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Awesome GitHub RepositoriesLLM Safety Enforcers

Applies jailbreak, PII, hallucination, and prompt controls at the routing layer to block unsafe or non-compliant content.

Distinct from Compliance Enforcement: Distinct from Compliance Enforcement: focuses on LLM-specific safety threats (jailbreaks, hallucinations) rather than license compliance.

Explore 3 awesome GitHub repositories matching security & cryptography · LLM Safety Enforcers. Refine with filters or upvote what's useful.

Awesome LLM Safety Enforcers GitHub Repositories

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  • nvidia/nemo-guardrailsNVIDIA 的头像

    NVIDIA/NeMo-Guardrails

    6,453在 GitHub 上查看↗

    NeMo-Guardrails is a toolkit for adding programmable safety constraints and dialogue boundaries to large language model conversational systems. It functions as security middleware that intercepts inputs and outputs to block prompt injections, jailbreaks, and sensitive data leaks, while providing a conversational dialogue manager to define structured interaction flows through configuration files. The framework includes a hallucination filter to screen model outputs for factual accuracy and a specialized modeling language for defining conversational flows and constraints. It provides capabiliti

    Filters user inputs and model outputs to block jailbreaks, PII, and prohibited content.

    Python
    在 GitHub 上查看↗6,453
  • vllm-project/semantic-routervllm-project 的头像

    vllm-project/semantic-router

    3,205在 GitHub 上查看↗

    Enforces safety and compliance by blocking jailbreak, PII, and hallucination threats at the routing layer.

    Goai-gatewaybert-classificationfine-tuning
    在 GitHub 上查看↗3,205
  • protectai/llm-guardprotectai 的头像

    protectai/llm-guard

    2,561在 GitHub 上查看↗

    LLM Guard is a security firewall and guardrail framework designed to scan and sanitize inputs and outputs for large language models. It functions as a proxy gateway and security layer to block prompt injections, toxicity, and sensitive data leakage while ensuring that model interactions remain compliant with organizational policies. The system distinguishes itself through a modular scanner pipeline that utilizes local model orchestration to eliminate external network dependencies. It supports real-time security filtering via streaming chunk analysis and implements a fail-fast execution model

    Acts as an HTTP API that moderates interactions by enforcing security and compliance policies.

    Pythonadversarial-machine-learningchatgptlarge-language-models
    在 GitHub 上查看↗2,561
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