TL;DR Short answer: the decision that matters is vaulted versus vaultless. A vault stores the mapping between token and original, which means one more system to secure and a single high-value target. Vaultless derives tokens algorithmically, so there is nothing central to breach, at the cost of less flexibility in how tokens are formatted. Nine tools:
CipherTrust Tokenization Very Good Security Enigma Vault ShieldConex Rixon Skyflow Protegrity Basis Theory Google Cloud Sensitive Data Protection Why tokenize: it narrows compliance scope, limits what a breach exposes, and lets teams work with realistic data they are not authorised to see in the clear.Data tokenization tools swap sensitive values such as card numbers, social security numbers and medical records for meaningless tokens, so a breach exposes nothing usable. Tokenization has become a standard control alongside encryption and access management, and it sits inside a wider set of data privacy tools . The tokenization tools below differ mainly in whether they keep a vault, and how easily they drop into existing systems.
Below: what tokenization is, how it differs from encryption, nine data tokenization tools worth evaluating, and where a data movement layer fits alongside them.
What is data tokenization? Data tokenization is a security technique that replaces sensitive values such as card numbers or personal identifiers with randomly generated substitutes called tokens. Unlike encryption, a token carries no derivable relationship to the original value, so it cannot be reversed by cryptanalysis. It can still be exchanged for the original through the tokenization system itself, which is what makes tokenized data usable rather than merely destroyed.
A token has no mathematical relationship to the value it replaces, so it is worthless if stolen on its own. That is the difference from encryption, where the ciphertext is derived from the plaintext and anyone with the key can reverse it. Tokenization comes in two forms, and the choice matters: vaulted tokenization stores the mapping in a secure database, while vaultless tokenization derives tokens algorithmically so there is no central store to breach.
For example, the tokenization process begins when a payment is initiated and the user enters their credit card details. The token generated is used for the payment, and a secure vault matches it to the user's actual card information to complete the transaction.
Which data tokenization tools should you consider? Nine data tokenization tools, and the thing that separates them: whether they keep a vault, and how easily they drop into systems you already run. Each has strengths that suit a particular security model, so start from your architecture rather than the feature list.
Tool Vaulted or vaultless How you use it Best suited for CipherTrust Tokenization Both Platform, deployed in your environment Regulated estates needing PCI DSS scope reduction Very Good Security Vaulted Proxy in front of your app, minimal code change Teams wanting sensitive data never to touch their systems Enigma Vault Vaulted API Developers wanting tokenization without building a vault ShieldConex Vaultless API and hosted forms Payments and card data capture Rixon Vaultless Cloud service, no-code configuration Avoiding a central token store entirely Skyflow Vaulted Privacy vault with SDKs Isolating PII from the rest of your architecture Protegrity Vaultless Platform across databases, cloud and analytics Enterprise format-preserving protection at scale Basis Theory Vaulted API and SDKs Developer teams handling payments and PII Google Cloud Sensitive Data Protection Vaultless (cryptographic) Managed Google Cloud service Data already in BigQuery and Cloud Storage
#1 CipherTrust Tokenization CipherTrust Tokenization, from Thales, anonymises PII and payment card data and helps you meet requirements such as the Payment Card Industry Data Security Standard (PCI DSS). It offers both vaulted and vaultless tokenization, which makes it one of the most flexible tokenization software options for data centres, cloud and big data platforms.
Key Features of CipherTrust Tokenization Format-Preserving Tokenization: Vaultless tokenization solutions, such as CipherTrust RESTful Data Protection (CRDP) and CipherTrust Vaultless Tokenization (CT-VL), use REST API support to provide format-preserving tokenization. Dynamic and Static Data Masking: CipherTrust offers dynamic (hides data based on user roles) and static masking (permanently redacts parts of data) for granular control over data visibility. Centralized Management: Using CipherTrust Manager, a central platform, you can effortlessly manage tokens and access policies to simplify administration and improve security. This feature also facilitates multi-tenancy through CT-VL.#2 Very Good Security (VGS) Very Good Security (VGS) is a SaaS platform that enables you to interact with protected data without taking on the associated risks or compliance burdens. You can tokenize most data elements, including payments, ID verification images, Protected Health Information (PHI), and PII. VGS acts as a modern security layer and provides a tokenization API to reduce liability and speed up privacy compliance frameworks.
