A Proposal for an Agentic AI Architecture to Support Multi-Domain Decision-Making in the Brazilian Armed Forces
cs.AI, cs.MA
Submitted: 2026-09-17
Updated: 2026-09-17
Comments: This paper was accepted for publication in the XXVIII SIGE (Simpósio de Aplicações Operacionais em Áreas de Defesa)
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
- Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety
- The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break
- MalTool: Malicious Tool Attacks on LLM Agents
- A Framework for Formalizing LLM Agent Security
- On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
- SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
- Preventing Prompt Injection with Type-Directed Privilege Separation
- Prompt Injection Attack to Tool Selection in LLM Agents
- AgentWatcher: A Rule-based Prompt Injection Monitor
- Meta-SecAlign: Training LLMs against Prompt Injection for Robust Agents
- Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
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