STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework
Incident response planning is critical for restoring compromised software systems after cyberattacks. Common practice relies on expert-driven playbooks that encode fixed response procedures, but these static workflows struggle to adapt to evolving incident states, changing recovery objectives, and execution feedback. Recent LLM-based planners and tool-using agents improve automation, yet they remain unstable in long-horizon response because they lack a unified basis for maintaining incident stat
Record details
Published: 10 August 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Agents & autonomy
Retrieved: 11 August 2026
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ethics.ai (10 August 2026), “STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework,” evidence record 18008, https://ethics.ai/record/18008 (originally published by arXiv).
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