This research evaluates how effectively large language models can handle privacy compliance requirements and technical privacy reviews, a critical consideration for enterprise adoption.

• LLMs show promise but have significant limitations in privacy compliance tasks
• Researchers developed a specialized Privacy Technical Review framework to evaluate and mitigate privacy risks
• Performance varies across different privacy domains and regulatory frameworks
• Organizations need robust validation processes when using LLMs for privacy-sensitive tasks

For security teams, this research provides essential insights into the capabilities and limitations of LLMs when handling sensitive data and privacy requirements in enterprise settings.

How Privacy-Savvy Are Large Language Models? A Case Study on Compliance and Privacy Technical Review