Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...
此前七篇文章，我们构建了一个功能完备的 Agent 框架：多渠道接入、自主推理、技能注入、多智能体协作、长短期记忆以及安全的工具沙箱。然而，所有这些能力若缺少一个坚实的安全底座，就无法真正应用于企业环境。企业 Agent 与个人助手最根本的区别在于信任模型：前者默认不信任任何人，后者默认信任机主。
如果你正在用WebSocket给LLM应用做token流式传输，上面这些坑你大概率踩过。WebSocket确实能干活，但它带来的麻烦也不少：连接 ...
在上篇文章手把手构建企业级 Agent 框架：从 OpenClaw 架构到自主实现中，我们剖析了 OpenClaw 的架构骨架，并搭建了一个包含 Gateway、Agent、Skill 的最小原型。今天，我们将深入框架的“咽喉要道”——Gateway 网关。如果说 Agent 是大脑，那么 Gateway 就是整个系统的 ...
ABSTRACT: Modern Security Operations Centers (SOCs) face the dual challenge of identifying zero-day threats in high-throughput network streams and mitigating analyst alert fatigue. This paper proposes ...
Large language models are capable of summarizing research, supporting clinical reasoning, and engaging in coherent conversations. However, their inputs are limited to user-generated text, which ...
Abstract: The rapidly growing development of AI-generated voice synthesis is increasing the threat of deepfake audio on real-time communication platforms. Traditional deepfake detection systems, which ...
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