Cyber AI Competition Unified Platform (CUP)
Empowering the next generation of CyberAI professionals through innovative competitions and hands-on learning experiences.
Cyber AI Competition Unified Platform (CyberCup.AI) is an innovative platform designed and developed at the School of Cybersecurity, Old Dominion University (ODU). CyberCup serves as a unified hub for hosting a diverse range of competitions at the intersection of Cybersecurity and Artificial Intelligence (AI).
In this year's competitions, we have challenges related to security of Large language models (LLM), Model Context Protocol (MCP) and use of AI in Capture the Flag (CTF) competitions. Participants can engage in a variety of challenges including LLM CTF, AI-Assisted CTF, LLM Backdoor attacks, and MCP security.
| Competition | Required Knowledge |
|---|---|
| Competition:CTF | Required Knowledge:Familiarity with traditional CTFs |
| Competition:LLM CTF | Required Knowledge:No technical background |
| Competition:AI-Assisted CTF | Required Knowledge:Familiarity with traditional CTFs and use of LLM agents |
| Competition:LLM Backdoor | Required Knowledge:Good understanding of LLMs |
| Competition:MCP Security | Required Knowledge:Good understanding of LLMs and MCP servers |
Choose your arena and prove your skills across our distinct cybersecurity challenges.
The generous support of our sponsors makes CyberCup.AI possible
School of Cybersecurity
National Security Agency
National Science Foundation