A developer audited their TypeScript agent pipeline against the OWASP LLM Top 10 risks, finding significant vulnerabilities in prompt injection and insecure output handling. The audit revealed that external tool outputs were being directly injected into the model's context without proper sanitization, creating a risk of system prompt overwrites. To address this, the developer implemented structural validation using Zod for incoming data and added explicit sanitization for model outputs before they reach the UI, mitigating potential cross-site scripting (XSS) issues. AI
IMPACT Highlights practical security measures for LLM applications, influencing best practices in agent development.
RANK_REASON Developer's practical application of a security framework to their own codebase.
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