Best Data De-Identification Tools for Kubernetes

Find and compare the best Data De-Identification tools for Kubernetes in 2025

Use the comparison tool below to compare the top Data De-Identification tools for Kubernetes on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Databunker Reviews

    Databunker

    Databunker

    Free
    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 Databunker introduces a new approach to customer data protection: - Secure Indexing: Utilizes hash-based indexing for all search indexes - No Clear Text Storage: Ensures all information is encrypted, enhancing overall security - Restricted Bulk Retrieval: Bulk retrieval is disabled by default, adding an extra layer of defense - API-Based Communication: Backend interacts with Databunker through API calls, similar to NoSQL solutions - Record Token: Databunker creates a secured version of your data object - an object UUID token that is safe to use in your database
  • 2
    STRM Reviews

    STRM

    STRM

    Free
    Developing and overseeing data policies can often be a tedious and frustrating process. However, with PACE by STRM, you gain a powerful tool to ensure the secure usage of data. You can implement data policies through code, no matter where they are situated, eliminating lengthy delays and expensive meetings in the process. Say hello to your new open-source data security engine that transforms the way you manage data governance. Data policies extend beyond merely controlling access; they are essential for deriving meaningful insights from data while maintaining appropriate safeguards. PACE empowers you to collaborate on the rationale and timing, while automating the execution through code. With PACE, you have the ability to programmatically define and enforce data policies across various platforms. This tool can seamlessly integrate into your existing data platform and catalog, taking advantage of the inherent capabilities of your current stack. By automating policy application across critical data platforms and catalogs, PACE simplifies your governance efforts significantly. This innovative solution streamlines the creation and execution of policies, allowing you to centralize oversight while decentralizing implementation. Additionally, it simplifies compliance with auditing requirements by enabling you to demonstrate how controls are executed effectively. Ultimately, PACE revolutionizes data governance, making it more efficient and user-friendly.
  • 3
    Protegrity Reviews
    Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.
  • 4
    Syntho Reviews
    Syntho is generally implemented within our clients' secure environments to ensure that sensitive information remains within a trusted setting. With our ready-to-use connectors, you can establish connections to both source data and target environments effortlessly. We support integration with all major databases and file systems, offering more than 20 database connectors and over 5 file system connectors. You have the ability to specify your preferred method of data synthetization, whether it involves realistic masking or the generation of new values, along with the automated identification of sensitive data types. Once the data is protected, it can be utilized and shared safely, upholding compliance and privacy standards throughout its lifecycle, thus fostering a secure data handling culture.
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