Best Data De-Identification Tools for Mac
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Compare the Top Data De-Identification Tools for Mac as of December 2025
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What are Data De-Identification Tools for Mac?
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 Mac currently available using the table below. This list is updated regularly.
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1
Babel Obfuscator
babelfor.NET
Babel Obfuscator is a powerful protection tool for the Microsoft .NET Framework. Programs written in .NET languages, like C# and Visual Basic .NET, are normally easy to reverse engineer because they compile to MSIL (Microsoft Intermediate Language), a CPU-independent instruction set that is embedded into .NET assemblies, along with metadata allowing the reconstruction of original source code. Babel Obfuscator is able to transform assemblies in order to conceal the code, so reversing is extremely difficult. This transformation process is called obfuscation. Protect your software against reverse engineering to safeguard the intellectual property of your code. Runs on Windows, MAC OSX, and Linux operating systems. Fully managed code encryption and virtualization. Simplify the deploy of your application merging or embedding all dependencies into a single file. Performs code optimization by reducing the overall metadata size and removing unused code.Starting Price: €350 one-time payment -
2
Gallio
Gallio
As face recognition technology is growing at an exponential pace, the storage of image and video files containing sensitive information poses significant risks. Gallio provides you with a unique solution for privacy protection based on artificial intelligence. Algorithms blur faces making them virtually impossible to recognize while leaving image quality intact. Efficiently anonymizes license plates making them illegible. Works with license plate patterns from all around the world. From now on you can store and publish your images and recordings without worrying that someone will recognize a given vehicle and sue you for privacy infringement. The easy-to-use editor allows you to remove blur from selected faces and license plates. Share videos and images as evidence and provide recordings on demand to data subjects, while protecting the privacy of anyone else.Starting Price: €89 per month -
3
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. -
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DOT Anonymizer
DOT Anonymizer
Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.Starting Price: €488 per month -
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NMTY Enterprise
NMTY
NMTY Enterprise helps you protect all your privacy-sensitive data within your organization, regardless if it is stored in databases or files. Make NMTY Enterprise part of your IT environment and immediately anonymize all data sources that need to be protected. NMTY Enterprise makes it possible to anonymize data regardless of how it is stored, from databases to individual files. Anonymize data stored in a database or in separate files such as CSV and XML. Data is always anonymized directly within the source. This prevents non-anonymized data from being duplicated unnecessarily. Connections to your data sources support integrated authentication and are always encrypted when stored. In addition to anonymizing datasets, it is also possible to directly anonymize data processed within documents and images. Our solutions are developed based on the latest innovations and integrate directly into your existing processes. This way we ensure we always achieve the maximum result.
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