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Prismata tackles cross-site prompt injection in autonomous web agents
Autonomous web agents automate browsing but face risks from cross-site prompt injection, where untrusted content hijacks agents via natural language instructions. Prismata proposes methods to confine this attack vector by addressing the mixing of trusted and untrusted content.
As web agents become more common, securing them against prompt injection is critical to prevent malicious control and protect user data. Prismata's approach targets a key vulnerability inherited from traditional cross-site scripting attacks.
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