LATIDIA · Ciberseguridad

De la exageración al ROI: un modelo económico para la adopción de LLM en sistemas de información y operaciones de seguridad

arXiv: 2610.33352v1Tipo de anuncio: nuevo Resumen: los modelos de lenguaje grandes (LLM) prometen ganancias significativas de eficiencia en las operaciones de uso intensivo de información mediante la automatización de tareas repetitivas basadas en el lenguaje. Sin embargo, la adopción d

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arXiv:2610.33352v1 Announce Type: new Abstract: Large Language Models (LLMs) promise significant efficiency gains across information-intensive operations by automating repetitive language-based tasks. However, adoption decisions remain largely opportunistic, as organizations struggle to move from pilots to sustainable industrialization. Without systematic economic frameworks, practitioners cannot assess whether LLM investments create value in a given context. This paper develops a general economic model to support informed LLM adoption decisions in operational information systems. Facing high uncertainty, we represent parameters as random variables centered on authoritative benchmarks, and evaluate the model by Monte Carlo simulation across pessimistic-to-optimistic assumptions on LLM efficiency. The ROI distributions show the probability of profitability and the Value at Risk