Box 发布 Box Architect 与 NVIDIA 合作上下文检索
In just the past few years, AI models have gotten unbelievably good at reasoning, logic, multimodal capabilities, tool use, computer use, and deeper domain expe
Box 在 BoxWorks 上发布 Box Architect，可自主构建、测试、优化并运行内容工作流，同时更新 Box Agent、Box Automate、Extract 与 Box Apps。与 NVIDIA 合作推出的 Box Context Retrieval 结合关键词与语义混合搜索并遵循 Box 权限，内部测试显示准确率提升 20%、token 效率提升 90%、回答速度提升 4 倍。Box 还强化 Box Shield，新增威胁检测与智能体安全能力，可识别异常下载、会话与智能体活动并触发下载限制、二次验证等响应。
查看原帖隆重推出 Box Architect。 描述一个流程或目标。Architect 将利用 Box 中的内容和流程来设计工作流、构建其智能体和应用，并推荐改进方案——关键决策环节由人员参与。 在此了解更多：https://t.co/8ATxAIukMl https://t.co/rP1IY7XdzM
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Introducing Box Architect. Describe a process or goal. Architect will use content and procedures in Box to design the workflow, build its agents and apps, and recommend improvements—with people involved at key decisions. Learn more here: https://t.co/8ATxAIukMl https://t.co/rP1IY7XdzM
正文
In just the past few years, AI models have gotten unbelievably good at reasoning, logic, multimodal capabilities, tool use, computer use, and deeper domain expertise across nearly every high-value area of knowledge work. And inside the AI labs, there is now the view that we are reaching a form of recursive self-improvement, where AI itself is helping discover and drive research breakthroughs in model training, which means that you get faster and faster progress with every generation.
Combined, this means that we can finally deploy AI at some of the hardest problems in enterprises. We are no longer in a period where living at the frontier is just having a conversation with an AI assistant and getting a quick answer back, but instead being able to deploy AI agents across highly complex domains in an enterprise and letting the agents go off and work as long as they need to complete the task. As a result, AI agents will increasingly be deployed behind the scenes in nearly every workflow in an enterprise, including areas like automating client onboarding, accelerating drug discovery pipelines, reducing risk in an enterprise by reading every critical contract, analyzing research data to accelerate product development, and much more.
Now, to do this, AI agents need to know everything about the business they're being used in. They are inherently trained on either the public internet or privately acquired data sources. What they don't know about are the unique aspects of your organization. A company's unique product roadmap, financial decisions that were made in a planning process, contractual terms that they signed with clients, research breakthroughs that are happening somewhere in the organization, and all of the other elements that are living inside of our enterprise data. Critically, that information lives inside of our unstructured data, which represents 90% of the corporate information that companies create, store, and work with.
For companies to stay competitive in the 21st century, they will need to figure out how they can uniquely apply this context, combined with their people and processes, with these new superintelligent AI systems. We are truly at the dawn of a new era of how industries will operate, and the way we manage and work with our information sits at the very center of this.
Today, at BoxWorks, we're making 3 major announcements around the Box platform to change how enterprises work with their unstructured data and AI:
1) Box Architect, a new way to autonomously build out workflows and management content
2) Box Context Retrieval, a new platform capability designed in partnership with NVIDIA to give agents exactly the context they need to do important work
3) All new threat detection and security capabilities to help protect how agents leverage unstructured data
Starting with Box Architect. AI is not just about helping us be more productive as individuals, but it can truly change how we run and operate the ongoing workflows in our enterprises. We are now confident that AI can help improve an organization's processes and workflows far faster than was ever possible before. What if we could take the same frontier intelligence that AI labs are using to develop their own models, drive math and bio breakthroughs, or code the most advanced software in the world, and use this frontier AI to help improve our customers' workflows in Box?
Most businesses are held back by their access to the talent and resources to help automate and streamline their workflows. We have far more processes inside of companies than the people and time to help automate that work. And because AI is trained on the broadest sets of knowledge and domain expertise, what if you could actually use AI to not just automate your existing processes, but fundamentally redesign them and reinvent them in a way far better than how they are run today? And taking this even further, what if AI could actually help tune and optimize those workflows and processes over time, just as an industry or technical expert might within your organization?
This is Box Architect. With Box Architect, enterprises get the full power of frontier AI to autonomously build, test, optimize, and run their content-centric processes. Box Architect effectively acts as an agentic operator of Box's core content and workflow capabilities -- like Box Apps, Automate, Forms, Doc Gen, Agents, and more -- to help customers design any content workflow in Box. Along with major updates to our Box Agent to handle much longer-running and more complex work, new Box Automate features for advanced workflows, new Extract optimization capabilities, and Box Apps components to power more comprehensive no-code apps in Box, Architect will help accelerate our customers' transformation of their content workflows with AI.
Next up, we're announcing a new partnership with NVIDIA to help power advanced Context Retrieval in Box. Box's new Context Retrieval platform capability delivers hybrid search functionality which combines keyword and semantic search to deliver better results for agents, and respects Box user permissions so agents only retrieve what the user is allowed to access. Internal testing shows our new Context Retrieval functionality delivers a 20% improvement in accuracy, a 90% increase in token efficiency, and 4X faster answers, giving customers a secure and governed way to connect AI (both Box Agents, as well as external agents via MCP, CLI, or our direct APIs) to enterprise content that is more accurate, faster, and more cost-effective.
Finally, major hacks and rogue agents show the reason why enterprises must better protect their crown jewels. We're doubling down on Box Shield to secure content against emerging cyber threats, AI-accelerated attacks, and agent sprawl. New Box Threat Detection and Box Agent Security enhancements will detect anomalous downloads, sessions, and agent activity; enable adaptive responses like download restrictions, step-up verification, and session termination; and introduce agent security controls including classification-based access, MCP guardrails, threshold-based alerts, and audit trails of agent activity.
We're just at the beginning of a new era of how we work with our information. Stay tuned for far more!