Snowflake 扩展具有商业背景和治理工具的代理AI平台
Snowflake Inc.今天的宣布是人工智能能力的全集，旨在将商业环境，治理和自主发展带入同一个环境，因为企业越来越多地将软件工程和日常业务移交给AI agents.
这些公告在该公司的远征2026虚拟会议期间，包括一个新的商业本体学框架，通过Cortex AI Gateway扩展了agent的治理，以及自动数据工程能力，使得AI agents能够在较少人干预的情况下建造，监控和故障排除数据管道。
公司打赌，随着创作速度的加快，更多的编码师和工程师会在整个软件开发生命周期使用AI，而其他后端部门开始在日常工作中采用agents. 例如，销售业务正在创建agents，可以分析销售风险，为客户拓展做准备而不写代码。
“大赦国际正在使软件的创造工业化。 事实上，它正在将情报产业化。 “一旦花了几个月时间，现在需要数小时、数天甚至数分钟。”
拉马斯瓦米指出，虽然AI正在改变软件开发的经济学，但随着agents接手的任务通常被降格为专业开发者，业务用户成为开发者。 这正在改变竞争环境，这意味着优势不再流向专家，而是转移到专有知识。
Snowflake正通过帮助普通AI模型理解和背景化商业知识来占据这个领域。 它与企业本体学一起这样做，这是其现有语义学观点的延伸，使各组织能够确定整个组织使用的经核准的定义。 没有标准定义，两个agents都可以用不兼容的答案来回答同一个业务相关问题，即使两个agents都有准确的基础数据。
使用来自Business Ontology,Snowflake CoCo，为数据团队编码的agent，以及Snowflake CoWork，为知识工作者的个人作品agent，使用这些经批准的商业概念来支撑他们的响应。
这个新功能目前处于私人预览中，但很快会走向公开预览。
如雇员一样管理agents
Cortex AI Gateway的到来成为一个组织内部agents的单一前门。 它并非全新；Snowflake 推出于2026年7月作为管理和监测agents的集中方式。
今天宣布扩展的能力，新的更新包括agent滥用检测，可观察性和追踪性，Cortex沙盒，AI成本治理，动态模型路由和工具集成使用Snowflake的纳托马收购技术。
agent在你的生意上必须信任，它必须知道三件事：数据意味着什么，哪些数据值得信任
该平台最重要的是将现有的安全机制，包括数据掩蔽和访问限制，应用于agent驱动的操作，同时增加监测活动的能力，发现潜在的滥用，并保持agents所做所为的记录。 信息技术和安全小组也可以采用成本控制，根据效率或准确性选择模型，并限制哪些外部工具agents能够以颗粒方式访问。
这种治理、控制和透明度的基本作用与给予agents雇员同样的作用观察是一致的。 在自治方面给予类似待遇。
Snowflake的推力是在更广泛的行业竞争中产生的，为企业AI agents建立控制层。 SAP一直在扩展其自主企业架构，并治理了Joule agents，而Salesforce则拥有推出其企业AI Harness和AI Control Plane，以确保自主工作流程。 Snowflake正在从数据平台方面接近同样的问题，寻求成为agents获取信任的商业信息并在企业政策下运作的基础。
为专门任务培训较小的模式
Snowflake同时也是Cortex Training的公开预览版宣布，这将使客户能够用自己的专有信息来定制开放量级AI模型。
该服务旨在使使用后培训创建专业模型更加简单，而不需要大量的图形处理单元。 Snowflake让他们在不管理基础基础设施的情况下训练模型。
“专门、规模较小的模型，这些模型具有更有效的反应，反应更快，而且往往具有象征性的成本效益，”
许多企业公司将要求对其自己的AI模型进行主权控制，因为这会增加对外国开放重量AI的限制或处理敏感信息的条例。 比起第三方供应商的云层
另外，Snowflake 宣布是一个与Oracle公司扩大的伙伴关系，使其平台作为Oracle云基础设施上的第一当事方服务提供。 整合将使客户更容易访问Snowflake的分析和AI能力，同时允许它们通过Oracle数据库和应用直接工作。
图片：SiliconANGLE/Microsoft设计师。
SiliconANGLE联合创始人John Furrier的留言：
支持我们的使命，通过与CUBE社区接触，保持内容的开放和自由。 加入CUBE的校友信托网络，其中技术领导者相互连接，分享情报，创造机会。
- 15M+观看CUBE视频，为AI、云层、网络安全等各种对话提供动力
- 11.4k+CUBE校友——通过独特的信任网络与11400多名技术和企业领袖建立联系，塑造未来
你是AWS客户吗？在财务上支持SiliconANGLE，从我们的市场门户页面和链接购买您的AWS服务：https://siliconangle.com/aws-marketplace/.
