Combined Cloud + AI Threat Model Framework Mapping Reference: A layered threat model for an AWS-hosted agentic AI system, with every threat mapped to current AI-security frameworks and version-pinned for citation integrity.

This reference maps each threat in the cloud + AI threat model to four published security frameworks, so the model speaks the same language a reviewer or auditor already uses. The four frameworks, in plain terms: • OWASP Top 10 for LLM Applications (2025) — the ten highest-priority risks for systems built on a large language model. A risk-priority list. • OWASP Top 10 for Agentic Applications, “ASI” (2026) — the equivalent list for autonomous agents that plan, call tools, and act. It adds risks that only appear once a model can take actions on its own. • MITRE ATLAS (v5.4.0) — a catalogue of real adversary techniques against AI systems, written the way MITRE ATT&CK catalogues conventional attacks. Each technique has an identifier in the form AML.TXXXX. • NIST AI Risk Management Framework (AI RMF 1.0) and the Generative AI Profile (AI 600-1) — the U.S. governance structure for managing AI risk, organised around four functions: Govern, Map, Measure, and Manage.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20723503
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Combined Cloud + AI Threat Model Framework Mapping Reference: A layered threat model for an AWS-hosted agentic AI system, with every threat mapped to current AI-security frameworks and version-pinned for citation integrity.

Narnaiezzsshaa Truong
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Combined Cloud + AI Threat Model Framework Mapping Reference: A layered threat model for an AWS-hosted agentic AI system, with every threat mapped to current AI-security frameworks and version-pinned for citation integrity.

Narnaiezzsshaa Truong
article en

Abstract

This reference maps each threat in the cloud + AI threat model to four published security frameworks, so the model speaks the same language a reviewer or auditor already uses. The four frameworks, in plain terms: • OWASP Top 10 for LLM Applications (2025) — the ten highest-priority risks for systems built on a large language model. A risk-priority list. • OWASP Top 10 for Agentic Applications, “ASI” (2026) — the equivalent list for autonomous agents that plan, call tools, and act. It adds risks that only appear once a model can take actions on its own. • MITRE ATLAS (v5.4.0) — a catalogue of real adversary techniques against AI systems, written the way MITRE ATT&CK catalogues conventional attacks. Each technique has an identifier in the form AML.TXXXX. • NIST AI Risk Management Framework (AI RMF 1.0) and the Generative AI Profile (AI 600-1) — the U.S. governance structure for managing AI risk, organised around four functions: Govern, Map, Measure, and Manage.

Zenodo (CERN European Organization for Nuclear Research)
American Rock Mechanics Association (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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Combined Cloud + AI Threat Model Framework Mapping Reference: A layered threat model for an AWS-hosted agentic AI system, with every threat mapped to current AI-security frameworks and version-pinned for citation integrity. — Narnaiezzsshaa Truong · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS