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New Approach to Secure Web Agents Against Prompt Injection Attacks
Researchers propose defenses that ensure strict isolation between trusted instructions and untrusted data to prevent prompt injection attacks. While this separation is natural in text-based APIs, extending it to web agents presents significant challenges.
As web agents increasingly interact with untrusted content, securing them against prompt injection is critical to maintaining reliable and safe AI operations. This work addresses foundational security guarantees necessary for trustworthy web-based AI agents.
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Score 74
Source Type arxiv
Reposts 0
Topic Quality 61
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