Custom Detection Builder
Build Detections Without the Complexity
Go from threat to detection effortlessly with a low-code use case builder that allows your SOC to construct their custom threat detection scenarios without the coding & deployment complexity.
AI-Powered Use Case Development
Simplify Use Case Development With Detection-as-Code
Say Less, DIY More: Go beyond depending on your vendor-provided content and create custom detections like a boss with our Detection-as-Code builder and deploy in minutes.
Customize Without Constraints: Cook up granular detection strategies without constraints on customization and tedious labor, and enable your team to build detections easily no matter their role.
Streamline the Entire Detection Engineering Lifecycle: Effortlessly build use cases with drag-and-drop components on a detection canvas. Test SQL, SPL, or KQL on the fly, see instant results as you go, and deploy to your platforms of choice.
Multi-Stage Detections in Minutes: Build and deploy both point and multi-stage detections, unify security alerts, and enrich threat intel directly into your Splunk, Snowflake, and Microsoft stacks—no rip-and-replace, no disruptions.
AI-Assisted Use Case Development
Build Rules Across Multi-Data Platforms: Collect what you need to build your rules from Splunk, Snowflake, or Azure with our Custom Detection Builder, which lets you bypass the intricacies of data parsing and normalization by handling that for you.
Boost SOC Efficiency with an Embedded Copilot: Utilize Monte Copilot as your GenAI assistant to enhance efficiency by automating query generation through a complete understanding of the schema and data models connected to the Anvilogic platform.
Focus on High-Value Activities: Concentrate on high-value activities like threat hunting with AI-assisted use case development that breaks through skills gap limitations and scales your team.
Better, Faster, Stronger Defense: Leverage Anvilogic’s detection framework to enable faster development of threat-relevant, low-volume, and high-efficacy detections, leading to decreased risk.
MITRE ATT&CK Integration With Custom Tagging
Powerful Detection Framework: Our framework empowers you to create, clone, or customize from thousands of prebuilt use cases, organized into Threat Identifiers and Scenarios. Threat Identifiers serve as building blocks, generating warning signals on events of interest using signature, behavior, baseline, or machine learning rule logic.
Building Blocks for High-Fidelity Detections: Each Threat Identifier is enriched with customizable metadata fields covering rule details, security controls, confidence levels, MITRE data source and category mapping, and custom labels—ideal for grouping related identifiers. Plus, you can even add triage guidance for streamlined analysis.
Quick-Search Metadata Tagging: Rich metadata tagging on each rule enables fast searches within our detection content library, The Armory, making it easy to find, deploy, and customize exactly what you need.
AI-Driven Detection Recommendations: Anvilogic’s content team provides machine learning-powered detection recommendations that align to your MITRE ATT&CK priorities, accelerating detection improvements based on your existing data feeds.
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