Hacking AI Agents for $20,000
This article outlines a systematic approach to mastering AI application security, consisting of three phases: Understanding current AI models and their architecture, learning to steer language models through prompting, and studying AI attack scenarios with real payloads. The article provides guidance for each phase, including practical payload collections for testing. This article focuses on large language models (LLMs) as the core technology behind AI applications, capable of processing various media types. The lack of proper AI security can lead to vulnerabilities exploitation. Key lesson: Developing a systematic understanding of AI models and attack scenarios is essential for identifying and mitigating vulnerabilities. #BugBounty #AI #ArtificialIntelligence #SecurityResearch







