大型语言模型(LLMs)安全保护的综合参考资料。涵盖OWASP生成式AI十大风险、即时注入、对抗性攻击、现实世界事件及实用防御。包含红队工具、防护措施和缓解策略目录,帮助开发者、研究人员和安全团队负责任地部署人工智能。
llm-security-compliance-prompt-injection 开源项目推荐(25 个)
llm-security-compliance-prompt-injection 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 25 个仓库A professional AI security range for red teaming, vulnerability research, defensive validation, and hands-on AI/ML security training.
Basilisk — Open-source AI red teaming framework with genetic prompt evolution. Automated LLM security testing for GPT-4, Claude, Grok, Gemini. OWASP LLM Top 10 coverage. 32 attack modules.
Zero-code LLM security & observability proxy. Real-time prompt injection detection, PII scanning, and cost control for OpenAI-compatible APIs. Built in Rust.
Neural Adversarial Agent Mutation-based Security Evaluator
Veil Armor is an enterprise-grade security framework for Large Language Models (LLMs) that provides multi-layered protection against prompt injections, jailbreaks, PII leakage, and sophisticated attack vectors.
Apache 2.0 AI endpoint monitoring for shadow AI, ghost AI assets, and unmanaged LLM usage.
Security middleware for AI Agents. Intercepts shell commands before execution using a multi-layer pipeline: binary allowlist, regex patterns, deterministic intent coherence mapping, and LLM semantic check as last resort.
Detect and sanitize prompt injection attacks in Rails apps. Protects against direct injection (users hacking your LLMs via form inputs) and indirect injection (malicious prompts stored for other LLMs to scrape). ~70 detection patterns across 7 attack categories with configurable sensitivity levels. Now includes resource extraction detection pattern
A high-performance Python SDK for protecting LLMs against Prompt Injection attacks in Arabic, Egyptian Dialect, and Franco. Combining Rule-based and AI-driven security layers.
A fail-closed runtime security layer for AI agents with prompt injection detection, tool-call protection, PII/secret sanitization, HITL controls, and output validation.
Sub-millisecond Deterministic AI Governance Middleware & Zero-Data Intent Architecture.
Advanced configuration of toolings, skills, and markdowns for automated code review and security auditing in vibe-coded applications.
A technical research repository focusing on AI jailbreak mitigation, prompt injection vulnerabilities, and system-level security guardrails for LLMs.
Security scanner and runtime policy gateway for MCP servers
Robustness and jailbreak evaluation framework for Arabic LLMs (e.g., Jais, AceGPT, ALLaM, Gemini). Evaluates cross-format safety alignment across Standard Arabic, Arabizi, and English transliteration with automated LLM judging and scalable Modal GPU execution.
A governed range for testing AI agent defenses: Agent Theater’s earned-trust tiers and human oversight, plus an adversarial arena that attacks each OWASP Top 10 for Agentic Applications risk. Measured results, honest gaps, and what it would take to close them.
Risk-Aware Introspective RAG (RAI-RAG) is a safety-aligned RAG framework integrating introspective reasoning, risk-aware retrieval gating, and secure evidence filtering to build trustworthy, robust, and secure LLM and agentic AI systems.
Automated LLM Red Teaming
Reference implementation of a guardrailed, EPSS/KEV-driven CVE triage pipeline that threat-models its own LLM against prompt injection.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/llm-security-compliance-prompt-injection。
- 该话题在 GitHub 上共有 25 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 502 Star,覆盖 5 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。