Keysight Blog

Digital design teams have largely standardized on Visual Studio Code as the daily environment for RTL, SystemVerilog, UVM, Python, and Tcl development. Design data management, the discipline that protects revisions, enables parallel work, and guarantees reproducibility, has traditionally lived in a separate tool with a separate window and a separate mental model.

As custom IC complexity grows, effective design data management inside the design cockpit becomes essential. Join one or both of our two focused webinar sessions to discover how Keysight SOS integrates directly within Cadence Virtuoso and Synopsys Custom Compiler, enabling native version control, IP governance, and collaborative design workflows without disrupting analog and mixed signal development. What you will learn?

December 17, 2025 | 10:00 AM PST Join us to discover how Keysight Design Data Management (SOS) Enterprise Collaboration, as the backbone for modern engineering enterprises, enables teams to build organizational knowledge, secure collaboration, and prepare their data for AI and agentic workflows that drive measurable competitive advantage. The biggest challenges today are managing complexity, ensuring governance, and preparing data for AI. That’s exactly why Keysight SOS becomes critical.

Keysight Design Forum 2025 Taiwan 2025年11月13日(星期四) 9:30 ～17:00 簽到開始 8:30 活動場地與會議室 新竹豐邑喜來登大飯店三樓東館宴會I&II廳 新竹縣竹北市光明六路東一段265號 查看地圖 活動概述 本論壇聚焦高速數位、高頻電路兩大核心領域，誠邀業界頂尖專家蒞臨分享，深入探討當前產業最新設計趨勢，並透過實用仿真案例解析，協助與會者掌握技術應用要點，解決實際研發中的痛點難題。​ 除專家主題討論外，還有資深工程師帶來最新工具的技術演講，同步搭配現場操作演示，直觀呈現工具使用技巧與高效應用方法，讓與會者快速理解新工具的核心價值與實踐場景。​ 本次論壇為一日限定活動，不僅提供「面對面交流」的獨特現場體驗 —— 讓與會者可即時與專家、同行互動請教，更將滿載「設計效率提升策略」與「新技術手法提示」，助力與會者更新知識儲備、優化工作流程，為後續研發工作注入新動能。​我們衷心期待各位業界同仁撥冗參與，共赴這場技術交流盛宴，攜手探索產業技術前沿！ 填問卷抽好禮 全程參與活動並完成問卷，即有機會贏取好禮。敬請把握機會 ~ You...

When Frank Herbert imagined the colossal sandworms of Dune, he named them Shai-Hulud, unstoppable forces that burrow unseen beneath the desert until they surface with devastating impact. Today, the npm ecosystem faces its own Shai-Hulud: a self-replicating worm that is actively spreading across open-source projects, infecting packages, and stealing secrets at scale. This isn’t a one-off incident.

On Semiconductors is a semiconductor company based out of Arizona that has several product lines used in everything including consumer products, automotive, medical, and even military and aerospace. In 2019, they acquired a company by the name of Quantenna that made Wi-Fi SoC’s used in many access points and routers including those used by telecoms in customer deployments.

Langchain-Chatchat is an open-source, locally deployable chatbot framework built on top of LangChain - a popular library for building LLM-powered applications. The project bridges large language models (LLMs) like OpenAI's GPT, Claude or LLaMA with user-uploaded documents or APIs, enabling private, knowledge-driven assistants that can answer natural language questions.

LangChain is a popular framework for building LLM-driven applications. One of its advanced features “GraphCypherQAChain”, allows LLMs to interact with the graph databases (e.g. Neo4j) using text-based natural language. But with this power comes the risk of different security attacks. In June 2024, one critical vulnerability was publicly disclosed within LangChain’s GraphCypherQAChain module which allowed the attacker to perform SQL injection through prompt injection attack.

Satellites, spacecraft, and defense systems rely on complex software ecosystems, often powered by open-source, third-party, and legacy components. Recent events remind us just how vital it is to track, secure, and manage that software supply chain. Vulnerable Third-Party Components in Orbit At Black Hat 2025, researchers exposed alarming vulnerabilities in widely deployed open-source satellite control platforms such as Yamcs, OpenC3 Cosmos, and NASA’s cFS Aquila.

Language models are becoming increasingly powerful, capable of generating detailed, coherent responses across a wide range of topics. To ensure these systems are used responsibly, they are equipped with safety mechanisms that help prevent them from responding to harmful or dangerous prompts. But what happens when those safety systems can be bypassed not through complex exploits, but through ordinary, harmless-sounding language?