Overview
Severity: MEDIUM | Affected: Aegis AI Foundation | Category: tool
The Aegis AI Foundation, a non-profit consortium, has released 'GuardianML v1.0', an open-source security framework designed to help developers protect AI applications. GuardianML acts as a configurable firewall for Large Language Models, providing real-time detection and mitigation of common threats like prompt injection, data leakage, and denial-of-service attacks. It operates by analyzing both input prompts and model outputs using a lightweight, specialized detector model alongside configurable regex and heuristic filters. The framework is designed for easy integration into existing application stacks via a simple API, offering a much-needed layer of defense for organizations that build on top of third-party or open-source models. The project aims to standardize defensive practices and foster a community-driven approach to securing the rapidly growing AI ecosystem.