Box

Ready to transform how your teams find and share knowledge? Box Hubs + AI is leveling up, and we’re giving you an inside look. Join us on March 25 for a live roundtable where our product experts will unveil the latest enhancements to Box Hubs. We’ll cover: 👉Embeddable Box AI for Hubs Q&A 👉Embeddable Box Hubs for Salesforce 👉Roadmap updates 👉Live demo of use cases Register: events.box.com/box-webinars/u…

Traditional security architecture reviews can't keep pace with AI-driven development. We're solving this with automated threat modeling that produces machine-readable security intelligence—moving from bottleneck to integrated capability at product velocity. Learn more. blog.box.com/5-big-cybersec…

.@USUAggies achieved 99.7% accuracy processing 2,500+ financial documents with Box Extract, eliminating manual data entry across 55 campuses. The university now runs automated workflows that transform unstructured documents into audit-ready records in seconds. Learn how they did it: blog.box.com/utah-state-uni…

Learn more. blog.box.com/box-teams-nvid…

Box +@NVIDIA Agent Toolkit = The secure infrastructure your autonomous workforce needs. 90% faster RFPs. 87% faster contracts. 100% governed.

The Box CLI turns Box into a cloud file system for agents. In our demo, @claudeai Code uses it to: → extract metadata from docs → write it back to files → generate a summary spreadsheet All via simple prompts, directly in Box. npm install --global @box/cli

Watch the full episode: youtube.com/watch?v=RJ8_3h…

In our latest Partner Podcast, Jeanette Gessler, VP of Box Consulting, Mike Carlino from @Deloitte, and Shivani Majewski from @DeloitteDigital, dive into the challenges of governing unstructured data. Timestamps 01:08 Data readiness and the importance of foundation for AI 05:58 Leveraging unstructured data and its governance 07:26 The role of clean and structured data in improving client satisfaction 08:39 Adoption and the importance of change management in integrations 11:54 Importance of reliable, clean data in AI use cases 12:35 Insights into practical applications for business improvement 13:12 Successful AI use cases in regulated industries like insurance and banking 16:51 The buzz around AI agents and moving toward practical AI use cases 19:00 How clients react when data is unlocked and actionable 22:12 Tailoring solutions to clients based on maturity and needs

Today, we’re announcing Harvey’s @Box integration. This lets users bring documents directly into Harvey Assistant, Workflow agents, and Vault, so teams can review files, surface key provisions, and draft analysis without moving sensitive documents between tools.

Ohhhh, Box CLI 👀

Marx Okubo transformed 10,000+ lengthy property reports from inaccessible archives into actionable insights using Box AI. What was "prohibitively costly" before is now automated—extracting data from 90+ page reports in minutes, not hours. Learn how they did it: blog.box.com/marx-okubo-sla…

The new Box CLI is here - built for both developers and AI agents. Authenticate, automate workflows, and give your agents direct access to Box content from the terminal. Dive in to unlock the future of automation: blog.box.com/box-cli-conten…

Box is teaming up with @nvidia to close a critical gap in enterprise AI agent infrastructure — giving agents the access they need to be productive, with the security controls that make them safe to deploy. As part of the NVIDIA Agent Toolkit, NemoClaw and OpenShell enable a secure runtime for autonomous agents. Box plugs in as the governed file system — giving agents the content access they need while enforcing the permissions, compliance, and audit trails enterprises require. Here's what Box + Agent Toolkit unlocks for your agent strategy: →A modern integration pattern built for autonomous agents →Content security with Box governance and runtime enforcement with OpenShell Gateway and Policy Engines →Pre-built Box Skills and integration with the Box file system via the Box CLI →Auditability and security at enterprise scale Find out more → blog.box.com/connecting-ope…

94% of organizations now use AI, but only a fraction are seeing real ROI. In our latest deep dive, Box and @googlecloud uncover why some companies are seeing 37% productivity gains while others remain stuck. Topics we’ll cover: ✴️How frontier AI breakthroughs translate to business impact ✴️The proven path from pilot to production ✴️Implementation strategies from production deployments Tune in here: events.box.com/box-webinars/a…

50-60% of new vulnerabilities are weaponized within 48 hours. Yet <5% are ever exploited. We're using AI to identify which vulnerabilities actually matter in your environment—not just their CVSS score. Learn more about our AI-driven vulnerability management transformation: blog.box.com/big-bet-3-ai-r…

We integrated @AnthropicAI Claude agents into Box. From a single prompt, agents search your files, extract tax data, build spreadsheets, upload, and share. Learn how to build a multi-agent system 👉 blog.box.com/building-multi…

.@OwensCorning turned 85 years of lab notebooks into an AI-powered knowledge base that prevents engineers from repeating costly research. Now AI predicts workplace injuries before they happen by spotting risk patterns. Learn more about future of industrial AI. blog.box.com/owens-corning-…

Our @Guidewire_PandC integration is helping P&C insurers cut claims cycle times from weeks to hours with AI-powered document intelligence embedded directly into core workflows. 90% faster FNOL indexing. Error-free data entry. Read more → blog.box.com/faster-smarter…

Watch the full episode: youtube.com/watch?v=9l9j5r…

In our latest AI Explainer episode, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, @BenAtBox, tackle beliefs holding enterprises back today. They dive into: • Model Hosting: Why "hosting it yourself" isn't the only path to enterprise-grade security. • The Reality of AI Tricking: A look at prompt injection and the "action guardrails" needed to protect your agents. • The "Clean Data" Fallacy: Why you don't need perfect data to start. • Determinism vs. Utility: Understanding why the "unpredictability" of LLMs is a feature for reasoning tasks. • Training vs. RAG: Why the models of today rarely need custom training sets.