Baffle Data Protection for GenAI

Easily Protect your Private Data to use with GenAI

Platform overview

GenAI is causing companies to accelerate their plans to leverage private data for insights into their business. Baffle enables AI teams to ensure their use of private data sets with GenAI is compliant with privacy regulations.

Baffle Data Protection provides data-centric protection by anonymizing sensitive data and restricting access to the information. This data security layer allows companies to easily meet compliance controls and security mandates, and reduce the effort and cost of protecting sensitive information, eliminating the impact of data breaches

Key benefits

Easy

No application code modification required

Fast

Deploy in hours not weeks

Comprehensive

One solution for masking, tokenization, and encryption

Secure

AES cryptographic protection

Flexible

No impact to user experience

Key Capabilities

Data-in-Use Protection

When data is accessed and used, it is cryptographically protected, even from admin accounts (unlike data-at-rest only protection)
Meet privacy requirements for GDPR, NIST, CCPA, PCI DSS v4.0, and more
Even with data sprawl, the data is protected and meets compliance requirements regardless where it flows downstream

Role-Based Access Control

Restricts use of data based on fine-grained policies by individual or group
Combine permissions at data level (field, row, column, or logical database) with access type (clear text, partially masked, fully encrypted, etc.)
Integrate with existing IAM systems for easier administration of access control policies

Secured Vector Databases

Encrypt sensitive PII values in text chunks and embeddings
Perform similarity searches and other vector operations directly on encrypted values
Prevent data breaches through data stored in vector databases for GenAI applications

High-Performance and Scalable Architecture

No perceived impact on application performance
Enables vertical and/or horizontal scaling as load increases, and applications continue to meet SLAs
Accommodate changing workloads, ensuring elasticity without major disruptions

No-code Implementation

No application code changes are required to deploy and use, enabling even 3rd party apps to continue functioning
Changes in data protection policies don’t impact applications
Protect your data in days (not months) with the least costly, least risky, and least disruptive approach