Anvilogic for Microsoft Sentinel
Operationalize Detection Engineering Across your Azure Ecosystem
Microsoft has firmly positioned itself as a cornerstone in data storage and productivity, and since entering the SIEM market with the release of Sentinel, it’s also become a major player in security strategies. Microsoft shops rely on platforms like Log Analytics and Data Explorer because they offer a solid foundation for monitoring, logging, and correlating data—creating an interconnected ecosystem where asset monitoring and data management across Microsoft products are tightly integrated.
However, while Microsoft excels in data ingestion, querying, and providing a cohesive ecosystem, many organizations face challenges in scaling detection engineering and optimizing threat detection rules. Detection engineers often struggle to find the attacks that matter most due to several factors:
- Noisy networks that are poorly managed and overwhelm with incidents.
- Inefficient budget allocation on solutions lacking visibility in terms of discovery.
- Inadequate data, such as SIEM capacity consumed by firewall logs.
- Poor defensive posture hindering skilled talent acquisition capable of finding important attacks.
This is where Anvilogic steps in. Rather than moving away from Microsoft—which isn’t a realistic option for most enterprises—we build on top of your existing investment, enhancing detection capabilities, automating engineering workflows, and simplifying threat hunting. Anvilogic transforms Microsoft’s foundation into a powerful detection platform that closes critical gaps and delivers high-fidelity security outcomes.
Anvilogic is taking detection engineering challenges head on and gaining significant traction among large enterprises with advanced SOC teams like eBay and PayPal, helping them streamline their detection engineering efforts—the most critical focus highlighted by 60% of security professionals in the ESG Report.
This solution guide explains how Anvilogic streamlines detection engineering in your Azure ecosystem. Explore our detection engineering key feature sets, our three main use cases, and more.
Use the Table of Contents to find the topics you’re interested in.
Bridging the Detection Engineering Gap with Fortune 500 Practitioner Expertise
Founded by former Fortune 500 practitioners, Anvilogic was built to give detection engineers the tools they need to craft precise detections using a Detection-as-Code framework tailored to unique business and threat priorities. It stands as the only solution that seamlessly integrates with multiple SIEMs and security technologies, and tackles the most complex areas of detection engineering—areas that challenge even the most advanced Security Operations Centers.
Company leadership & vision
100+ years SOC practitioner DNA
Easily Orchestrate Powerful KQL Threat Detection
Although Sentinel has a powerful query language, it primarily focuses on Microsoft data sources, which limits its ability to perform complex, multi-stage correlations when it comes to non-Microsoft logs or external data sources. This narrow scope means it lacks robust cross-platform correlation capabilities that are necessary for building multi-dimensional detections across diverse datasets. With our Custom Detection Builder, you can develop and deploy high-fidelity, behavioral-based detections for your team's custom use cases in minutes across your chosen data platforms and security technologies. It alleviates the need for your team to be experts in SPL, SQL, and KQL, simplifying the complexities of building and deploying threat detections.
Easily create, schedule, and manage KQL queries and detections across Microsoft Sentinel, Azure Log Analytics, or Azure Data Explorer. Anvilogic seamlessly integrates with other data repositories like Splunk, Snowflake, allowing you to correlate raw events and alerts across multiple platforms. Search and analyze raw events from hybrid or multi-cloud repositories to build robust, multi-layered threat scenarios. This unified framework empowers you to create high-fidelity detections with minimal coding, supported by an OpenAI chatbot for enhanced efficiency and ease.
Have a lot of custom KQL already built out? You can seamlessly onboard your existing KQL rules into Anvilogic to manage them all in one centralized place. We let you enrich your content with your custom tags and use AI algorithms to map your pre-existing content to the MITRE ATT&CK framework so you can easily track ongoing coverage against it for program effectiveness.
Supported Integrations
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Customizing detection rules across disparate technologies with varying query language skill is resource-intensive and slow. With Anvilogic’s Detection-as-Code capabilities, teams can quickly create, modify, and deploy detections, drastically reducing the time and effort required to implement new threat detection rules—scaling at the speed required to keep up with today’s evolving threat landscape. The DaC experience offers a user-friendly canvas with drag-and-drop functionality to query raw events in Azure Sentinel, Data Explorer or Log Analytics from within the Anvilogic platform and transform them into automated threat detection queries.
Key Features
Efficiently collect and gather what you need in the format that you need to start building your rule from your data set while bypassing the intricacies of data parsing and normalization. The platform normalizes elements from your Azure workspaces in place so you can focus on building your detections efficiently.
As you select tables in Azure, additional filtering and formatting options allow you to refine your queries on the fly:
- Code Block: Ideal for KQL pros, this feature lets you craft precise KQL hunts with pikes necessary to filter on elements. You can then test, search, and narrow down results with intuitive right-click selections.
- Filter: This feature provides a workbench with dropdowns to easily select schema elements and refine KQL queries with filters like equals, does not equal, contains, and more. It helps you retrieve precisely what you need.
- Group Events: To avoid duplicate alerts and reduce noise, this feature consolidates multiple rows into a single entry, making it easier to build, tag, and enrich detections for use in multi-stage scenarios covered later in this solution guide.
