First reported · updated · 4 reports sentia.community
Analysis · latest
First reported falshaw.de
Prompt Injection Is a Confused-Deputy Problem We Already Solved
Nick Falshaw argues that indirect prompt injection against AI agents is a classic confused-deputy problem — a trusted agent with real authority tricked into misusing it by attacker-supplied content it cannot distinguish from legitimate instructions — and that it cannot be fixed by making models smarter, only contained with network-security-style boundaries. The piece draws on a 2026 study (arXiv:2605.17634) finding direct prompt injection succeeded over 79% of the time against browser agents and Simon Willison's 'lethal trifecta' framing. Details →First reported stackoverflow.blog
AI agents are a confused deputy with the keys to your kingdom
A Stack Overflow analysis frames LLM agents as inherent 'confused deputies' that wield real privileges on behalf of less-privileged requesters, using a described Meta AI support-assistant account-takeover to illustrate how agents carry out permitted operations without verifying who is authorized. It argues agents cannot reliably separate instructions from data, making indirect prompt injection via ingested content the dominant class of agent attack. Details →How the wire is made
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