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Security teams aren’t overwhelmed because they lack tools. They’re overwhelmed by volume. Mid-size enterprises face 1.3M security alerts per year. AI agents change the equation by triaging threats, understanding content context, and escalating only what matters. Learn how agent-driven security reshapes content protection and reduces alert fatigue:

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92,139 просмотров • 5 месяцев назад •via X (Twitter)

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As AI accelerates content creation, traditional security controls struggle to keep up. We recently released Shield Pro to GA to address this shift, using agentic AI to automatically classify unstructured content with context, detect ransomware behavior early, and streamline how security teams investigate and respond to threats. Instead of relying solely on static rules, Shield Pro embeds intelligence directly into content security workflows, helping teams protect collaboration at scale without adding friction. Read more to understand how agentic AI is reshaping content security:
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As AI accelerates content creation, traditional security controls struggle to keep up. We recently released Shield Pro to GA to address this shift, using agentic AI to automatically classify unstructured content with context, detect ransomware behavior early, and streamline how security teams investigate and respond to threats. Instead of relying solely on static rules, Shield Pro embeds intelligence directly into content security workflows, helping teams protect collaboration at scale without adding friction. Read more to understand how agentic AI is reshaping content security:

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Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →
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Watch how AI agents like Claude securely access and reason over your Box content via the Box MCP server. What this enables: • Search across files with full context • Extract key information instantly • Generate grounded insights • Operate within your security controls Watch and subscribe for future tips on agentic workflows →

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985,748 просмотров • 4 месяцев назад

AI agents need a structured place to do their work and access relevant content. A filesystem provides a clear, navigable way to manage that context. Here’s how Box can back that abstraction in LangChain Deep Agents — preserving the simplicity of the filesystem interface while adding enterprise-grade security, permission controls, version history, and collaboration at the storage layer. Explore our implementation:
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1,018,021 просмотров • 5 месяцев назад

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The Box MCP server is now available within Notion Custom Agents. Ground any Notion agent in your enterprise content. Automate workflows where agents search content in Box and update your notion dashboards and trackers with the latest status. Onboarding assistants. Sales enablement agents. Executive briefing agents. All powered by Box content, secured by Box permissions, and ready to act on your behalf.

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302,104 просмотров • 4 месяцев назад

Now Available 👉 Box AI Agent for Microsoft 365 Copilot. Easily search, summarize, and take action on your content in Box—all directly within Microsoft tools such as Microsoft Teams, Copilot Chat, Word, and PowerPoint.
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In our latest AI Explainer episode, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus, 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.
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Kemal Badur has three guiding principles in his role leading The University of Chicago's AI transformation as CTO - privacy and security, wide access for all, and accessibility. Learn more in the latest AI-First podcast from Box
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Kemal Badur has three guiding principles in his role leading The University of Chicago's AI transformation as CTO - privacy and security, wide access for all, and accessibility. Learn more in the latest AI-First podcast from Box

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AI agents are quickly becoming a new layer of the enterprise workforce. In our partner podcast episode with Salesforce, we explored what it takes to make that shift real. 3 key insights: • Enterprise content gives AI the context it needs • The biggest gains come from content-heavy workflows • Governance must scale as agents take action Dive into how Box + Salesforce are thinking about the future of enterprise AI →

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“Enterprises should probably never train an AI model.” In this episode of our AI Explainer Series, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus explain the challenges enterprises will face with training a model, and then explore why the smarter path is a combination of AI agents + RAG. Timestamps: 1:07 Reasons why enterprises shouldn't train a model 1:24 What it means to train a model 2:36 Explaining the concept of fine-tuning 4:50 Privacy challenges: AI doesn't keep secrets 6:40 What can enterprises do? 9:48 How enterprises can choose the right path
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“Enterprises should probably never train an AI model.” In this episode of our AI Explainer Series, Sr. Product Marketing Manager for AI, Meena Ganesh, and Box CTO, Ben Kus explain the challenges enterprises will face with training a model, and then explore why the smarter path is a combination of AI agents + RAG. Timestamps: 1:07 Reasons why enterprises shouldn't train a model 1:24 What it means to train a model 2:36 Explaining the concept of fine-tuning 4:50 Privacy challenges: AI doesn't keep secrets 6:40 What can enterprises do? 9:48 How enterprises can choose the right path

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354,042 просмотров • 7 месяцев назад

File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓
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File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

Box

227,222 просмотров • 5 месяцев назад

Work doesn’t happen in structured fields alone — it lives in contracts, forms, images, and documents. Box AI Agents help teams unlock critical insights from unstructured data, automate tasks, and move faster with agentic reasoning and enterprise context. Learn more:
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Work doesn’t happen in structured fields alone — it lives in contracts, forms, images, and documents. Box AI Agents help teams unlock critical insights from unstructured data, automate tasks, and move faster with agentic reasoning and enterprise context. Learn more:

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1,019,156 просмотров • 3 месяцев назад

Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.
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Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.

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10,565 просмотров • 1 год назад