Augment SIEM

AI SOC Modernization

Your tools stay. Your detections get sharper. Your SOC workflows accelerate. Automate what slows you down.

The World's Best SOC Teams Use Anvilogic

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SOC Modernization for

Detection engineering is essential  but painfully slow.
Our 2025 State of Detection Engineering Report reveals that while 80% of organizations are actively investing in detection engineering, only 14% can build and deploy new detection rules in under a week.
Manual SecOps vs. AI SOC
Smarter Detection Engineering Ops
Detection Engineering Lifecycle Management
Takes Days or Weeks...
Concept
Threat Reports
Threat Hunting
Regulations and Compliance
Pentest & Red Team Exercises
Research
Detection Value Analysis
Data Feasibility Analysis
Detection Engineering
Backlog
Build & Validation
Detection Models
Integrations
Delivery
Release Management
Deployment
Optimization
Metrics Gathering & Reporting
Quality Control
Triage & Investigation Updates
Feature & Bug Requests
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Performed in Minutes
Prioritize
Threat Intel to Prebuilt Detections
Continuously updated detections organized by threat group, vertical, and domain — enriched with smart AI recommendations curated for your data feeds.
Streamline
Build, Test, Deploy with Detection-as-Code
Build, test, and deploy detections in SPL, KQL, and SQL with version control and open collaboration. Visual builders accelerate workflows while keeping detections flexible and code-ready.
Triage
Automated Response, Reduced Noise
AI-driven triage and investigation support cut false positives, surface context, and lighten analyst fatigue so teams can move from alert to action in minutes.
Scale, Mature & Improve
Continuous Coverage & SOC Maturity
Automate tuning and MITRE coverage reporting with AI insights. Strengthen ROI by scaling detection engineering practices across any SIEM or data lake.
Use proven detection logic to 10x your coverage.
We prioritize detections specific to your environment, aligned with your assets and threat landscape. Our purple team delivers weekly MITRE-mapped content, and our AI engine recommends what to deploy based on your connected data feeds.
Scale detection management across your team with CI/CD principles.
Manage your detection content, authorship, versioning across your stack. Revert back to previous versions, test before deployment all with software development lifecycle principles.
Correlate notable events with EDR, identity, cloud, and other alert sources.
Reimagine atomic alerts across multiple vendors. Correlate Splunk notable events with signals from identity, EDR, and email to chain multi-stage behaviors into complete attack narratives.
 Agentic triage that cuts 45% of alert noise, with 98% confidence.
 We believe better detection logic means fewer alerts and faster incident response. Our Triage Analyzer agents automatically enrich every alert we generate allowing you faster time priority.
Automate the toil of SIEM maintenance tasks like tuning and data stack plumbing.
Keep integrations and rules actively running and healthy eliminating tedious dependency babysitting with ML generated recommendations and allowlisting fixes.
Track detection maturity with unified MITRE reporting.
Continuously measure technique coverage, maturity, and gaps across your stack. See progress over time, align detections to MITRE ATT&CK, and prioritize where to build next with data-driven confidence.
Case Study
How PayPal Defends & Detects Across the Threat Landscape
As a multi-year Anvilogic customer, PayPal has refined its approach to behavioral detection. Learn how the team builds attack-pattern scenarios, correlates use cases across data domains, and strengthens defenses against the compromise patterns shaping the financial industry.
Hybrid Architecture
Adopt a modern data lake at your own pace
Our SIEM modernization path helps you streamline data integration and analytics by supporting gradual adoption across your existing tools. Easily connect to modern data lakes without rearchitecting your stack.

What Our Customers Are Saying

“Our detection engineering & SOC analysts love Anvilogic, our core SOC platform for all things detection & triage. Their AI investments this year have been very aligned with our future direction to automate with AI agents.”
Lucas Moody
CISO
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“Anvilogic is central to our SOC strategy; especially as we diversify our data strategy to include data lakes, Anvilogic allows us to seamlessly continue our SOC operations while providing our analysts the capability to reach across data repos and fulfill our detection & triage goals.”
Security Leadership
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“With the Anvilogic platform, we’ve been able to improve our SOC maturity score tremendously, which has been instrumental in increasing visibility across our platforms and ultimately reducing overall risk.”
Brent Williams
Chief Information Security Officer
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"Anvilogic significantly reduces the learning curve when building SQL-based detections and has instilled greater confidence in our detection engineering process.

