Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning
Incident response is currently managed by security operators using predefined playbooks, resulting in slow, labor-intensive security decision-making processes. Consequently, there is a growing need for automated incident response planning. Decision-theoretic approaches based on control, optimization, and reinforcement learning have been proposed to automate such planning tasks with well-grounded approaches, yet most of which, while guaranteeing strong performance, are limited to abstract models
Record details
Published: 3 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Jobs & economy · Agents & autonomy
Retrieved: 4 August 2026
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ethics.ai (3 August 2026), “Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning,” evidence record 16097, https://ethics.ai/record/16097 (originally published by arXiv cs.AI).
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