Formal verification framework for dataset lineage, policy compliance, and training-time safety guarantees.
-
Updated
Jul 16, 2026 - Python
Formal verification framework for dataset lineage, policy compliance, and training-time safety guarantees.
Safety-aware training and evaluation platform for sequential policies and frontier LLMs under a deterministic policy gate and strict verifier.
Free AI contract review for models and talent — catches exclusivity traps, in-perpetuity image rights, upfront-fee scams, and commission stacking, then tells you exactly what to negotiate. Works with Claude, ChatGPT, Cursor, and 26+ tools.
Gray Swan AI is an AI security company that helps enterprises deploy AI with confidence. Its Cygnal product is a real-time, drop-in secure proxy that fronts LLM providers (OpenAI, Anthropic, and Gemini request formats) with input/output filtering and threat monitoring for jailbreaks and prompt injection, governed by versioned enforcement Policies…
Source, reproduction, and validation for the Bonsai-27B Heretic GGUF LoRA and standalone merge.
Add a description, image, and links to the model-safety topic page so that developers can more easily learn about it.
To associate your repository with the model-safety topic, visit your repo's landing page and select "manage topics."