Arcjet JavaScript (JS) / TypeScript SDK. Stop bots and automated attacks from burning your AI budget, leaking data, or misusing tools with Arcjet's AI security building blocks.

A comprehensive reference for securing Large Language Models (LLMs). Covers OWASP GenAI Top-10 risks, prompt injection, adversarial attacks, real-world incidents, and practical defenses. Includes catalogs of red-teaming tools, guardrails, and mitigation strategies to help developers, researchers, and security teams deploy AI responsibly.

Open source prompt injection protection for Agents calling tools (via MCP, CLI or direct function calling). Detect and defend against prompt injection attacks. 22MB, CPU-only, < 10ms latency.

PromptMe is an educational project that showcases security vulnerabilities in large language models (LLMs) and their web integrations. It includes 10 hands-on challenges inspired by the OWASP LLM Top 10, demonstrating how these vulnerabilities can be discovered and exploited in real-world scenarios.

AgentWard – Built for all, hardened for OpenClaw.

Arcjet Python SDK. Stop bots and automated attacks from burning your AI budget, leaking data, or misusing tools with Arcjet's AI security building blocks.

Self-hosted AI security proxy. Redact PII, block prompt injection, route to any LLM provider. OpenAI-compatible.

PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization

Protect your LLMs from prompt injection and jailbreak attacks. Easy-to-use Python package with multiple detection methods, CLI tool, and FastAPI integration.

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 multi-layered prompt injection detection system built with Laravel.

A CLI-driven security proxy that scans every HTTP request for threats using the Citadel AI engine — paid per request via the x402 protocol.

Silent dependency injection through AI documentation pipelines. 240 isolated Docker runs proving Context Hub's zero-sanitization MCP server lets poisoned docs compromise developer projects without warning.

Transform any content into 9 platform-native formats or convert between content types — with optional brand voice matching. Supports Twitter/X, LinkedIn, newsletter, Instagram, YouTube Shorts, TikTok, Threads, Bluesky, and podcast. Secure-by-default: includes prompt injection defenses for safe URL and web content processing.

🔥 QFIRE — a prompt firewall for LLM applications (proxy + CLI + benchmark harness) in Rust (100+ firewall rules).

Privacy-first prompt sanitization. Fully local. Zero cloud calls. Fast, smart, and built for real-world AI workflows.

Proxilion is the security layer for the agentic workforce. It turns managed AI agents into governed users by enforcing strict cryptographic boundaries on every API call to SaaS like Google Workspace, Salesforce, or Atlassian.

玄武 Genbu — AI 防禦與保護模組。防止 prompt injection、記憶污染、鏈式攻擊與跨實例污染。基於 LDRIT 設計。

Linux sandbox for Cursor using bwrap and linux namespaces