Why prompt filtering fails and what to do instead
The article discusses the shortcomings of current prompt filtering methods in AI systems. It emphasizes that the real issue lies in unauthorized instruction transfer rather than merely detecting dangerous vocabulary. A proposed solution involves implementing source-aware authority enforcement to prevent lower-authority sources from issuing instructions.
- ▪Current prompt filtering methods often fail because they focus on dangerous words instead of the source of instructions.
- ▪Attackers can easily bypass keyword filters by using various encoding techniques.
- ▪The proposed solution is to assign trust levels to different content sources, preventing lower-authority sources from issuing instructions.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3935667) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } 9hannahnine-jpg Posted on May 17 Why prompt filtering fails and what to do instead #agents #ai #llm #security Every prompt injection defense I’ve seen makes the same mistake. It asks the wrong question. The wrong question: “Does this prompt contain dangerous words?” The right question: “Is untrusted content trying to become an instruction source?” These are fundamentally different problems. The problem with filtering Keyword filters fail because attackers adapt.
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