Baffle, a security company, has announced the launch of a new solution called Baffle Data Protection for AI. This solution aims to provide secure protection for private data used in generative artificial intelligence (AI) projects. By integrating with existing data pipelines, Baffle’s solution accelerates generative AI projects while ensuring that regulated data remains cryptographically secure and compliant.
According to Baffle, the solution utilizes the advanced encryption standard (AES) algorithm to encrypt sensitive data throughout the generative AI pipeline. This encryption ensures that unauthorized users are unable to view private data in cleartext. Given the well-documented risks associated with sharing sensitive data with generative AI and large language models (LLMs), this added layer of security is crucial.
Many of the concerns surrounding the use of generative AI and LLMs revolve around the security implications of sharing private data with self-learning algorithms. As a result, some organizations have chosen to impose restrictions or even ban certain generative AI technologies like ChatGPT. While private generative AI services, such as retrieval-augmented generation (RAG) implementations, are generally considered less risky, the privacy and security implications of these services have not been fully explored.
Baffle Data Protection for AI addresses these concerns by anonymizing data values to prevent cleartext data leakage. The solution encrypts data with the AES algorithm as it enters the data pipeline. When this data is used in a private generative AI service, sensitive data values are anonymized, ensuring that cleartext data leakage is impossible.
Moreover, Baffle’s solution ensures that sensitive data remains encrypted regardless of its movement or transfer within the generative pipeline. This feature helps companies meet specific compliance requirements, such as the right to be forgotten outlined in the General Data Protection Regulation (GDPR). By shredding the associated encryption key, companies can effectively delete the data while maintaining compliance.
In addition to protecting data within private generative AI services, Baffle Data Protection for AI also safeguards against exposure in public generative AI services. Personally identifiable information (PII) is anonymized, preventing the private data from being compromised if it were to be inadvertently shared.
The release of Baffle’s new solution represents a significant advancement in securing private data for use with generative AI. By leveraging the AES algorithm and anonymizing data values, organizations can confidently accelerate their generative AI projects while adhering to data privacy regulations and mitigating potential security risks.
As generative AI continues to evolve and play a more significant role in various industries, the need for robust data protection solutions becomes increasingly critical. Baffle Data Protection for AI offers a comprehensive approach to securing sensitive data and ensuring compliance, enabling organizations to harness the power of generative AI technologies with confidence and peace of mind.