PyRIT
Risk analyzer
Automates security risk identification and red teaming in generative AI systems
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
2k stars
27 watching
364 forks
Language: Python
last commit: 6 days ago
Linked from 1 awesome list
ai-red-teamgenerative-aired-team-toolsresponsible-ai
Related projects:
| Repository | Description | Stars |
|---|---|---|
 ensta-u2is-ai/torch-uncertainty | Provides tools and methods to quantify uncertainty in deep learning models and improve their reliability | 304 |
 claudiugeorgiu/riskindroid | An Android app risk analysis tool using machine learning and reverse engineering to evaluate permission usage and risks. | 136 |
 endgameinc/rta | A framework of python scripts designed to test detection capabilities against malicious tradecraft modeled after MITRE ATT&CK tactics. | 1,050 |
 embodiedgpt/embodiedgpt_pytorch | A PyTorch-based toolkit for creating customized multimedia datasets and handling heterogeneous data for training AI models. | 340 |
 orobix/visual-feature-attribution-using-wasserstein-gans-pytorch | A PyTorch implementation of a feature attribution technique using Wasserstein Generative Adversarial Networks for anomaly detection in medical images. | 93 |
 arm-doe/pyart | An interactive toolkit for working with weather radar data using Python and atmospheric radar algorithms | 516 |
 apger/sa-rba | A Splunk add-on that provides risk-based alerting capabilities using Python and integrates with Splunk Enterprise Security | 45 |
 ai-secure/decodingtrust | An assessment tool for evaluating trustworthiness in GPT models across various aspects such as toxicity, bias, robustness, and fairness. | 259 |
 python-security/pyt | A tool that analyzes Python web applications for potential security vulnerabilities | 2,176 |
 tripwire/tardis | An intelligence platform for threat analysis and incident response | 121 |
 ctallec/pyvarinf | A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch | 359 |
 project-dc/pygeneses | A PyTorch-based framework for training and studying artificial species in bio-inspired environments | 72 |
 jphall663/gai_risk_management | Resources to help organizations manage risks associated with Generative AI systems | 10 |
 someengineering/fixinventory | Tools to identify and remove critical risks in cloud infrastructure accounts by analyzing metadata from APIs of various cloud services | 1,608 |
 stratosphereips/manati | A tool to assist threat analysts in discovering new security problems using machine learning | 112 |