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  • Data anonymization tool

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    A data anonymization tool designed to anonymize multiple systems simultaneously while maintaining full data consistency across all systems.

    • Supports data quality testing and application performance testing, enabling efficient product development and enhanced cybersecurity.
    • Enables the generation of synthetic personal data that closely resembles production data in both quantity and quality.
    • Supports anonymization of multiple data types: business and operational (e.g., financial), personal, and sensitive data.
    • Prepares high-quality datasets for training and developing AI solutions.
    • Reduces employee access to production data, significantly improving both data security and regulatory compliance.

    Who is it for?

    Nocturno is a solution for:

    Every team that plans on implementing a solution to support anonymization processes in the near future

    Teams responsible for:

    • Creation, development and maintenance of systems in which sensitive data is stored
    • Software testing processes
    • Transferring anonymized reports and data to other systems

    IMPORTANT

    Nocturno integrates with one of our other products - Detecto, allowing you to easily search for sensitive data in various systems and databases.

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    How does it work?

    For development purposes, certain types of data can be erased or replaced by strings of numbers or letters. However, there are also types of data that require special anonymization algorithms, for example: personal identity numbers, dates of birth, tax ID numbers, etc.

    These types of data may have a built-in checksum mechanism or special composite value verified by the source system. Overwriting this data with inconsistent values can lead to system malfunctions.

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      Allows you to declare rules for values that are to be anonymized. It also has built-in generators for the most common data types.

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      Takes into account the complexity of modern IT systems so they can be adapted to the structure of the database.

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      Ensures the consistency of anonymized data between different databases within an organization.

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      Supports many database types (MySQL, DB2, SQL Server, Oracle, PostreSQL and others).

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      Comes with built-in generators for different data types such as: first and last name, personal identity number, tax ID number, address and others.

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      Generates data in various languages (e.g. Polish and English).

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    *At your request we can implement generators tailored to individual needs during the implementation process.

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    Central Anonymization Database

    This ensures the consistency of anonymized data between different databases within an organization. In practice, the same person in production systems will be anonymized identically each time anonymization is started on different databases.

    Implementation Process

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    Analysis

    The implementation of Nocturno begins with our analysis of your data as conducted by our consultants.*

    Personal and sensitive data are searched for in a data set and then we configure the system to begin the anonymization process.

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    Anonymization

    The anonymization process is created using generators to obtain anonymized data.

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    Configuration Versioning

    Changes in functionality, structure or scope of data storage in systems, with which Nocturno is integrated, will not affect the quality of anonymization thanks to the ability to adjust the tool configuration to the new version of the system. This is a one-way and secure process.

    Want to implement tools for anonymization and/or retention of personal data?

    Make an appointment

    Case Studies

    Company in the Financial Sector

    The customer has 20 IT systems supporting its operations. Some of the systems are developed by an external supplier. Tests are performed by business owners.

    The client has over 100 environments. Wizards Nocturno automates the process of building test and development environments in such a way that personal and sensitive data is anonymized during creation. Anonymization does not change the qualitative and quantitative parameters of the data, allowing for secure testing and software development.

    Nocturno reduced the client's DevOps team's involvement in creating environments by 50%, while increasing the security of data stored in the systems.