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    Product · Thales SafeNet

    CipherTrust Tokenization

    Replaces sensitive data with non-sensitive tokens to enable compliance and data security while preserving business processes without requiring code changes.

    Start with a briefWebsite

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    Enterprise security and compliance teams needing to desensitize structured high-risk data (like credit card numbers and PII) across complex hybrid environments without breaking downstream application schemas.

    Best for
    • PCI-DSS compliance scope reduction
    • Preserving database formats with vaultless tokenization
    • Centralized data masking across hybrid enterprise environments
    May not be ideal if
    • Early-stage startups or small businesses with limited cryptographic infrastructure budgets
    • Organizations looking exclusively for simple native cloud key management (e.g., AWS KMS or Azure Key Vault)
    • Environments requiring bulk protection of large, unstructured data stores or files
    Next Step
    Considering CipherTrust Tokenization?

    Ask about pricing, alternatives, or if CipherTrust Tokenization is right for you.

    • Personalized fit analysis
    • See relevant alternatives
    • Run an evaluation when you're ready
    Format-preserving encryption for data protection
    RESTful API protection with token vaults
    Static and dynamic data masking capabilities
    Vaulted and vaultless tokenization solutions
    01

    AI and analytics data readiness

    02

    Development and testing data protection

    03

    Payment card data protection

    04

    PCI DSS compliance and scope reduction

    Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.

    Ask Picari about Thales SafeNet CipherTrust Tokenization

    For Thales SafeNet CipherTrust Tokenization integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.

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    Profile last updated on 3 October 2026 by Picari.