BigID today announced its Data Security Posture Management (DSPM) solution to offer scanning and securing of sensitive data stored in vector databases.
Vector databases are essential for generative AI (genAI) as they convert unstructured content into a vectorized format, enabling Large Language Models (LLMs) to generate content. However, the AI vectorization process often retains the original data as reference material for the LLM, posing significant security and privacy risks.
By scanning and securing sensitive data within vector databases, BigID helps ensure that enterprises can harness the power of AI without compromising on data protection. This innovation is particularly significant for AI enrichment methods like Retrieval-Augmented Generation (RAG), which rely heavily on vector databases.
"No other DSP, DSPM, or data security solution on the market today offers the ability to scan and secure sensitive data within AI vector databases," said Dimitri Sirota, CEO and co-founder at BigID. "This pioneering solution underscores our commitment to advancing data security and empowering organizations to confidently adopt AI technologies."
With the increasing adoption of AI across industries, securing the data itself has never been more critical. BigID's latest innovation not only enhances the security posture of enterprises but also accelerates their journey towards AI integration by mitigating risks associated with sensitive data exposure.
See BigID's latest in pioneering AI security at the Black Hat Conference, August 5 - 8 at booth #4364.
