BigID

As AI technologies continue to transform industries, ensuring the data being used to train AI models will be secured becomes a critical priority. BigID pioneers data security posture management (DSPM) innovation as the first solution to secure sensitive data in vector databases, enabling safe AI adoption and enhanced enterprise security.

Vector databases are essential for generative AI (genAI), converting unstructured content into vectorized formats to power Large Language Models (LLMs). However, the vectorization process often retains original data, posing significant privacy and security risks. Recognizing this vulnerability, BigID addresses a critical gap in AI data security by scanning and securing sensitive data stored in vector databases. This advancement empowers enterprises to harness AI’s capabilities without compromising data protection.

BigID’s groundbreaking solution supports AI enrichment methods like Retrieval-Augmented Generation (RAG), which heavily rely on vector databases. By scanning for unmanaged vector databases and detecting sensitive or regulated data within vector representations, BigID helps organizations mitigate risks proactively.