Custom Detection Builder
Build Detections in Minutes
Go from threat to detection—effortlessly.
Anvilogic’s low-code builder empowers your SOC to design and deploy custom detection scenarios—guided by intelligent agents, not burdened by code.
Anvilogic’s low-code builder empowers your SOC to design and deploy custom detection scenarios—guided by intelligent agents, not burdened by code.
A Modular
Detection-as-Code Approach with AI
Scale Use Case Development With Detection-as-Code
Less Vendor Noise, More Engineer Voice: Why rely solely on prepackaged detections? With Anvilogic’s Detection-as-Code framework, you can design, test, and deploy custom detections in minutes—across Splunk, Databricks, Snowflake, and Sentinel—without vendor lock-in or slow & manual feedback loops.
Agentic by Design: Empower every team member—from threat hunters to data scientists—to drive detection outcomes. With our low-code canvas and built-in AI copilot, detection engineering becomes collaborative, proactive, and scalable. Build with SQL, KQL, or SPL—no translators needed.
Operationalize the Lifecycle, Not Just the Rules: From threat modeling to deployment, Anvilogic unifies detection creation, validation, and maintenance into one continuous workflow. Whether you’re fixing a broken rule or prototyping a new attack path, test and innovate with speed and confidence.
Reusable Detections, Ready Anywhere: Design modular, reusable components that can be deployed across your entire detection ecosystem—from Splunk to Databricks to Snowflake. Build once and operationalize across repositories, reducing duplication and accelerating engineering velocity.
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.
Precision at Scale: Use Anvilogic’s agentic detection framework to accelerate the creation of high-efficacy, low-noise detections—targeted at real TTPs, tuned to your environment, and built to reduce risk at scale.
MITRE ATT&CK by Design—With Full Tagging Control
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.
Modular Building Blocks for Precision: Threat Identifiers are enriched with metadata—rule logic, security control mappings, confidence levels, MITRE classifications, and custom labels—allowing you to group, tune, and adapt detections with precision. Add triage guidance to streamline analyst response and reduce time to decision.
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.
Version-Controlled: All detections are tracked with version history, ensuring transparency, auditability, and collaboration across your team. Customize confidently—every change is logged, reversible, and ready to deploy across your environment with zero guesswork.
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