Supporting Design Decisions in Rule-Based Model Transformations
2026-06-19T08:51:54Z•30f1a48d54d742a30f42e0d6f839bb38e46f1fb952f396d1a2b159b02ef0db02
AI-agentsAIBOMCLICSAFDevOpsJustDiagLLM-assisted-hardwareLLM-hallucinationRCASBOMVEXagent-harnessagent-safetyconcurrencyformal-methodshardware-securitylatencymobile-agentsmonitor-calibrationorchestrationreproducibilityruntime-monitoringsigned-advisoriessupply-chain-security
What happened
This collection of arXiv papers (June 19 2026) highlights multiple security-relevant advances and risks in agentic/LLM-driven software and systems. Key points: (1) AgentArmor identifies three root mechanisms for dangerous coding-agent failures (underspecification, capability errors, harness errors) and demonstrates practical mitigations (extended system prompt, command classifier, “3 strikes” policy, deterministic guardrails, self-editing tools) that significantly reduce unsafe behavior. (2) DynAMO presents a plan-then-execute orchestration engine for LLM agents that preserves functional/cross
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 30f1a48d54d742a30f42e0d6f839bb38e46f1fb952f396d1a2b159b02ef0db02
- Enrichment time
- 2026-06-19T08:51:54Z
- AI-assisted enrichment
- Yes
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