Baffle

This capability uniquely permits authorized users to perform standard database operations, like similarity searches, directly on data while it remains encrypted. It ensures information is constantly protected against unauthorized access, even during active querying, which is critical for high-value applications and proprietary data analysis.

The platform extends auditable protection across both structured and unstructured data throughout the GenAI pipeline. It secures data as it moves from source to object stores and into vector databases, enabling organizations to safely build and deploy cutting-edge AI applications while maintaining strict compliance.

Leveraging a no-code/low-code approach, Baffle streamlines encryption, tokenization, masking, and de-identification with minimal development effort. It supports column-level and row-level encryption, format preserving encryption, and tokenization, giving teams deployment flexibility while preserving application integrity.

Baffle integrates with enterprise key managers, giving customers explicit control and ownership of their encryption key material. This key control provides critical data isolation between different customer tenants, which is essential for SaaS providers and meeting data sovereignty requirements.

This feature provides simplified static and dynamic data masking via a "no-code" approach, mitigating the risks of data leakage and bulk data breaches. It supports role-based access to masked data, allowing teams to create real-time masked clones of production data for use in test or development environments.