Meta Muse case shows how malicious web content can hijack AI agents

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Indirect prompt injection is a security flaw where attackers embed malicious instructions into data an AI agent consumes, such as web pages or documents. Unlike a traditional program that treats this as inert data, an AI agent interprets the content as language and may act on hidden commands. This can lead to unauthorized actions like accessing private files or sending data externally. The Meta Muse security architecture case study highlights the need for systems to treat all external data as untrusted by default.

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