- Inline Enrichment: Enrich data with assets, identities, and IP context inline, with minimal engineering overhead or ongoing maintenance, enabling streamlined correlation and advanced analysis.
- Custom Tagging: Tag your use case with custom definitions, categories like rule type, domain, coverage, and data platform. Align with MITRE to track technique coverage across your security alerts.
- Version Control & Audit History: All use case changes are tracked with side-by-side code views, making it easy to see updates as your use cases evolve. You can revert to previous versions anytime.
Searching Made Simple
When you need to quickly search for specific information—whether to answer a CISO’s question or extract a report—our new Search feature makes it easier than ever. With a user-friendly GUI, you can effortlessly search your Azure data sources. Filter by macros or specific data feeds without writing complex KQL. Customize your searches with basic and advanced filtering options, using selectable properties, time pickers, and multiple conditions to refine your results.
You can also quickly retrieve and query previously defined views as needed, referencing them at any time—especially if you frequently reach for a previously customized view you have out running in production today. Alternatively, you can select any imported data feeds to which Anvilogic has authenticated access. Both options will be organized by data domain (e.g., Application, Network, Endpoint).
Easily navigate your options and make complex joins with guided table selection. Analyze your search results with visual distributions over time to identify trends, spikes, and anomalies. Easily export your results and attach logs directly to cases—streamlining the workflow for analysts and meeting case documentation requirements. This comprehensive insight empowers you to dig deeper and easily make informed decisions.
Once you have your search results, leverage an AI Copilot assistant with a ChatGPT-style interface to ask questions about a result. Or dig even deeper by asking for guidance on how to investigate.
Monte Copilot is extensively trained in different personas across the SOC, so you can scale your team and accelerate triage and response—no matter who’s asking the question.
Build Your Azure Defense: Your Threat Detection Toolkit
With our custom detection builder, you can easily import, test, deploy rules, and execute threat hunts across Azure—but if you're unsure where to start, no worries! The Anvilogic Forge has your back with a clutch Detection Armory.
The Detection Armory offers a library of 1200+ pre-built, MITRE ATT&CK-mapped detections that are ready to deploy, making it easy for customers to implement advanced detection strategies within their existing Microsoft infrastructure. We release weekly detections various TTPs targeting Microsoft Applications, using machine learning to prioritize relevance. This helps you decide which detections to deploy first, ensuring you efficiently close gaps and enhance your MITRE ATT&CK coverage.
MITRE ATT&CK Detection Packs for Azure
Our team consistently releases new detection content packs unique to emerging threats and trending issues. Each pack delivers 50+ targeted detections—or Threat Identifiers—for Azure data feeds designed to pinpoint specific tactics and techniques. Increase your coverage in just a few clicks by easily deploying content directly to your Sentinel, Log Analytics, Fabric and Data Explorer environments.
Closing Correlation Gaps with the latest Trending Threats
The Anvilogic Forge curates the latest trending Cyber Threat Intelligence (CTI) reports from leading sources, extracts key threat actor TTPs, and maps them to relevant detections and multi-stage attack scenarios on a weekly basis. These curated insights are also ready for immediate deployment to Azure-connected data feeds, optimized for frequency and accompanied by comprehensive guidance to help operationalize the reports and content packs effectively.
The Azure Playbook Collection for Real-World Threat Scenarios
Anvilogic’s Detection Armory goes beyond offering detection packs and reports with atomic rules. It also delivers advanced, multi-domain, and multi-stage correlations—or Threat Scenarios, as we like to call them—all powered by our robust rule engine. Our curated, pre-built, and CI/CD-tested Threat Scenario content is designed for rapid deployment, allowing you to operationalize in just minutes. This content was inspired by customer requests across different industries and modeled after the latest emerging threats.
You can leverage Threat Scenarios for Azure from our Detection Armory, tuning and modifying them as needed. However, we understand that many organizations will need to build their own. With our low-code use case builder, your SOC can easily create custom threat detection scenarios without the complexity of coding and deployment. While Sentinel’s KQL is a powerful query language, it isn’t optimized for complex detection engineering tasks that require advanced correlation logic, such as chaining events across multiple data sources in real time. This often leads to gaps in detection coverage and difficulty in identifying sophisticated attack scenarios that span cloud and on-prem environments. Integrating non-Microsoft logs & security vendor alerts can also be cumbersome, which prevents security teams from leveraging the full spectrum of data necessary for effective, multi-stage attack detections.
Crypto.com reduced detection engineering time by utilizing a low-code builder for multi-stage detections that produced high-fidelity alerts across multiple atomic detections, vendor alerts, and data platforms.
Close Detection Gaps While Maximizing Value of Sentinel
Now with Anvilogic, you can...
- Receive AI-powered recommendations that notify you on which KQL detections we have in the Armory that are relevant based on your available data platforms and threat priorities.
- Visually understand your tactics, techniques and procedures (TTP) coverage against MITRE ATT&CK automatically.
- Improve Alert Quality by driving cross domain correlation detections across Microsoft & non-Microsoft Data Feeds.
