Inside Agent Breaker: Building a Real-World GenAI Security Playground

Agent Breaker is a GenAI security platform designed to model real-world vulnerabilities in AI systems through a series of gamified challenges that double as research testbeds. Created by Lakera, it simulates various attack scenarios on mock agentic AI applications, such as data poisoning and prompt injections, to expose inherent weaknesses and test defenses. The platform includes ten levels of increasing difficulty, each reflecting realistic threat landscapes, and is scored using a comprehensive set of metrics that measure the success and impact of different attack vectors. It serves as both an educational tool for security engineers and a competitive arena for red teamers, offering a leaderboard system across various foundational models like GPT-4 and Claude 3.7. By providing a controlled environment for stress-testing AI applications, Agent Breaker aims to generate actionable data that informs better security measures and guardrails, while also fostering a global community of over 100,000 participants who contribute to the continuous improvement of GenAI security practices.