When it comes to developing and fine-tuning artificial intelligence (AI) and machine learning (ML) models, reliable results don't happen by chance – they're built on a solid foundation of data. AI/ML models and customer use cases are only as good as the data they’re trained on.
However, using sensitive or personally identifiable information can carry serious privacy, security and compliance risks. With DataMasque, you can mask and generate statistically equivalent data that is synthetically identical to your customers’ data, preserving privacy while maintaining data utility for AI/ML model training, testing and development.
DataMasque enables enterprises to fine-tune AI models using de-identified customer data. Our data masking technology creates synthetically identical customer data that preserves integrity while ensuring compliance.
Unlike traditional masking or fully synthetic datasets that often lack the full variability and edge cases present in real-world data, our approach maintains realistic detail without compromising sensitive information.
Whether you're training a proprietary model or tweaking an off-the-shelf one, DataMasque consistently masks your data, enabling you to leverage all of your data sources.
DataMasque integrates seamlessly with your BYOM strategy, providing consistently de-identified training data ready for fine-tuning.
Don't let regulatory compliance slow down your AI initiatives. DataMasque helps you adhere to HIPAA, GDPR and PCI DSS privacy regulations, allowing you to focus on innovation.
DataMasque’s masking software provides robust data protection for enterprises by removing sensitive PII, PHI, and PCI data, meeting all necessary compliance requirements.
