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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...

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816,255 görüntüleme • 5 ay önce •via X (Twitter)

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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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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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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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Build agentic workflows with LangGraph and Box to automate your enterprise content processes using LangChain powerful AI framework, OpenAI's 4.1-mini model, and Pydantic's structured outputs.
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See how the Box MCP server turns Box into a LLM-ready toolbox. In this demo, we showcase @Cursor_ai to fast track AI-powered content workflows.

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AI security researcher Christina Liaghati explains how easy it is for open sourced AI models to be maliciously altered to produce bad outputs, without users being able to detect this.
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AI security researcher Christina Liaghati explains how easy it is for open sourced AI models to be maliciously altered to produce bad outputs, without users being able to detect this.

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