关于 SiliconANGLE 媒体
SiliconANGLE Media由技术视觉家约翰·弗瑞尔(John Furrier)和戴夫·韦兰特(Dave Vellante)创立，构建了产业领先数字媒体品牌的动态生态系统，达到1500+百万精英技术专业人士。 利用CUBEAi.com神经网络，帮助科技公司以数据为导向做出决策
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
Snowflake expands agentic AI platform with business context and governance tools
Snowflake Inc. today announced a sweeping collection of artificial intelligence capabilities designed to bring business context, governance and autonomous development into the same environment, as enterprises increasingly hand over software engineering and everyday operations to AI agents.
The announcements, during the company’s Expedition 2026 virtual conference, include a new Business Ontology framework, expanded agent governance through Cortex AI Gateway, and autonomous data engineering capabilities that allow AI agents to build, monitor and troubleshoot data pipelines with less human intervention.
The company is betting that more coders and engineers will use AI throughout the software development lifecycle as creation moves even faster, while other back-end departments begin to adopt agents in their day-to-day work. For example, sales operations are creating agents that can analyze sales risks and prepare customer outreach without writing code.
“AI is industrializing software creation. Actually, it’s industrializing intelligence,” Chief Executive Sridhar Ramaswamy said. “What once took months can now take hours, days, or even minutes.”
Ramaswamy noted that while AI is changing the economics of software development, as agents take over tasks usually relegated to specialized developers, business users become developers. This is changing the competitive landscape, meaning that the advantage no longer goes to specialists, but to proprietary knowledge.
Snowflake is taking the field by helping ordinary AI models understand and contextualize that business knowledge. It does this with Business Ontology, an extension of its existing semantic views that lets organizations establish approved definitions used across the organization. Without a standard definition, two agents could respond to the same business-related question with incompatible answers, even when both agents have accurate underlying data.
Using information from Business Ontology, Snowflake CoCo, the coding agent for data teams, and Snowflake CoWork, the personal work agent for knowledge workers, use these approved business concepts to ground their responses.
This new feature is currently in private preview, but is headed to public preview soon.
Governing agents like employees
Cortex AI Gateway arrives to become a single front door for agents within an organization. It is not entirely new; Snowflake introduced it in July 2026 as a centralized way to govern and monitor agents.
Today’s announcement expands its capabilities rather than introducing the gateway for the first time. The new updates include agent abuse detection, observability and tracing, Cortex sandboxes, AI cost governance, dynamic model routing and tools integration using technology from Snowflake’s Natoma acquisition.
“An agent that acts on your business has to be trusted, and it has to know three important things: what the data means, which data to trust, and what it’s allowed to do,” said Ramaswamy.
The platform most importantly applies existing security mechanisms, including data masking and access restrictions, to agent-driven operations while adding capabilities to monitor activity, detect potential abuse and maintain records of what agents do. The information technology and security teams can also apply cost controls, select models based on efficiency or accuracy and restrict which external tools agents can access granularly.
The underlying role of this governance, control and transparency is aligned with giving agents the same sort of role observation granted to employees. Treating them similarly in terms of autonomy.
Snowflake’s push comes amid a broader industry race to establish the control layer for enterprise AI agents. SAP has been expanding its Autonomous Enterprise architecture and governed Joule agents, while Salesforce has introduced its Enterprise AI Harness and AI Control Plane to secure autonomous workflows. Snowflake is approaching the same problem from the data platform side, seeking to become the foundation through which agents access trusted business information and operate under enterprise policies.
Training smaller models for specialized tasks
Snowflake also announced the public preview of Cortex Training, which will allow customers to tailor open-weight AI models with their own proprietary information.
The service is designed to make it simpler to create specialized models using post-training without needing vast arrays of graphics processing units. Snowflake lets them train models without managing the underlying infrastructure.
“Specialized, smaller models that come with more efficient responses, faster responses, and frequently cost benefits in terms of tokens,” Executive Vice President of Product Christian Kleinerman said.
Many enterprise companies will require sovereign control of their own AI models as increasing restrictions on foreign open-weight AI or regulations on handling sensitive information. It’s easier to audit what passes through an AI model on your own hardware than in a third-party vendor’s cloud.
Separately, Snowflake announced an expanded partnership with Oracle Corp. to make its platform available as a first-party service on Oracle Cloud Infrastructure. The integration will give customers easier access to Snowflake’s analytics and AI capabilities while allowing them to work directly through Oracle databases and applications.
Image: SiliconANGLE/Microsoft Designer
A message from John Furrier, co-founder of SiliconANGLE:
Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE’s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.
- 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more
- 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network
Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/
About SiliconANGLE Media
Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.
Auto-fetched and translated by AI Atlas. All rights belong to the original author.