Description
Securing AI Outputs: Prevention of Data Leakage in Enterprise AI
As AI systems process and generate insights from sensitive enterprise data, preventing information leakage through model outputs has become a critical security challenge. Even when input data is properly secured, AI models can inadvertently reveal confidential information through their responses, predictions, and generated content.
The challenge lies in maintaining model utility while preventing the disclosure of sensitive information through direct outputs, indirect inference, or pattern analysis. Here are strategies for securing AI outputs while preserving the value and functionality of AI systems.
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