LATIDIA · Ciberseguridad

Hacia agentes de prueba de penetración seguros impulsados por IA: amenazas de seguridad, barandillas y perspectivas arquitectónicas

arXiv: 2609.16694v1Tipo de anuncio: nuevo Resumen: los agentes autónomos con tecnología LLM están transformando el espacio de pruebas de penetración con flujos de trabajo de seguridad ofensivos dinámicos de varios pasos que requieren una supervisión mínima por parte de

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arXiv:2609.16694v1 Announce Type: new Abstract: LLM-powered autonomous agents are transforming the penetration testing space with dynamic, multi-step offensive security workflows that require minimal supervision by humans. These agents leverage sophisticated reasoning abilities and external security tools to independently carry out reconnaissance, identify vulnerabilities, devise exploitation plans, and perform post-exploitation operations. But the ability to have persistent memory, to take actions in the real world, and to do long-horizon reasoning raises qualitatively different security concerns than traditional chat-based LLM systems. Existing guardrail mechanisms for conversational AI may not be sufficient to secure autonomous AI pentesting agents accordingly. To address these issues, we carry out a comprehensive security analysis on autonomous AI-penetration