LLM02: Sensitive Information Disclosure – FireTail Blog

AI security, particularly concerning Large Language Models (LLMs), faces escalating challenges due to rapidly evolving threats. Sensitive Information Disclosure (SID), a major vulnerability, involves the unintended release of private data like PII or financial records. LLMs can expose this information through misconfigurations, data leaks, or attacks like prompt injection. Mitigation strategies include data sanitization, rigorous input validation, and strict access controls. Limiting data sources and employing differential privacy further enhance security. User education and transparency regarding data usage are crucial. The OWASP Top 10 for LLMs offers a helpful checklist, but additional measures may be necessary. SID enables malicious actors to exploit sensitive data for further attacks. FireTail's resources provide in-depth analysis of AI and API security risks. The ongoing blog series will continue exploring other critical LLM vulnerabilities.