Best Threat Hunting Tools for Microsoft Excel

Compare the Top Threat Hunting Tools that integrate with Microsoft Excel as of December 2025

This a list of Threat Hunting tools that integrate with Microsoft Excel. Use the filters on the left to add additional filters for products that have integrations with Microsoft Excel. View the products that work with Microsoft Excel in the table below.

What are Threat Hunting Tools for Microsoft Excel?

Threat hunting tools are software programs used by cybersecurity professionals to proactively search for potential security threats. These tools use advanced algorithms and machine learning techniques to analyze network traffic, user behavior, and system logs in order to identify any anomalous or suspicious activity. They can also detect known malware and vulnerabilities, as well as track unusual patterns or changes in the network. Threat hunting tools provide valuable insights and alerts, enabling organizations to take proactive measures to prevent cyber attacks before they occur. They are an essential component of modern-day cybersecurity strategies. Compare and read user reviews of the best Threat Hunting tools for Microsoft Excel currently available using the table below. This list is updated regularly.

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    7AI

    7AI

    7AI

    7AI is an agentic security platform built to automate and accelerate the entire security operations lifecycle using specialized AI agents that investigate security alerts, form conclusions, and take action, turning processes that once took hours into minutes. Unlike traditional automation tools or AI copilots, 7AI deploys purpose-built, context-aware agents that are architecturally bounded to avoid hallucinations, and operate autonomously; they ingest alerts from existing security tools, enrich and correlate data across endpoints, cloud, identity, email, network, and more, and then produce full investigations with evidence, narrative summaries, cross-alert correlation, and audit trails. It offers a complete security stack: detection to triage alerts (filtering out noise and up to 95–99% of false positives), investigations (multi-system data-gathering and expert-level reasoning), and unified incident-case management (auto-populated cases, team collaboration, and handoffs).
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