Key Features of VGS Data De-Identification: You have the flexibility to choose when and how to access sensitive data through customizable data redaction and reveal options. Processor-Neutral Vault: VGS functions independently from payment processors, letting you integrate it with multiple payment service providers without vendor lock-in while maintaining control over the data flow. VGS Proxies and Routes: With VGS Proxies, you can handle several data transmission protocols such as FTPS, SMTP, HTTPS, and SFTP. On the other hand, VGS Routes allow you to transform any binary or text-based payload (PDFs, JSON, HTML, XML, and compressed files) into tokens.#3 Enigma Vault Enigma Vault is ISO 27001-certified, PCI Level 1 tokenization software that simplifies field-level tokenization and AES encryption of sensitive data. It reduces the burden of PCI audits by supporting a simpler Self-Assessment Questionnaire (SAQ), and it integrates with payment providers such as Clover, Worldpay and First Data.
Key Features of Enigma Vault Speed and Scalability: The platform utilizes modern technologies and methods to help you perform millions of search operations within milliseconds. Secure Data Storage: Enigma Vault enables secure storage for files of sizes ranging from kilobytes to gigabytes, safeguarding your data against unauthorized access. Multi-Factor Authentication (MFA): You can access developer portals with client credentials only through time-based one-time passwords (TOTP) MFA using apps like Cisco Duo or Google Authenticator.#4 ShieldConex ShieldConex, from Bluefin, is tokenization software for managing sensitive data, including Primary Account Numbers (PANs), PII and PHI. It helps you comply with regulations such as PCI DSS and standardise the payment experience across mobile, in-store, online and other channels.
Key Features of ShieldConex Vaultless Tokenization: ShieldConex enables you to tokenize every data element, including payment and personal information, without needing a data vault while preserving the original format. iFrame Data Entry: The tokenization software provides a secure iFrame (an HTML element used to capture data) for the initial tokenization of sensitive data. This simplifies the process for organizations and allows data masking from the point of input. API Integration: You can perform tokenization, detokenization, health checks, and validation via ShieldConex API for smoother implementation.#5 Rixon Rixon is cloud-native, vaultless tokenization software designed to protect data against breaches and cyberattacks and to address wider data privacy concerns. Its patented keyless ciphering process removes the central token store, so there is less to defend.
Key Features of Rixon AI and ML Monitoring Systems: The data tokenization vendor (Rixon) continually enhances its platform to leverage advancements in fields like AI and quantum processing. You can use its AI and ML monitoring systems to get real-time insights and detect anomalies.Continuous Logging: This feature helps you maintain data integrity by facilitating complete transparency and traceability of data access and actions. Advanced Compliance: the tokenization tool supports SOC 2 Type II, PCI DSS, GDPR and NIST 800-171, reflecting its focus on regulated industries.#6 Skyflow Skyflow is a data privacy vault and tokenization software that isolates sensitive data from the rest of your architecture while still letting you run workflows, logic and analytics on it. With REST and SQL APIs, auditable logs and data residency controls, it keeps PII in a dedicated vault, even within your own virtual private cloud.
Key Features of Skyflow De-Identification and Re-Identification of Sensitive Data: Using Skyflow, you can automatically detect, redact, and re-identify sensitive data during various workflows, including data collection, RAG, LLM model training, and inference. Encrypted Data Analytics: This feature enables you to keep your data confidential without compromising its utility for analytics.LLM Privacy Vault : Skyflow offers an LLM Privacy Vault that lets you implement LLM tokenization . It includes a sensitive data dictionary for you to define terms that should not be fed to LLMs, preventing access to unauthorized information. #7 Protegrity Protegrity is an enterprise data protection platform best known for Protegrity Vaultless Tokenization, which replaces sensitive values with format-preserving tokens without a central vault. It protects data across databases, applications and cloud analytics platforms, with partners including AWS, Azure, Google Cloud and Snowflake. For moving that data into Snowflake, see our guide to Snowflake ETL tools .
Key Features of Protegrity Vaultless Tokenization: format-, length- and type-preserving tokens, generated algorithmically so there is no token vault to breach.Language Coverage: tokenization that preserves alphabets and character sets across languages, including Eastern scripts.Combined Protection Methods: vaultless tokenization alongside dynamic data masking and format-preserving encryption, managed through central policy.#8 Basis Theory Basis Theory is developer-focused tokenization software and a data privacy vault for payments and personal data. Teams collect card and PII data through its elements and SDKs, store it in a PCI-compliant vault, and use tokens in their own systems, which keeps raw data out of their infrastructure and out of large language models.
