[Webinar] Securing Agentic AI: From MCPs and Tool Access to Shadow API Key Sprawl
嗯,用户让我帮忙总结一篇文章的内容,控制在一百个字以内,而且不需要用“文章内容总结”之类的开头。首先,我得仔细阅读这篇文章,了解它的主要内容。 文章主要讲的是人工智能和自动化安全的问题。特别是AI代理不仅仅是写代码,还能执行代码。工具如Copilot、Claude Code和Codex可以快速构建、测试和部署软件,但这也带来了安全风险。机器控制协议(MCPs)是这些AI代理背后的控制层,如果被攻击或配置错误,AI代理可能会执行恶意操作。 文章还提到了一个具体的漏洞CVE-2025-6514,导致OAuth代理被利用进行远程代码执行。这说明AI代理在执行命令时也可能执行攻击。 webinar旨在帮助团队在保持快速开发的同时不失去控制权。 接下来,我需要将这些信息浓缩到100字以内。重点包括AI代理的执行能力、MCPs的安全问题、漏洞案例以及webinar的目标。 可能会这样组织:AI代理不仅写代码还能执行,带来安全风险;MCPs控制权限,被攻破可能导致攻击;案例说明问题严重性;webinar提供解决方案。 检查一下字数是否合适,并确保信息准确传达。 </think> 文章探讨了AI代理在软件开发中的新角色及其带来的安全风险。AI工具不仅能编写代码,还能自动构建、测试和部署软件,但这种速度也引入了新的安全隐患。机器控制协议(MCPs)作为AI代理的控制层,若被攻破或配置不当,可能导致大规模攻击。文章强调了MCPs的重要性,并呼吁团队加强对其的管理与审计以防止潜在威胁。 2026-1-13 13:44:0 Author: thehackernews.com(查看原文) 阅读量:0 收藏

Artificial Intelligence / Automation Security

AI agents are no longer just writing code. They are executing it.

Tools like Copilot, Claude Code, and Codex can now build, test, and deploy software end-to-end in minutes. That speed is reshaping engineering—but it's also creating a security gap most teams don't see until something breaks.

Behind every agentic workflow sits a layer few organizations are actively securing: Machine Control Protocols (MCPs). These systems quietly decide what an AI agent can run, which tools it can call, which APIs it can access, and what infrastructure it can touch. Once that control plane is compromised or misconfigured, the agent doesn't just make mistakes—it acts with authority.

Ask the teams impacted by CVE-2025-6514. One flaw turned a trusted OAuth proxy used by more than 500,000 developers into a remote code execution path. No exotic exploit chain. No noisy breach. Just automation doing exactly what it was allowed to do—at scale. That incident made one thing clear: if an AI agent can execute commands, it can also execute attacks.

This webinar is for teams who want to move fast without giving up control.

Secure your spot for the live session ➜

Led by the author of the OpenID whitepaper Identity Management for Agentic AI, this session goes straight to the core risks security teams are now inheriting from agentic AI adoption. You'll see how MCP servers actually work in real environments, where shadow API keys appear, how permissions quietly sprawl, and why traditional identity and access models break down when agents act on your behalf.

You'll learn:

  • What MCP servers are and why they matter more than the model itself
  • How malicious or compromised MCPs turn automation into an attack surface
  • Where shadow API keys come from—and how to detect and eliminate them
  • How to audit agent actions and enforce policy before deployment
  • Practical controls to secure agentic AI without slowing development

Agentic AI is already inside your pipeline. The only question is whether you can see what it's doing—and stop it when it goes too far.

Register for the live webinar and regain control of your AI stack before the next incident does it for you.

Register for the Webinar ➜

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文章来源: https://thehackernews.com/2026/01/webinar-t-from-mcps-and-tool-access-to.html
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