Navigating the security and privacy challenges of large language models

This report outlines the security and privacy challenges of adopting LLM-powered generative AI, detailing five key risk areas—oversharing sensitive data, copyright complications, insecure code generation, attacks on LLMs (e.g., prompt injection and SSRF), and provider breaches/leaks—and recommends concrete mitigations including data encryption/anonymization and sanitization, robust access controls and least privilege, regular security audits, practiced incident response, thorough vendor due diligence with clear data handling policies, and enforcing secure development practices when developers use LLMs.