Agentic Security

Python Risk Identification Tool for generative AI. Microsoft's open-source framework for automated red teaming with multi-modal attack support, crescendo strategies, and 100+ operations experience. MIT licensed.

Open-source system for automatic censorship and robustness suppression removal in language-model outputs.

Programmable guardrails toolkit for LLM-based conversational systems. Uses Colang DSL to define safety rules, dialog flows, and content boundaries. Integrates with LangChain, LangGraph, and LlamaIndex for production deployments. Apache 2.0 licensed.

Input/output validation framework for building reliable AI applications. Detects and mitigates risks through composable validators for PII, toxicity, prompt injection, and structured output validation. Features Guardrails Hub with 50+ pre-built validators. Apache 2.0 licensed.

Trained models and code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using PyTorch Lightning and Transformers for toxicity, severe toxicity, obscene, threat, insult, identity attack, and sexual explicit content detection. Apache 2.0 licensed.

AI-powered agentic red team framework that automates offensive security operations from reconnaissance to exploitation to post-exploitation with zero human intervention. Integrates multiple security tools for comprehensive penetration testing. MIT licensed.