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Paper · arXiv

Kairos: Transactional Security Enforcement at the System Boundary for LLM Agents

Large language model (LLM) agents are becoming an integral part of the software development lifecycle, and the capabilities granted to them allow an agent to act with the user's authority on any resource it can access. The reach that gives an agent its utility is equally available to an attacker who can steer it. Anything an agent ingests can carry an injected instruction, and since the model does not reliably distinguish instructions from data, indirect prompt injection should be mitigated by mediating the effects the agent produces. Such mediation faces a structural difficulty. Legitimate work and the first step of an attack often look alike when an individual action is observed, and wh...

AuthorsKristoffer Hempel, Nils Loose, Lorenzo Cavallaro et al.
Primary categorycs.CR
Published13 October 2026
Last updated at source13 October 2026
cs.CRcs.LG
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