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Revealing confidential information risk for AI
Last updated: Dec 12, 2024
Revealing confidential information risk for AI
Intellectual property Icon representing intellectual property risks.
Risks associated with output
Intellectual property
Amplified by generative AI

Description

When confidential information is used in training data, fine-tuning data, or as part of the prompt, models might reveal that data in the generated output. Revealing confidential information is a type of data leakage.

Why is revealing confidential information a concern for foundation models?

If not properly developed to secure confidential data, the model might reveal confidential information or IP in the generated output and reveal information that was meant to be secret.

Parent topic: AI risk atlas

We provide examples covered by the press to help explain many of the foundation models' risks. Many of these events covered by the press are either still evolving or have been resolved, and referencing them can help the reader understand the potential risks and work towards mitigations. Highlighting these examples are for illustrative purposes only.

Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more