Artificial intelligence (AI) and Machine Learning (ML) models are only as good as the data they’re trained on. But when your data contains sensitive or personally identifiable information, using it directly in your AI/ML projects can lead to privacy issues, compliance challenges and potential security risks.
DataMasque enables you to mask and generate synthetically identical customers data for AI/ML use cases, ensuring you can train, test and develop AI/ML models with data that’s realistic and free from privacy concerns.
DataMasque masks sensitive information creating synthetically identical customer data that preserves utility of your data - meaning the masked data will behave just like the real thing. DataMasque also ensures that your masked datasets remain consistent across environments.
DataMasque can help you meet compliance and privacy standards, including GDPR, CCPA, HIPAA, and more. You can confidently use the data masked by DataMasque for model training, testing and analysis, knowing that PII has been removed and it’s irreversible.
AI and ML projects often involve large volumes of data. Whether you’re working with millions of rows or billions, DataMasque was built to handle large volumes of data.