LATIDIA · Ciberseguridad

Conteniendo el operador autónomo: un marco de defensa en profundidad y una arquitectura de referencia para proteger a los agentes de IA en Kubernetes

arXiv: 2610.02861v1Tipo de anuncio: nuevo Resumen: los agentes del modelo de lenguaje grande (LLM) se están moviendo de las interfaces de chat a las operaciones de infraestructura, donde leen telemetría, llaman a herramientas, generan y ejecutan código y chan

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arXiv:2610.02861v1 Announce Type: new Abstract: Large language model (LLM) agents are moving from chat interfaces into infrastructure operations, where they read telemetry, call tools, generate and execute code, and change the state of production Kubernetes clusters. This collapses a boundary that conventional cloud-native security assumes: the boundary between data and control. Content that an agent merely reads (a log line, a ticket, a tool description) can redirect what it does. This paper argues that the model must not be treated as a security boundary and that agent safety on Kubernetes is therefore an infrastructure problem: every guarantee must continue to hold under the assumption that the agent is fully compromised