全栈 AI 红队测试平台,通过 Agent Scan、Skills Scan、MCP 扫描、AI Infra 扫描和 LLM 越狱评估来保障 AI 生态安全。
prompt-security 开源项目推荐(92 个)
prompt-security 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 92 个仓库The fastest Trust Layer for AI Agents
Leaderboard Comparing LLM Agent Security on System Prompt Leakage and Attack Probes
Open-source prompt injection detector: 5 fused layers, offline, ~50ms. F1 82.9% in-sample / 84.2% ± 1.5% out-of-sample (leakage-audited). Apache 2.0
Lokale Werkbank zum Prüfen, Vergleichen und Härten von Skills für KI-Coding-Agenten.
A Pi extension that replaces sensitive data with realistic placeholders before it reaches the LLM provider, then restores it locally for users and tools.
Zero-LLM deterministic jailbreak regression benchmark: runs a repeatable battery of known-pattern attacks against an LLM endpoint and scores refusal/partial/compliance across runs. Catch when a model or prompt update silently got weaker. Single-turn, responsible-use. pip install hermes-jailbench
Extensible Go microkernel for LLM guardrails, quota enforcement and policy plugins.
Universal Prompt Security Standard (UPSS): A framework for externalizing, securing, and managing LLM prompts and genAI systems, inspired by and extending OWASP OPSS concepts for any organization or project.
🚀 Unofficial Node.js SDK for Prompt Security's Protection API.
LLM Penetration Testing Framework - Discover vulnerabilities in AI applications before attackers do. 100attacks + AI-powered adaptive mode.
Mithra Scanner is an interactive API testing tool for prompt injection, refusal detection, and LLM security benchmarking. It supports YAML-based rule definitions, custom refusal lists, REST API integration, and provides detailed CLI output for security testing of language model endpoints.
CloakPrompt is a CLI tool that redacts secrets (passwords, API keys, credentials, etc.) before sending data to AI models.
Privacy-first prompt sanitization. Fully local. Zero cloud calls. Fast, smart, and built for real-world AI workflows.
The enterprise AI governance and safety control plane for AI agent prompts
Local Rust proxy that redacts secrets from prompts sent to AI coding agents (week-1 risk-validation scaffold)
Lightweight AI security framework for prompt validation, output scanning, risk scoring, sensitive data detection, and Zero Trust policy enforcement.
Local-first sanitizer for scripts, logs, prompts, and support text — clean secrets, hostnames, and org-specific terms on your device before sharing. PowerShell-aware Portfolio-code mode keeps sanitized code readable. Windows, Linux, and a live browser demo.
Static analysis CLI that scans codebases for LLM prompt-injection, data-exfiltration, jailbreak, and unsafe agent/tool vulnerabilities. Runs fully offline, integrates with CI/CD, and outputs console, JSON, and SARIF reports.
Fuller 7-Layer Agentic AI Security Framework (F7-LAS)
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/prompt-security。
- 该话题在 GitHub 上共有 92 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 7699 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 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。