Shypd.aiThe largest open index of AI toolsprompt-injection-defenses is an Open Source Coding & Development tool that centralizes and summarizes practical and proposed defenses against prompt injection. It covers various defense mechanisms to secure LLM systems.
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prompt-injection-defenses is an open-source repository that compiles and categorizes various practical and proposed defense mechanisms against prompt injection attacks in large language models (LLMs). It offers a comprehensive overview of strategies such as blast radius reduction, which limits the impact of successful injections, and input pre-processing techniques like paraphrasing and retokenization to make adversarial prompts more difficult. The repository also details guardrails and overseers for monitoring inputs and outputs, taint tracking, and secure threads for dual LLM ensembles. It emphasizes the importance of robust security thinking, treating LLM productions as potentially malicious, and implementing least privilege principles for external service calls. This resource is invaluable for developers and security professionals building and securing LLM-powered applications.
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