CISO's guide to vector database security | TechTarget
Vector databases play a critical role in today's AI-driven enterprise deployments. A vector database stores numerical representations -- embeddings -- of text, documents, images and other data, enabling semantic searches. Such searches are crucial to retrieval-augmented generation, enterprise search tools and AI applications.
These databases increasingly underpin enterprise AI applications by making internal knowledge searchable by means other than keywords. The implication is that many businesses are putting proprietary, sensitive and sometimes regulated information that AI can retrieve into systems that might not be properly secured.
The risk? Securing the AI model or application alone is not enough. It is vital to also protect the underlying data, embeddings and retrieval pathways. It is also important to govern embeddingsaccording to the sensitivity and business value of the information they represent. Essential vector database security, therefore, involves protecting the data entering the vector database, the database itself and every application...
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