policy-enforcement.html 关键词 policy enforcement 的长期追踪 RSS，汇总历史命中文献。 zh-CN Sun, 28 Jun 2026 05:24:06 +0000 ../papers/arxiv-a3308e8fb0ba.html https://arxiv.org/abs/2606.19135v1#2026-06-18#policy-enforcement Thu, 18 Jun 2026 14:03:08 +0800 As large language models (LLMs) advance and multi-agent systems aim to overcome the limits of standalone agents, robust communication protocols are becoming essential infrastructure for distributed agent networks. Nonetheless, the fragmented protocol landscape presents a significant interoperability challenge. This study develops a technical taxonomy to classify and analyze LLM agent communication protocols. Following an established iterative method, we defined the taxonomy's purpose, meta-char… ../papers/arxiv-ffd6eadae965.html https://arxiv.org/abs/2606.02862#2026-06-03#policy-enforcement Wed, 03 Jun 2026 14:09:56 +0800 The rise of Large Language Models (LLMs) has enabled agentic AI capable of complex reasoning and tool use; however, deploying such autonomy in pervasive computing environments remains challenging due to the strict memory and energy constraints of embedded microcontrollers. Existing frameworks typically assume server-class resources or continuous connectivity, leaving a gap for deeply embedded systems. This paper proposes a modular reference architecture for Embedded Agent Systems that bridges t… ../papers/arxiv-e28826427498.html https://arxiv.org/abs/2605.19604#2026-05-20#policy-enforcement Wed, 20 May 2026 13:10:58 +0800 Large Language Model (LLM) agents increasingly act inside real workspaces, where tools and skills determine whether model reasoning becomes reliable action. Existing skills remain largely informal: Markdown skills and instruction packs encode procedures as long natural-language documents, while function calling, Model Context Protocol (MCP) servers, and framework tools structure individual actions but usually leave workflow state, policy enforcement, and completion discipline outside the skill… ../papers/arxiv-e2b5a83fdb88.html https://arxiv.org/abs/2604.25555v1#2026-04-29#policy-enforcement Wed, 29 Apr 2026 12:26:28 +0800 Enterprise software engineering is shifting away from deterministic CRUD/REST architectures toward AI-native systems where large language models act as cognitive orchestrators. This transition introduces a critical security tension: probabilistic LLMs weaken classical mechanisms for validation, access control, and formal testing. This paper proposes the design, formal validation, and empirical evaluation of a Semantic Gateway governed by the Model Context Protocol (MCP). The gateway reframes th… ../papers/arxiv-558f38b55608.html https://arxiv.org/abs/2604.21860v1#2026-04-24#policy-enforcement Fri, 24 Apr 2026 11:46:20 +0800 Large language models (LLMs) are increasingly integrated into sensitive workflows, raising the stakes for adversarial robustness and safety. This paper introduces Transient Turn Injection(TTI), a new multi-turn attack technique that systematically exploits stateless moderation by distributing adversarial intent across isolated interactions. TTI leverages automated attacker agents powered by large language models to iteratively test and evade policy enforcement in both commercial and open-source…