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  • A tool for detecting personal data and other sensitive information

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    A tool for detecting personal data and other sensitive information in databases, ensuring compliance with NIS2, DORA and GDPR.

    It facilitates the implementation of anonymization and data retention processes within the organization and helps maintain their ongoing accuracy.

    • Verifies and detects whether changes have occurred in the database (e.g., SQL) and whether anonymization processes require updates.
    • Searches and automatically classifies data based on predefined rules, regular expressions, dictionaries and heuristics, also analyzing data structure definitions and data samples.
    • Identifies changes in database structures and areas that should be included in the anonymization process.
    • Can scan systems on a one-off basis or cyclically (preventively).
    • Provides continuous monitoring of changes and supports incident and data-breach handling already at the identification stage.

    Who is it for?

    Detecto is a solution for:

    - Organizations that want to anonymize data sets and want to ascertain what personal and sensitive data appear in their databases.

    - Organizations that have already implemented the anonymization process and want to ensure the highest quality of data security.

    IMPORTANT

    Detecto integrates with our other two products, Nocturno and Oblivio, allowing for the anonymization and retention of personal data while also detecting such data in all databases.

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

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    Case studies

    Energy sector company

    The company operates a system that has been developed for over 20 years and contains more than 8,000 tables. The organization does not know where personal and financial data are located within the system. An internal audit indicated the need to identify columns that store these types of data.

    Detecto scanned the entire database and generated a detailed report listing all locations (tables + columns) where personal and financial data were found.