers hardware acceleration.
Does nFlo implement Voltage? Yes. SecureData, Data Discovery deployments, database integrations, PCI tokenization.
Inquire about OpenText Voltage
Contact your product specialist and get a custom quote.

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