A curated list of useful resources that cover Offensive AI.
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Updated
Oct 3, 2026 - HTML
A curated list of useful resources that cover Offensive AI.
腾讯云智能渗透黑客松 Official repository of Tencent Cloud Intelligent Penetration Hackathon. Showcasing top open-source projects of LLM-based autonomous penetration agents, including multi-agent collaboration, automated penetration, AI-driven offensive security, and intelligent attack-defense solutions.
This document curates open-source projects, academic papers, capability benchmarks, and commercial solutions (international & China) in AI penetration testing, LLM red teaming, autonomous offensive agents, and vulnerability discovery—aimed at helping researchers, security engineers, and enterprise decision-makers quickly form a holistic view.
Red Team AI Benchmark: Evaluating LLMs for authorized offensive-security tasks
Curated LLM/AI attack tools — prompt injection, jailbreaks, agentic threats, adversarial ML, MCP attack surface
An authorization-first, policy-governed red-team operations platform that turns scoped security testing into safe, auditable, and evidence-ready workflows
Your AI agent has no idea it's been hijacked. AgentGuard does
Hands-on AI security research — LLM threat models, prompt injection testing, and offensive AI techniques. Lab work from HTB COAE and beyond.
Personal notes gathered through continuous study and research in offensive security, primarily AI red teaming. I hope others find it useful.
Autonomous Purple Teaming framework combining agentic penetration testing with dynamic, real-time SOC rule synthesis.
Runtime security fabric for AI agents. Policy-as-code governance with trust segmentation, cognitive velocity detection, behavior chain analysis, and multi-agent identity tracking.
⚡ Executive Portfolio | Fractional CTO & Offensive AI Security Architect | Sovereign Systems & Critical Infrastructure
Personal Portfolio & Security Research Hub | Software Engineer specializing in Python Backend, LLM Security, and Automated Offensive AI.
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