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Detection-as-Code Builder

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Let's ask Monte Copilot!

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Easily track and manage them with customizable metadata tagging aligned to MITRE ATT&CK, custom definitions and risk scoring.

Test your detections in real-time as you build. ✨

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Easily input reasoning and track change history for detection logic updates.

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As versions evolve, compare changes side-by-side to monitor and manage your detections’ progression. Keep things organized and stay on top of your game!

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We take detection engineering to the next level by offering an innovative approach to crafting Threat Scenarios.

Our framework empowers you to combine Threat Identifiers together, constructing comprehensive multi-stage attack paths and enabling cross-platform data correlation.

A true differentiator that SIEMs alone struggle to achieve. ⭐

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Unify your SIEM and Data Lake
Without Replacing Splunk or Sentinel

Threat detection is harder than ever. With attack surfaces expanding across fragmented environments, centralizing all your data in one place isn’t just costly—it’s unrealistic. Instead, data ends up scattered across silos, making visibility and response slower, and harder, and it's putting you at risk.

Anvilogic breaks the traditional SIEM model with a decoupled approach—leveraging modular, decentralized architecture to unify detection across Splunk, your data lake, and beyond.

No rip-and-replace. Just smarter, faster, scalable detection.

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Continuously assess your SOC's readiness to detect trending threats and identify key improvement areas with adaptive maturity scoring.

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Find the stars on the MITRE Coverage Map to deploy rules to drive impactful threat detection! ⭐

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AI-Powered Workflow Optimization

Explore the Anvilogic homepage to discover daily AI-driven recommendations. Navigate across each insight to see how we can help you optimize your data feed health, automate tuning, and effectively close detection gaps.

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🚀 Let's start our journey by taking a look at ML-powered recommendations for new uses.

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Here's a curated Detection Pack we recommend deploying, along with the reasons of why you should.

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