CodeGate: Security, Workspaces and Multiplexing for AI Agentic Frameworks

AiScan-N 来了！这是一款基于人工智能驱动的Ai自动化网络安全（运维）工具，专注于网络安全评估、漏洞扫描、运维、应急响应、渗透测试自动化，Ai大模型工具集【CLI Agent】 ，Ai驱动的安全检测技术，提升安全测试（运维）效率，专为企业和个人用户打造，尤其适合初学者（小白）快速上手使用，让你轻松迈入智能安全攻防时代！适用场景 ：如（红队演练、CTF比赛、Web应用渗透测试、内网横向移动、密码破解与暴力攻击、流量分析与威胁检测、APT攻击模拟、漏洞赏金挑战等场景）🎥演示视频（文章中）：https://mp.weixin.qq.com/s/7lsUdbrxkDy4P5pZhEWv7Q

Break your AI before they do.

Hack AI/ML applications — CTF challenges for model attacks, LLMs and AI Agent exploitation.

Here Comes the AI Worm: Preventing the Propagation of Adversarial Self-Replicating Prompts Within GenAI Ecosystems

Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.

The AI Security Verification Standard (AISVS) focuses on providing developers, architects, and security professionals with a structured checklist to verify the security of AI-driven applications.

Universal preflight security scanner for AI coding agents — Detects hooks injection, credential exfiltration & backdoors in .cursorrules, CLAUDE.md, AGENTS.md and more.

A collection list for Large Language Model (LLM) Watermark

AI runtime inventory: discover shadow AI, trace LLM calls

An interactive CLI application for interacting with authenticated Jupyter instances.

一款集合了常见的漏洞练习平台，利用Ai对靶场进行自动化渗透测试！

Powerful LLM Query Framework with YAML Prompt Templates. Made for Automation

[COLM 2025] JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model

A hybrid AI honeypot for monitoring large scale web attacks

Securing LLM's Against Top 10 OWASP Large Language Model Vulnerabilities 2024

CyberBrain_Model is an advanced AI project designed for fine-tuning the model `DeepSeek-R1-Distill-Qwen-14B` specifically for cyber security tasks.

🤯 AI Security EXPOSED! Live Demos Showing Hidden Risks of 🤖 Agentic AI Flows: 💉Prompt Injection, ☣️ Data Poisoning. Watch the recorded session:

An open-source guide to Python for AI and Machine Learning

It is a pure front-end tool for testing the security boundaries of large language models, helping researchers to find and fix potential security vulnerabilities and improve the security and reliability of AI systems.