Overview
Severity: MEDIUM | Affected: OWASP | Category: tool
The Open Web Application Security Project (OWASP) has officially launched a new open-source project named 'Guardian.' This framework is designed to standardize and automate the process of security testing and red-teaming for AI and machine learning systems. Guardian provides a comprehensive suite of tools for probing models for vulnerabilities like prompt injection, data poisoning, model inversion, and membership inference attacks. It includes a library of pre-built attack payloads, a reporting engine to document findings, and integrations with popular ML development platforms like MLflow and Kubeflow. The project aims to provide developers and security professionals with a consistent, repeatable methodology for assessing AI security posture, addressing a critical gap in the MLOps lifecycle. The initial release supports major LLMs and vision models, with a roadmap to include reinforcement learning agents in future updates.