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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:

Box

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92,139 次观看 • 7 个月前 •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:

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:

Box

816,255 次观看 • 7 个月前

Today we are announcing Box Agent Security and Governance. AI agents are reading files, moving content, and triggering actions across your most sensitive data at machine speed. Most security tools were not designed for this. Box closes the gap at the content layer: · Prompt injection detection before it reaches the model · Agent guardrails on what agents can and cannot do · Classification-based access policies extending Box Shield to AI · Audit trails for every agent session No additional software. No per-vendor configuration.

Today we are announcing Box Agent Security and Governance. AI agents are reading files, moving content, and triggering actions across your most sensitive data at machine speed. Most security tools were not designed for this. Box closes the gap at the content layer: · Prompt injection detection before it reaches the model · Agent guardrails on what agents can and cannot do · Classification-based access policies extending Box Shield to AI · Audit trails for every agent session No additional software. No per-vendor configuration.

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By 2028, the average Fortune 500 enterprise will have over 150,000 AI agents running across their organization, according to Gartner. The number one barrier to deploying them: security and privacy concerns. Not capability. Trust. Box Agent Security and Governance is built into the content layer, not bolted on top of it. Every agent request evaluated against your existing permissions. Every session logged with a content-aware audit trail. Frictionless for teams. Fully governed for security leaders.

By 2028, the average Fortune 500 enterprise will have over 150,000 AI agents running across their organization, according to Gartner. The number one barrier to deploying them: security and privacy concerns. Not capability. Trust. Box Agent Security and Governance is built into the content layer, not bolted on top of it. Every agent request evaluated against your existing permissions. Every session logged with a content-aware audit trail. Frictionless for teams. Fully governed for security leaders.

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141,491 次观看 • 1 个月前

AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.

AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.

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627,810 次观看 • 4 个月前

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 →

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 次观看 • 6 个月前

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:

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 次观看 • 6 个月前

AI agents can read any file the user has access to. That is a much larger surface than most security teams realize. Classification-based access policies in Box now give admins read access control for AI agents. Restrict which agents can read which content based on Box Shield classifications. Enforced automatically across every agent, regardless of which AI tool is making the request. This demo shows it in action.

AI agents can read any file the user has access to. That is a much larger surface than most security teams realize. Classification-based access policies in Box now give admins read access control for AI agents. Restrict which agents can read which content based on Box Shield classifications. Enforced automatically across every agent, regardless of which AI tool is making the request. This demo shows it in action.

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105,605 次观看 • 1 个月前

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.

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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134,309 次观看 • 3 个月前

8 months ago we started explaining enterprise AI on YouTube. 2M views later, here are the 5 shifts that actually defined 2025. Timestamps 00:36 Prompt Engineering → Agent Engineering 00:51 Prompting best practices 01:19 How context engineering focuses on curating information 01:51 Evolution of assistants to agents 02:12 Agents handling complex tasks 02:58 How security became foundational 03:36 The correct security architecture for organizations 04:23 The emergence of model flexibility 05:26 The importance of governance and trust

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460,406 次观看 • 8 个月前

How does a leader in NYC real estate manage hundreds of complex leases? By turning content into a competitive advantage. Vornado Realty Trust teamed up with Box to transform tenant service and internal workflows. Using Box AI and Box Hubs, they’ve cut tenant response times by 30% while keeping security at the forefront. Read the full story:

How does a leader in NYC real estate manage hundreds of complex leases? By turning content into a competitive advantage. Vornado Realty Trust teamed up with Box to transform tenant service and internal workflows. Using Box AI and Box Hubs, they’ve cut tenant response times by 30% while keeping security at the forefront. Read the full story:

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302,104 次观看 • 6 个月前

AI agents need more than intelligence. They need trusted business context. With Google Gemini Managed Agents now supporting remote MCP servers, developers can connect Gemini agents to governed content in Box, generate outputs from real enterprise files, and save the work back where teams already collaborate. Box MCP Server + Gemini API in action.👇

AI agents need more than intelligence. They need trusted business context. With Google Gemini Managed Agents now supporting remote MCP servers, developers can connect Gemini agents to governed content in Box, generate outputs from real enterprise files, and save the work back where teams already collaborate. Box MCP Server + Gemini API in action.👇

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26,056 次观看 • 9 个月前

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78,182 次观看 • 10 个月前

“We need more determinism mixed with the creative capabilities of gen AI.” In our latest partner podcast, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt ❇️, VP of Product Architecture of Agentforce at Salesforce, to explore the rise of hybrid reasoning from shifting from simple chatbots to complex multi-agent workflows. Timestamps: 02:12 The transition from deterministic bots to hybrid AI agents 03:15 The shift from simple automation to multi-agent workflows 04:39 Why protocols like MCP and A2A are crucial for agent collaboration 05:36 Understanding how MCP and A2A complement each other 07:16 The importance of open-source industry governance 08:52 How open standards prevent the walled garden issue 10:24 The collaboration between Box and Salesforce in building real-world agent use cases 12:59 The future of an "app store" for agents 13:50 How Salesforce ensures the quality and security of agents in the ecosystem 15:12 Leveraging observability tools to manage and improve agent performance 16:48 Preparing IT leaders for the future of multi-agent workflows and platform readiness

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659,753 次观看 • 8 个月前

Most teams governing AI agents focus on what they can access. The harder problem is what they can do with it. Box MCP Server admin controls let admins govern tool access enterprise-wide or per AI integration, set read-only or read-and-write permissions, and configure down to the individual tool level. When a tool is disabled, agents can no longer discover or invoke it. Enforced at runtime, not just at setup.

Most teams governing AI agents focus on what they can access. The harder problem is what they can do with it. Box MCP Server admin controls let admins govern tool access enterprise-wide or per AI integration, set read-only or read-and-write permissions, and configure down to the individual tool level. When a tool is disabled, agents can no longer discover or invoke it. Enforced at runtime, not just at setup.

Box

328,119 次观看 • 15 天前