Miggo Security Expands Runtime Defense Platform With AI-BOM, Agentic Detection, and MCP Monitoring
好的,我现在需要帮用户总结这篇文章的内容,控制在100字以内。首先,我得通读整篇文章,抓住主要信息。 文章讲的是Miggo Security在2026年RSA大会上扩展了他们的Runtime Defense Platform,新增了AI物料清单、运行时护栏和智能检测响应功能。这些功能主要是针对那些在生产环境中运行AI代理、模型上下文协议工具链和影子AI的组织,因为现有的安全措施不够用。 接下来,问题部分提到AI组件和代理的行为不同于传统软件,它们在运行时动态选择模型、调用工具和访问数据,导致静态分析和预部署扫描不够用。攻击面存在于生产环境中。 Miggo的平台使用DeepTracing技术来持续监控AI代理的存在、行为、访问权限以及行为随时间的变化。他们还扩展了之前的研究,比如Google Gemini集成中的间接提示注入。 关键新增功能包括AI-BOM发现、行为漂移检测、MCP感知监控等。此外,还有扩展的WAF Copilot、风险评分和合规支持。 最后,Miggo获得了Gartner和Frost & Sullivan的奖项,并在RSA大会上展示新平台。 现在我需要把这些信息浓缩到100字以内。重点是:Miggo扩展平台,新增功能解决AI运行时安全问题,使用DeepTracing技术监控AI行为,并提供多种检测和合规支持。 </think> Miggo Security扩展其Runtime Defense Platform,新增AI物料清单、运行时护栏及智能检测响应功能,针对生产环境中AI代理及工具链的安全需求。其专利技术DeepTracing持续监控AI行为及访问权限,并提供行为漂移检测、异常工具访问预警等功能。该平台还支持攻击路径识别及合规性管理。 2026-3-25 16:14:13 Author: securityboulevard.com(查看原文) 阅读量:1 收藏

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Miggo Security is significantly expanding its Runtime Defense Platform at RSA Conference 2026, adding an AI Bill of Materials, runtime guardrails, and Agentic Detection and Response capabilities. The release is aimed at organizations running AI agents, Model Context Protocol toolchains, and shadow AI in production environments where existing security controls fall short.

The problem Miggo is addressing is straightforward: AI components and agents don’t behave the way traditional software does. They dynamically select models, invoke tools, and access data at runtime, making static analysis and pre-deployment scanning insufficient. The attack surface lives in production, not in the codebase.

Miggo’s platform uses its patented DeepTracing technology to establish a continuous, evidence-based picture of what AI agents exist, how they behave, what they can access, and how that behavior changes over time. The expansion builds on Miggo’s earlier research into indirect prompt injection in Google Gemini integrations, where a weaponized calendar invite was shown to influence downstream AI behavior through trusted context.

“AI risk materializes at runtime,” said Daniel Shechter, CEO of Miggo Security. “For teams using popular agent frameworks, like LangChain, and MCP-connected toolchains, this architecture makes runtime execution the primary attack surface. I’m proud of the technology we’ve built at Miggo, which has always been centered around deep context, and by extending our patented DeepTracing capabilities, we’re now bringing robust AI and agentic defense directly into modern environments.”

Key additions in the expanded platform include AI-BOM Discovery for mapping AI components across applications and MCP toolchains, Behavioral Drift Detection to baseline and track changes in agent behavior, and MCP-Aware Monitoring to flag abnormal tool access and risky chaining patterns. The platform also adds execution-level detection that traces tool calls, model loading, file access, and network behavior to identify agent-driven compromise paths.

Rounding out the release: an extended WAF Copilot for AI-driven vulnerabilities, risk scoring with end-to-end attack stories, and compliance support for internal AI policies and the EU AI Act.

Miggo Security, which holds a Gartner Cool Vendor 2025 designation for AI Security and a Frost and Sullivan Product Innovation Award for 2025, is demonstrating the expanded platform at RSA Conference 2026 in San Francisco.


文章来源: https://securityboulevard.com/2026/03/miggo-security-expands-runtime-defense-platform-with-ai-bom-agentic-detection-and-mcp-monitoring/
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