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New economic model aids LLM adoption decisions in security operations

A new economic model has been developed to help organizations make informed decisions about adopting Large Language Models (LLMs) for information systems and security operations. The model uses Monte Carlo simulations to evaluate the return on investment (ROI) under various assumptions about LLM efficiency and costs. Initial applications to Security Operations Centers (SOCs) indicate that profitability is highly context-dependent, often requiring high accuracy and low uncertainty in deployments, with error costs and model pricing being secondary factors. AI

IMPACT Provides a quantitative framework for organizations to assess the financial viability of LLM integration, potentially guiding strategic investments in AI technologies.

RANK_REASON The cluster contains an academic paper detailing a new economic model for LLM adoption. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New economic model aids LLM adoption decisions in security operations

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13 / 100
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The cluster contains an academic paper detailing a new economic model for LLM adoption. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, product, infra
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High
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pellegrino Casoria, Andrea Araldo, Rosario Patan\`e, Simon Pietro Romano ·

    From Hype to ROI: An Economic Model for LLM Adoption in Information Systems and Security Operations

    arXiv:2610.33352v1 Announce Type: cross 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 st…