Dedomena's anonymization tools anonymize personal data in structured and unstructured databases, reversibly or irreversibly, in accordance with the needs of the information processing, ensuring compliance with all applicable data protection regulations such as GDPR and CCPA, amongst others.
Comply with the European GDPR and any other data protection regulations by anonymizing personal data when necessary.
Seamlessly integrate our anonymization tools into your products and services with an easy-to-use REST API or user interface. In both interfaces, you will benefit from full functionality and can configure the solution to your company's privacy needs.
Our unique anonymization tools automatically detect a personal identifier and generate a synthetic replacement that reflects the original attributes. Therefore, the solution protects identities while keeping necessary information for analytics or machine learning.
Anonymize structured and unstructured data such as audio, video or images. Our tools are the most precise AI-based solutions for anonymizing data that should not be reverse-engineered.
With Dedomena, securely anonymize your data on a day-to-day basis with best-of-breed artificial intelligence
Select the files and data you want to anonymize. Our solution will automatically detect the format, language and optimal configuration for further processing.
Decide between different types of anonymization based on your needs, whether it will be reversible or irreversible and begins processing data and content protection.
Once your data is anonymized, you can save it and use it securely. Dedomena will not store any private data, ensuring a clean and safe process. You can also keep track of the anonymization status and download your anonymization results through our intuitive user interface.
Data anonymization plays an important role in maintaining data security and privacy across sectors
Compliance with regulatory requirements regarding GDPR or CCPA, amongst others.
Obtaining data and insights from structured and unstructured databases, and the capacity to perform better advanced analytics on anonymized data.
Legally share private and sensible data both internally and with third parties without compromising confidentiality and security.
If data is stolen through a data breach, it would have no practical value outside of the organisation.
Our approach to anonymization makes data consistent among multiple systems, making anonymized data reliable for analysis, development and testing.
Efficient machine learning algorithms allow shorter implementation time. Once the model is generated , you can use anonymized data on demand.
When is data anonymization crucial for your company?
Effective anonymization of personal data eliminates the risks to individuals' data privacy. Data can be processed more easily and be used for multiple purposes.
Medical records and health data to be shared or analyzed with other centres and doctors.
Behavioural patterns can lead to identification of people behind them, compromising their identity.
Storage, processing and migration of data in cloud environments must be performed in a secure way.
Banking data that is stored in different repositories to be able to extract financial insights and spending patterns of different types of users anonymously.
Location data is very sensitive because human trajectories show habits such as where you live, work and meet people.
Check out some of our explanatory articles or cross-industry
use cases to know more
Synthetic Data can help insurance companies to improve their underwritting, claims management and customer experience while unlocking the potential of data that have been hidden by data privacy regulations.
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Synthetic data has received considerable attention as a method of protecting patient privacy, diversifying datasets and augmenting clinical research, hence accelerating the application of Artificial Intelligence across different hospitals and institutions.
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Data anonymization is key to applying the best data-driven strategies in the banking industry. The correct implementation of this strategy based on synthetic data will allow extracting all the knowledge and insights from customer financial data.
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The techniques that have always been used to anonymize data do not have the guarantee of ensuring the total anonymity of the data. These are techniques that have flaws when it comes to ensuring data privacy and utility.
4 min read