Best Data De-Identification Tools for Java

Compare the Top Data De-Identification Tools that integrate with Java as of October 2025

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This a list of Data De-Identification tools that integrate with Java. Use the filters on the left to add additional filters for products that have integrations with Java. View the products that work with Java in the table below.

What are Data De-Identification Tools for Java?

Data de-identification tools are designed to remove potentially identifiable information from datasets. These tools can be used to ensure that data is anonymized and compliant with data privacy regulations, such as GDPR. Data de-identification methods typically involve techniques like suppressing or masking of certain pieces of data. Other methods like pseudonymization, tokenization, and randomization may also be used in order to completely obfuscate the original data while still allowing analysis of the remaining dataset. Furthermore, some advanced data de-identification software includes additional features for monitoring access and preventing unauthorized use of sensitive personal information. In summary, data de-identification tools provide organizations with ways to ensure compliance by removing personally identifiable information from their datasets before sharing or publishing them publicly. Compare and read user reviews of the best Data De-Identification tools for Java currently available using the table below. This list is updated regularly.

1

SecuPi

SecuPi

SecuPi provides an overarching data-centric security platform, delivering fine-grained access control (ABAC), Database Activity Monitoring (DAM) and de-identification using FPE encryption, physical and dynamic masking and deletion (RTBF). SecuPi offers wide coverage across packaged and home-grown applications, direct access tools, big data, and cloud environments. One data security platform for monitoring, controlling, encrypting, and classifying data across all cloud & on-prem platforms seamlessly with no code changes. Agile and efficient configurable platform to meet current & future regulatory and audit requirements. No source-code changes with fast & cost-efficient implementation. SecuPi’s fine-grain data access controls protect sensitive data so users get access only to data they are entitled to view, and no more. Seamlessly integrate with Starburst/Trino for automated enforcement of data access policies and data protection operations.

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2

TrueZero Tokenization

Spring Labs

TrueZero’s vaultless data privacy API replaces sensitive PII with tokens allowing you to easily reduce the impact of data breaches, share data more freely and securely, and minimize compliance overhead. Our tokenization solutions are leveraged by leading financial institutions. Wherever PII is stored, and however it is used, TrueZero Tokenization replaces and protects your data. More securely authenticate users, validate their information, and enrich their profiles without ever revealing sensitive data (e.g. SSN) to partners, other internal teams, or third-party services. TrueZero minimizes your in-scope environments, speeding up your time to comply by months and saving you potentially millions in build/partner costs. Data breaches cost $164 per breached record, tokenize PII & protect your business from data loss penalties and loss of brand reputation. Store tokens and run analytics in the same way you would with raw data.

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3

CipherTrust Tokenization

Thales Cloud Security

CipherTrust Tokenization dramatically reduces the cost and effort required to comply with security policies and regulatory mandates like PCI DSS while also making it simple to protect other sensitive data including personally identifiable information (PII). While there are no tokenization standards in the industry, most tokenization solutions fall into one of two architectures: vaultless- or vaulted tokenization Both secure and anonymize sensitive assets. Tokenization software can reside in the data center, big data environments or the cloud. Tokenization can remove card holder data from PCI DSS scope with minimal cost and effort, enabling organizations to save on costs associated with compliance with the industry standard. Modern IT architectures require both use and protection of personally identifiable information (PII). With CipherTrust tokenization, PII protection is gained without encryption key management required by the software developer.

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4

Syntho

Syntho

Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer. Connect to the source data and target environment with our out-of-the-box connectors. Syntho can connect with every leading database & filesystem and supports 20+ database connectors and 5+ filesystem connectors. Define the type of synthetization you would like to run, realistically mask or synthesize new values, automatically detect sensitive data types. Utilize and share the protected data securely, ensuring compliance and privacy are maintained throughout its usage.

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