By augmenting the low/no-code builder and AI chatbot in our detection engineering process, it has enabled us to reduce the end-to-end detection building time by half."
Tim Yip
Head of Cybersecurity Services
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“When we hit an impasse with our repo provider, we were able to pivot quickly. This situation actually proved the value of our setup with Anvilogic. That flexibility is exactly why having an agnostic detection layer matters...knowing Anvilogic can support us through change, whether it's Snowflake or Databricks, is incredibily reassuring.”
Security Leader
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“As an experienced SOC Analyst and now a Detection Engineer, I know firsthand the challenges of managing a large Security Operation without the right tools. In my opinion, Anvilogic has been one of the most valuable assets to Security Operations that give confidence and pride to us as Detection Engineers.”
Security Detection Engineer
Telecommunications
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“Anvilogic modernized our SOC operations with their platform running on our Snowflake data. Their strategy is aligned with ours to automate as much as possible, and be agnostic to where the data resides.”
CISO
SIEMENS
“There are things we're doing in Anvilogic that would've taken months (or never) in Splunk ES. What used to take days now takes mostly hours. In just a few week, Anvilogic surfaced 867 detection use cases ready to deploy and customized to our environment. Writing those in Splunk would've taken a long time because of the complexity, Anvilogic brings together multiple data streams and builds threat detection from them. One use case we built for FileZilla FTP we had been trying to write for months, he got done in just an hour. ”
Director of Platform Engineering
SIEMENS
“Anvilogic provided the necessary threat detection automation for our small SOC, adding a significant force-multiplier advantage for my team.”
Lucas Moody
Ebay Logo
“The product is easy to follow and has a great flow. I didn’t know some of these features could exist.”
SOC Manager
Fortune 500 Global Retailer
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“Anvilogic is a great solution to quickly scale up threat detection coverage without having security engineers reinvent the wheel - so that they can focus on other areas. We've worked very closely with AVL as one of their early customers, and the experience has been nothing short of great.”
SOC Team Member
Enterprise Financial Services
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"Using Anvilogic we were able to successfully expand our data lake strategy by complementing our legacy SIEM and new data lake yet having one cohesive detection & triage platform approach for our analysts. This greatly reduced our cost structure and moved us closer to modernizing our SOC."
Roland Costea
VP of Security
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"The impacts that AI makes across the detection lifecycle, from tuning, to reducing false positives in alert monitoring, to leveraging a cost-effective lakehouse, fundamentally transform the detection engineering process

We were early adopters of the unified workflow Anvilogic and Databricks provide and have been able to  transform detection engineering outcomes into business enablers recognized at the board level."
Roland Costea
Chief Information Security Officer ECS
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“Allowlisting, version control, and easy rollout of detections made Anvilogic stick out. These are features that our SIEM was severely lacking.”
Jason Murphy
VP Information & Cyber Security
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“One of my dream companies is not currently using Anvilogic, which is preventing me from transferring there at this time. However, I am hopeful that I will be able to introduce them to Anvilogic and its many benefits in the future.”
Detection Engineer
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Ready to start your SIEM modernization journey?

Get started in minutes or talk to our team to build a phased plan for your data lake journey.

Clear, flexible pricing

Pay only for what you use with flexible plans that grow with your data strategy.
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Fast proof of value

Connect and explore real or synthetic data across platforms in just a few hours, no long setup required.
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Get the Latest Resources

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Report
2025 State of Detection Engineering Report
The 2025 State of Detection Engineering Report reveals key trends & challenges in detection engineering—from AI adoption to skill gaps and data access.
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Solution Guide
How Anvilogic applies
Detection-as-Code in their Framework
Understand the current challenges of the detection engineering lifecycle and learn how Anvilogic helps detection engineers use modular components to build, deploy, and manage threat detection logic in a structured, automated, and scalable way.
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Solution Guide
Streamline Your Detection Engineering
Understand the current challenges of the detection engineering lifecycle and learn how Anvilogic helps detection engineers augment their Splunk or other SIEM deployments to create more accurate detections and hunt more effectively.
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