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Miggo Security has significantly expanded its Runtime Defense Platform with new capabilities focused on AI and agentic observability, detection, and response. The enhancements include an AI Bill of Materials (AI-BOM), runtime guardrails, and Agentic Detection & Response (AIDR & Agentic DR), providing security teams with deep visibility and control over AI agents, Model Context Protocol (MCP) toolchains, and shadow AI in production environments.
As organizations rapidly adopt vibe coding technologies and agent frameworks like LangChain, the attack surface for AI and agentic applications has shifted to runtime execution. Traditional security tools struggle with the non-deterministic nature of AI, where models dynamically select tools and access data. Miggo’s execution-first approach addresses this gap by focusing on actual runtime behavior rather than prompts or static code analysis.
Miggo’s patented DeepTracing™ technology continuously maps what AI agents exist, how they behave, what data they can access, and how their behavior evolves based on real execution evidence. This shift from prompt-based to execution-based security helps close the growing gap demonstrated in recent research on indirect prompt injection attacks.
The enhanced Runtime Defense Platform introduces several key features:
AI-BOM Discovery and Execution Visibility automatically identifies AI components across applications, MCP toolchains, and agent runtimes while mapping reasoning and execution paths in real time.
Behavioral Drift Detection baselines normal agent behavior and flags meaningful changes with full security context.
Runtime Guardrails allow security teams to enforce approved models, tools, and permissions by approving or rejecting detected drift.
Execution-Level Detection for AI Agents traces tool calls, model loading, file access, network behavior, and system actions to identify compromise paths.
MCP-Aware Monitoring tracks tool use in MCP-mediated environments to detect abnormal access and risky chaining patterns.
AI-Aware Application Protection extends protection to AI-driven vulnerabilities by correlating functionality with runtime context to generate tailored detection rules.
Risk Scoring and End-to-End Attack Stories correlate events into clear timelines and prioritize based on real impact such as blast radius and data exposure.
Compliance Support delivers runtime evidence to meet internal policies and emerging regulations including the EU AI Act.
“AI risk materializes at runtime,” asserts 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.”
About Miggo Security
Miggo Security delivers AI Runtime Defense through its application detection and response (ADR) solution, empowering enterprises to identify, mitigate and respond to application threats. Miggo enables organizations to secure traditional, cloud-native and AI-driven applications at scale, reducing exposure windows by up to 99% and cutting operational overhead by 30% or more. Miggo Security has been awarded Gartner Cool Vendor 2025 for AI Security and Frost & Sullivan’s Product Innovation Award 2025, among others.
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