---
id: 1171
title: "Inside the AI Red Teaming CTF: What 200+ Players Taught Us About Breaking and Defending LLMs"
source_domain: hackerone.com
source_url: "https://www.hackerone.com/blog/ai-red-teaming-ctf-lessons-llm-security"
published_at: "2025-10-23 14:36"
tags: ["ai-security", "red-teaming", "ctf", "prompt-injection", "jailbreak", "llm-security", "hackerone", "ai-red-teaming", "hack-the-box", "owasp-llm-top-10"]
phying_url: "https://phying.com/item/1171"
lang: en
---

# Inside the AI Red Teaming CTF: What 200+ Players Taught Us About Breaking and Defending LLMs

## Summary

In a 10-day AI red teaming CTF with 217 active players, output manipulation succeeded ~82.5% and data extraction ~74.6%; layered defenses cut completion to ~34% on the hardest multi-step challenge.

## Intelligence Metadata

- **Sources:** hackerone.com
- **Published:** 2025-10-23 14:36
- **Original:** https://www.hackerone.com/blog/ai-red-teaming-ctf-lessons-llm-security
- **Phying News:** https://phying.com/item/1171
