
Seudo is a data pseudonymization engine that transforms datasets with sensitive information into datasets that can be safely shared with clients, coworkers, and customers. It also uses AI to generate insights and recommendations based on data samples.
Data pseudonymization with AI insights.
To use Seudo, simply upload your dataset with sensitive information and select the appropriate transformation operations such as redaction, masking, or time shifting. Seudo will then process the data and generate a pseudonymized dataset that can be safely shared.
Data pseudonymization is the process of transforming datasets with sensitive information into datasets that cannot be directly linked to an individual.
Seudo uses AI algorithms to analyze data samples and identify patterns, trends, and correlations. Based on this analysis, it provides insights and recommendations to users.
Yes, Seudo can be seamlessly integrated into any existing CI/CD workflow or data pipeline using its APIs.