We ran an experiment using Morris et. al’s Vec2Text model, to demonstrate the privacy risk of text embeddings with sensitive data. As we’ll show, a large percentage of sensitive data can be recovered from just their text embeddings, posing a significant privacy risk and demonstrating the need to use a tool like Tonic Textual to protect your data before using it to build generative AI systems.
First seen on securityboulevard.com
Jump to article: securityboulevard.com/2025/07/sensitive-data-in-text-embeddings-is-recoverable/
