TechCrunch Disrupt 2026会议计划召开五场AI安全主题讨论会，涵盖企业级Claude部署、AI代理安全、企业AI系统安全、自主系统部署以及机器人数据等核心话题1。该会议将汇聚来自Anthropic、Okta、AWS、NVIDIA等企业的技术领导者，为创业者讲解如何构建可信任的AI产品以实现真实部署1。
会议将于2026年10月13日至15日在旧金山Moscone West举行1。Anthropic应用AI主管Cat de Jong将分享企业Claude部署的成功与失败案例1。Okta产品与技术主管Ric Smith和NanoCo首席执行官Gavriel Cohen将讨论AI代理基础设施级安全问题1。AWS安全服务副总裁Rudy Mitra、Luta Security首席执行官Katie Moussoulis和网络安全专家Wendy Nather将探讨企业AI安全要求1。Shield AI首席技术官Nathan Michael、通用汽车机器人战略总监Mikell Taylor和Waabi创始人兼首席执行官Raquel Urtasun将讨论自主系统安全部署1。NVIDIA物理AI全球主管Les Karpas将讨论机器人数据管道、模拟环境和基础模型的关键作用1。
本次会议预计将吸引10,000多名创业者、投资者和技术领导者参会，汇集250多位演讲者和300多家参展初创公司1。早期注册者如在2026年9月25日23:59 PT前报名，可节省最多200美元的参会费用1。
TechCrunch Disrupt 2026 will host five dedicated sessions focused on artificial intelligence safety, bringing together technical leaders from major companies to guide founders in building trustworthy AI products ready for real-world deployment.1 The conference will take place October 13–15, 2026, at San Francisco's Moscone West, and expects to attract more than 10,000 entrepreneurs, investors, and technology leaders alongside 250-plus speakers and 300-plus participating startups.1 Early registrants who sign up before September 25, 2026, at 11:59 p.m. PT can save up to $200 on admission.1
The five AI safety tracks will address critical deployment challenges across multiple domains.1 Anthropic's applied AI lead Cat de Jong will share case studies of both successful and failed enterprise Claude deployments, while Okta's product and technology chief Ric Smith and NanoCo CEO Gavriel Cohen will examine infrastructure-level security concerns in AI agents.1 AWS Vice President of Security Services Rudy Mitra, Luta Security CEO Katie Moussoulis, and cybersecurity specialist Wendy Nather will explore the evolving security requirements for enterprise AI systems.1
Safety considerations for autonomous systems will be addressed by Shield AI Chief Technology Officer Nathan Michael, General Motors robotics strategy director Mikell Taylor, and Waabi founder and CEO Raquel Urtasun.1 Additionally, NVIDIA's global head of physical AI Les Karpas will discuss the critical roles of robotic data pipelines, simulation environments, and foundation models in physical world applications.1
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