An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations
Regulated cybersecurity workflows lack a runtime substrate that enforces organization-level scope across retrieval, tool calls, memory, findings, reports, and audit while remaining model-agnostic and locally deployable. Recent large language model (LLM) agent systems report strong results on isolated cybersecurity tasks, yet they do not by themselves define an auditable platform architecture for regulated security operations centre (SOC) and compliance workflows, where a single analyst may trigg
Record details
Published: 28 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy · Transparency
Retrieved: 14 July 2026
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ethics.ai (28 May 2026), “An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations,” evidence record 3476, https://ethics.ai/record/3476 (originally published by arXiv).
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