Why We Built Schrute CTF
As Large Language Models (LLMs) become integrated into critical systems, the risk of Prompt Injection and other AI-specific vulnerabilities grows exponentially. Traditional cybersecurity training often overlooks these semantic layer attacks.
Schrute CTF was created to provide developers, security researchers, and students with a safe, legal sandbox to practice AI Red Teaming. By understanding how to exploit these systems, we can learn how to build more robust defenses.
Educational Goals
Prompt Injection
Understanding how user input can override system instructions and safety filters.
System Design
Learning best practices like Principle of Least Privilege for AI agents.
Data Privacy
Identifying how over-privileged chatbots can leak sensitive database logs.
Defensive Engineering
Moving beyond simple keyword filtering to robust structural defenses.
Ethical Considerations
This platform is for educational purposes only. The techniques demonstrated here should only be used on systems you own or have explicit permission to test.