sentinel-data-exploration
Find relevant security data from Sentinel data lake for building effective agents. More:aka.ms/s/de
可用工具 （5 个）
该服务在 MCP 协议中暴露的工具，AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数：query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数：urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数：url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数：url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数：input
服务介绍
Microsoft Sentinel Data Exploration
INSTALL 
The data exploration tool collection in the Microsoft Sentinel MCP server lets you search for relevant tables and retrieve data from Microsoft Sentinel's data lake using natural language.
# 🌐 The Microsoft Sentinel Data Exploration MCP Server Endpoint
The Microsoft Sentinel Data Exploration MCP Server is accessible to any IDE, agent, or tool that supports the Model Context Protocol (MCP). Any compatible client can connect to the following remote MCP endpoint:
Authentication
OAuth 2.0
# 🧩 Use cases
Password-Spray Hunt
Build security agents that autonomously select relevant sign-in tables, aggregates login attempts by user and IP, and flags patterns consistent with password-spray behavior—like low-frequency attempts over several months across many accounts.
Impossible Travel Check
Build security agents that correlate sign-in events by user, calculates geodistance and time gaps between logins, and flags cases where travel speed exceeds realistic thresholds, suggesting credential compromise.
Multi-factor authorization failures
Build security agents that analyzes multi-factor auth logs to detect spikes in failure rates, clustering by user, IP, or time window, and surfaces anomalies that deviate from baseline behavior over long periods.
Dormant Account wake-up
Build security agents that based on inactivity thresholds, scans for accounts with long silence followed by recent activity, and builds a timeline showing when and how these accounts re-engaged.
# 📚 Learn more
Explore Microsoft Sentinel data lake with data exploration collection
