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Large Language ModelsarXiv cs.AIPublished: Apr 22, 2026, 13:00 JST

Researchers expose critical flaw in AI agents: tools can be poisoned to trick them into trusting false information

Researchers from arXiv published a study identifying a vulnerability they call Adversarial Environmental Injection (AEI), where attackers can corrupt the data that AI agents rely on—search results, reference materials, and other external sources—to deceive the AI into accepting false information as fact.

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