Key Features of Basis Theory Processor-Agnostic Vault: store card data once and route it to multiple payment processors without lock-in.Developer SDKs and Elements: collect sensitive fields in front-end components so raw data never touches your servers.Compliance Scope Reduction: PCI-compliant vaulting reduces the systems that fall into audit scope.#9 Google Cloud Sensitive Data Protection Google Cloud Sensitive Data Protection, formerly Cloud DLP, discovers, classifies and de-identifies sensitive data across BigQuery, Cloud Storage and other sources. Its de-identification transformations include deterministic and format-preserving encryption with keys held in Cloud Key Management Service, which gives you reversible, token-like values without a separate vault. To catalogue where sensitive data lives first, see our guide to data catalog tools .
Key Features of Google Cloud Sensitive Data Protection Discovery and Classification: profile BigQuery and Cloud Storage to find where sensitive data sits.Cryptographic Pseudonymization: deterministic and format-preserving encryption produce consistent, reversible replacements.Managed Service: no infrastructure to run, billed on the volume of data inspected and transformed.How does Airbyte fit alongside tokenization? Airbyte is the open-source data connectivity platform for AI and analytics. It does not tokenize data itself: it replicates data from 700+ sources into the warehouse or lake you choose, which is exactly where sensitive fields need protecting on the way in. For more on that layer, see our guide to ELT tools .
The platform offers a library of 700+ pre-built connectors to extract required data from sources, such as APIs, databases, cloud services, and files. Additionally, it provides Connector Development Kits (CDKs) and Connector Builder to create custom connectors. The latter has an AI assistant feature that automatically scans the selected API documentation and auto-fills most configuration fields, speeding up the development process.
Airbyte's mappings let you hash, encrypt or drop individual fields during a sync, so personal data can be pseudonymised before it lands, following the EtLT pattern. When you need reversible tokens rather than one-way hashes, pair Airbyte with one of the data tokenization tools above.
Airbyte supports SOC 2 Type II, GDPR and HIPAA, with Airbyte Flex adding PCI and ISO, and provides encryption in transit and at rest, SSO, role-based access control and audit logging. With Airbyte Flex the data plane runs in your own cloud, VPC or on-premises environment, so sensitive data stays inside your network. See pricing for plan details.
What does tokenization actually get you? Tokenization, including newer approaches such as AI tokenization , helps you avoid financial losses and penalties for breaking privacy laws. Here are the main ways data tokenization tools pay off:
Reduced Risk of Data Breaches: Replacing sensitive data with tokens minimizes the impact of a breach as attackers gain access to meaningless substitutes rather than the actual data.Secure Data Sharing: You can effortlessly share your data with third parties without worrying about information leaks, as you can leverage tokenization to hide crucial details. This allows you to perform other tasks like auditing and analyses without any compromise. Secure Cloud Migration: moving data assets from on-premises to the cloud is safer when you tokenize them first, because exposure during transit and storage is limited. For the migration side, see our guide to cloud data migration tools .Simplified Compliance: by protecting confidential data, tokenization helps you meet requirements such as PCI DSS, GDPR, CCPA and HIPAA, and fits inside a wider programme of data governance tools .Enhances Customer Trust: Tokenization enables you to preserve your customers' data. This commitment reinforces their trust in your brand and improves your organization’s reputation.Multi-Channel Systems: Whether your data is accessed via mobile apps, websites, or in-store systems, tokenization ensures consistent security irrespective of the channels. Cost-Effective Security: Data tokenization offers a less resource-intensive way to secure your data, reducing encryption overheads and operational costs. Which tokenization tool should you choose? The right data tokenization tools depend on your security model. For PCI scope reduction in regulated estates, CipherTrust and Protegrity cover vaulted and vaultless options at enterprise scale. For developer-led teams, VGS, Basis Theory, Skyflow and Enigma Vault offer API-first vaults. ShieldConex suits card capture, Rixon suits teams that want no central token store, and Google Cloud Sensitive Data Protection suits data already in Google Cloud.
Whichever you choose, check that tokenized fields still join, validate and report correctly downstream, because formats and uniqueness matter to analytics; see our guide to data quality tools . For the wider data movement landscape, see our guide to data integration tools .
