Multi-Aspect Runtime Verification for Simulation-Based V&V of LLM-Enabled Autonomous Agents

arXiv:2610.08928 · cs.CR, cs.AI, cs.LO · Submitted 2026-10-06 · Read on arXiv

cs.CR, cs.AI, cs.LO

Submitted: 2026-10-06

Updated: 2026-10-06

Comments: 28 pages, 2 figures, 2 tables. Accepted at Modelling and Simulation for Autonomous Systems (MESAS 2026), to appear in Springer LNCS

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 1× in this paper · explained in 2 episodes

Sources

• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
• STAC: When Innocent Tools Form Dangerous Chains for LLM Agents
• Progent: Securing AI Agents with Privilege Control
• GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning
• SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents

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