Compare the Top Data De-Identification Tools that integrate with Kubernetes as of July 2025

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

What are Data De-Identification Tools for Kubernetes?

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 Kubernetes currently available using the table below. This list is updated regularly.

  • 1
    Databunker

    Databunker

    Databunker

    Databunker is a lightning-fast, open-source vault developed in Go for secure storage of sensitive personal records. Protect user records from SQL and GraphQL injections with a simple API. Streamline GDPR, HIPAA, ISO 27001, and SOC2 compliance. Databunker is a special secure storage system designed to protect: - Personally Identifiable Information (PII) - Protected Health Information (PHI) - Payment Card Industry (PCI) data - Know Your Customer (KYC) records
    Starting Price: Free
  • 2
    STRM

    STRM

    STRM

    Creating and managing data policies is a slow pain. With PACE by STRM, you can make sure data is used securely. Apply data policies through code, wherever it lives. Farewell to long waits and costly meetings, meet your new open source data security engine. Data policies aren't just about controlling access; they are about extracting value from data with the right guardrails. PACE lets you collaborate on the why and when automating the how through code. With PACE you can programmatically define and apply data policies across platforms. Integrated into your data platform and catalog (optional), and by leveraging the native capabilities of the stack you already have. PACE enables automated policy application across key data platforms and catalogs to ease your governance processes. Ease the process of policy creation and implementation, centralize control, and decentralize execution. Fulfill auditing obligations by simply showing how controls are implemented.
    Starting Price: Free
  • 3
    Protegrity

    Protegrity

    Protegrity

    Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making.
  • 4
    Syntho

    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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