BigID is the first Data Security Posture Management (DSPM) solution to offer scanning and securing of sensitive data stored in vector databases: a critical advancement for AI adoption and enterprise security.

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.

Closing the Data Security Gap

Recognizing this vulnerability, BigID’s new capability addresses a crucial gap in data security. 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.

Comprehensive Guide to Data Scanning Solution Brief

BigID can now scan and detect unmanaged Vector DBs (which are used by AI models that utilize RAG) – and alert if there is sensitive data, regulated data, and personal information (PI) within the textual representations of the vector itself.

“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. This pioneering solution underscores our commitment to advancing data security and empowering organizations to confidently adopt AI technologies.”

– Dimitri Sirota, CEO and Co-Founder at BigID.

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 it in action today – and get a 1:1 demo with our AI security experts.