Overview
Severity: MEDIUM | Affected: OWASP Foundation | Category: tool
The OWASP Foundation has released 'LLM-Guard', an open-source security toolkit designed to act as a firewall for applications integrating with large language models. The project aims to provide developers with a standardized, configurable defense layer against common LLM-specific threats, including prompt injection, data leakage, and insecure output handling. LLM-Guard includes modules for input validation, sensitive data redaction (PII scanning), topic-based filtering, and anomaly detection to flag potentially malicious prompts. It can be deployed as a standalone proxy or integrated as a library within Python applications. The release is part of OWASP's broader effort to address emerging threats in the AI landscape, complementing their Top 10 for Large Language Model Applications project. The tool is available on GitHub and is expected to see rapid community adoption.