“guardrails and AI safety”

Python framework with input and output guards that detect LLM risks, plus structured output generation

Guards AI models, apps and agents against prompt injection, data leakage and harmful outputs.

Open-source Python library for adding programmable guardrails to LLM-based conversational applications

Microsoft AI service that detects harmful text and image content and screens user input for prompt attacks.

Configurable safeguards for generative AI apps that filter harmful content, redact PII and detect hallucinations.

Guardrails, red teaming and risk management platform for securing AI applications and agents.

AI observability and eval engineering platform where offline evals become production guardrails