- Save hundreds of hours researching KQL rules that align to your environment.
Reduce Alert Fatigue with Multi-Stage Attack Correlation
Now with Anvilogic, you can...
- Build complex detection logic using a low-code builder that can correlate atomic events across multiple stages in an attack sequence.
- Easily Correlate detections across IT Infrastructure domains.
- Leverage hundreds of threat intelligence-driven scenarios tailored to your specific industry.
- Automatically map detections to MITRE ATT&CK.
Automate Rule Tuning and Maintenance with AI
Now with Anvilogic, you can...
- Received AI-powered recommendations that automate tuning and notify you about integrations, data feeds, and rules that need a checkup as well as the steps to nurse them back to health.
- Tune noisy alerts and remove false positives with a single click, instantly applying the necessary allowlisting and filtering adjustments.
- Save hundreds of hours of manual troubleshooting and parsing faulty values.
Fortify Your Frontlines With AI-Powered Insights
Complementing Existing Microsoft Investments
Organizations aren’t looking to abandon their Microsoft tools; they want to get more out of them. Anvilogic acts as an technology force-multiplier, integrating effortlessly into Microsoft environments, whether it’s augmenting Sentinel with more effective detections or providing correlations across data sources like Log Analytics, Azure Fabric and Data Explorer.
Risk of Doing Nothing
And while Microsoft Sentinel excels at covering its own, it overlooks non-Microsoft products, leaving critical blind spots in your defenses. That’s where Anvilogic comes in: we fill the gaps, cut through the noise, and reduce the risk of threats going unnoticed. Because when it comes to protecting your crown jewels, “good enough” just doesn’t cut it.
The Result
By working in tandem with Microsoft, Anvilogic ensures customers get the best of both worlds—leveraging Microsoft’s powerful security infrastructure while enhancing it with Anvilogic’s advanced detection engineering capabilities. This partnership empowers organizations to not just monitor, but proactively defend, adapt, and respond to threats with unparalleled efficiency.
In short, Anvilogic doesn’t replace Microsoft—it supercharges it. That’s why our customers can continue to rely on their existing Microsoft infrastructure while gaining more value, coverage, and insight, closing detection gaps and staying ahead of threats without disrupting their established security strategy.
Anvilogic Architecture
Product Features:
- Forge Threat Research delivering over 1000s of ready-to-deploy detections (updated weekly) in SPL, KQL, SQL.
- Daily detections updated based on trending threats.
- Premium Threat Scenarios & Cloud Detection Content Packs.
- Hunting detection packs to detect anomalous behavior.
- Low-Code detection builder to create behavior pattern-based detections or risk based detection scenarios.
- Import your pre-existing rules to be standardized across all alert data.
- Frameworks, machine learning recommendations and documentation to help define testing (TTPs) all in one place.
- Automated end-to-end detection lifecycle management.
- Easy to clone/modify/deploy detections.
- Use case documentation.
- Automated maintenance.
- Versioning & audit history of changes.
- Parsing and normalization code management.
- End-to-end visibility of your SOC maturity based on data quality analysis, detection coverage across MITRE, and productivity metrics (ex. hunting, alert dwell time, etc.).
- Measurable technique coverage and gap analysis.
- Assessment validation testing integrated into maturity scoring framework.
- Hunting, Tuning, and Health Insights that continuously monitor your unique environment, escalate activity that requires attention, and remind you of crucial maintenance actions.
- Hunting Insights delivered to help identify high-fidelity alerts and suspicious patterns across raw event logs.
- Detection recommendations based on your industry threat.
- Landscape, infrastructure, and MITRE ATT&CK coverage/gaps.
- Data prioritization & recommendations based on your unique environment.
- Automated Tuning recommendations to ensure your deployment is performing optimally.
- Licensing: annual subscription model based on the user count.
- SaaS Deployment: Meta data, analytics, insights, audit logs, alerts, allowlisting, and enrichment stored in Anvilogic Alert Lake.
- Ability to search, query data, and deploy detections across multiple SIEMs and/or cloud data lakes.
- Able to automatically tag, normalize, and enrich detections before storage for optimal correlation.
- Highly flexible, open API platform that integrates with many existing security technologies.
- Supported Data Platforms: Splunk (On-Prem & Cloud), Azure Sentinel, Azure Data Explorer, Microsoft Fabric, Azure Log Analytics, Snowflake (AWS, Azure, GCP).
- SOAR Integrations: Torq, Tines, XSOAR, Swimlane, more.
- Case Management Integrations: Jira, ServiceNow.
- Security Vendor Integrations: Crowdstrike, Proofpoint, Palo Alto Cortex, Tanium, VMware Carbon Black, Microsoft Defender, StackRox, DarkTrace, SentinelOne, ReversingLabs, Hunters, Abnormal Security, and more.
- We supply detections across multiple data repositories, allowing you to easily query different sources and centralize them for seamless correlation in one location.
- SecOps Companion trained across various SOC personas for investigation & detection building assistance.
- Access to common tools and data sets used by analysts for triage ex) VirusTotal, Shodan, IPInfo, and more.
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