LATIDIA · Ciberseguridad

Una exploración de los ataques a los sistemas de agentes de IA

arXiv: 2610.12524v1Tipo de anuncio: nuevo Resumen: A medida que los agentes autónomos de IA se integran más en dominios sensibles, es crucial que los sistemas de IA de un solo agente y de múltiples agentes estén protegidos. Este documento investiga qué tan rápido

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arXiv:2610.12524v1 Announce Type: new Abstract: As autonomous AI agents become more integrated into sensitive domains, it is crucial that single and multi-agent AI systems are secured. This paper investigates how prompt injection attacks can exploit both direct user inputs and inter?agent communication to leak sensitive information and trigger cross-agent infections. While our tests mostly highlight key vulnerabilities in single-agent systems, we also extend these attacks to multi-agent frameworks, investigating how weaknesses can propagate across agents. Our findings emphasize the need for more robust defenses as AI agents become more commonly embedded in real-world workflows.