GASPAR

? Open-Source Evaluation & Testing for AI & LLM systems

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

A curated list of useful resources that cover Offensive AI.

A list of backdoor learning resources

An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team.

a prompt injection scanner for custom LLM applications

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

A security scanner for your LLM agentic workflows

RuLES: a benchmark for evaluating rule-following in language models

Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.