Baffle Data Protection for AI Empowers Companies to Protect Private Data While Advancing Generative AI Projects

Baffle, Inc. is offering a solution for securing private data for use in generative AI (GenAI) projects that integrates seamlessly with existing data pipelines.

With Baffle Data Protection for AI, companies can accelerate GenAI projects knowing their regulated data is cryptographically secure and remain compliant, while minimizing risk and gaining the benefits of a breakthrough technology, according to the company.

“ChatGPT has been a corporate disruptor, forcing companies to either develop or accelerate their plans for leveraging GenAI in their organizations,” said Ameesh Divatia, founder and CEO, Baffle. “But data security and compliance concerns have been stifling innovation—until now. Baffle Data Protection for AI makes it easy to protect sensitive corporate data while using that data with private GenAI services so companies can meet their GenAI timelines safely and securely.”

With Baffle Data Protection for AI, sensitive data is encrypted with the advanced encryption standard (AES) algorithm as it is ingested into the data pipeline. When this data is used in a private GenAI service, sensitive data values are anonymized, so cleartext data leakage cannot occur even with prompt engineering or adversarial prompting, according to the company.

And because sensitive data remains encrypted no matter where the data may be moved or transferred in the GenAI pipeline, unauthorized users cannot see private data in cleartext, and companies are able to meet specific compliance requirements, such as GDPR’s right to be forgotten, by simply shredding the associated encryption key.

Also, Baffle Data Protection for AI prevents private data from being exposed in a public GenAI service, as the PII data is anonymized. This technical solution is an additional safeguard that complements processes and policies that forbid the use of private data (either intentionally or unintentionally) with a public GenAI service.

Unlike other options such as access controls and DLP, Baffle’s no-code, data-centric approach protects data as soon as it is created and then keeps it protected throughout the GenAI prompt and response process, according to the company.

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