Anvilogic + Databricks

Navigate your data stack with advanced correlations that chart new paths between data science and enterprise-scale threat detection.

The World's Best SOC Teams Use Anvilogic

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Correlated Threat Detection at Scale

Build Behavioral Detections with Detection-as-Code

Build and deploy detections in minutes with our intuitive drag-and-drop Custom Detection Builder, creating precise behavioral attack patterns without needing advanced SQL skills. Prefer coding? Build in PySpark and deploy directly to your lakehouse with seamless integration.
Achieve great detections with a complete Lakehouse and Detection-as-Code pairing to automate tracking, governance, MITRE ATT&CK mapping, testing, and version control for auditability & rollback.  
Chain together MITRE-mapped detections and custom use cases across multi-stage scenarios, simplifying advanced correlation and detecting sophisticated attacks with max accuracy and impact.
Get started by accessing thousands of easily deployable, out-of-the-box SQL use cases on Databricks and customize them to align with your threat priorities.

Spot ATT&CK Weak Links and Get Tailored Recommendations

Leverage our Detection Coverage Maturity Scoring for strategic threat modeling tailored to your unique industry, infrastructure, assets, and regions. With Databricks, you can keep security data in its original cloud and region, reducing egress costs and enabling unified detection creation.
Force-multiply your efforts with our Threat Detection Library, an armory of thousands of out-of-the-box rules tested and validated by our purple team,
while our AI Copilot suggests available detections that match context-aware feeds that are active in Databricks.
Easily visualize your existing detection coverage across all focal control points mapped to MITRE ATT&CK and threat groups so you can easily report your organization’s coverage against any TTP
or threat actor group.
Spot weak links in your MITRE ATT&CK coverage, including missing data feeds, threat groups targeting your sector, and gaps in detection. Visualize these issues in real-time and identify the data sources needed in Databricks to close critical detection gaps.

Deploy Smarter Multi-Layered Detections

Detect multi-stage TTPs and attack patterns by leveraging correlated Threat Scenarios that connect point detections into meaningful results, preventing sophisticated threats from going unnoticed due to alert fatigue.
Build advanced Threat Scenarios easily by linking vendor alerts, queries, and intel-enriched detections on a drag-and-drop canvas. Map correlations to MITRE ATT&CK and align your detections to industry standards for comprehensive kill chain coverage.
Detect and hunt more effectively across multiple cloud platforms, data lakes, and log repositories, and bridge detection gaps without centralizing data.
Access CI/CD-tested scenarios tailored to your use cases and feeds within your Databricks tenant and leverage our weekly rule updates aligned to emerging threats and mapped to MITRE techniques.

Predictive Tuning Recommendations

Constantly evolving environments due to new technology adoption, which creates new telemetry, can complicate your detection logic. Detections need regular updates and fine-tuning to stay effective, which often takes hours and even dedicated FTEs to execute to completion.
We’ve experienced this pain and tackled it head-on with our machine learning (ML) models, which continuously monitor data feed health, provide hunting and tuning insights, and deliver allowlist recommendations whenever alert volumes go up.
Anvilogic’s Copilot provides how-to guidance on correlating your detection output into threat scenarios that create better triage outcomes, while also continuously tuning, monitoring health, and reviewing detection results to improve accuracy.
Leverage our Detection Engineering Lifecycle Workbench, equipped with advanced version management and control features that easily tag, enrich, and seamlessly track the evolution of your detections.
On Demand Webinar

SAP’s Playbook for AI-Native Threat Detection with Anvilogic and Databricks

Tuesday, June 3, 2025 | 10 AM CST

AI isn’t just the future of detection engineering — it’s how forward-thinking enterprises like SAP are operationalizing it today.

In this exclusive fireside-style webinar, we sit down with SAP’s security leadership to explore how they scaled detection engineering across clouds using Anvilogic’s AI-powered platform, seamlessly integrated with Databricks.
Watch Now
Roland Costea
CISO @ SAP

How Anvilogic for Databricks Works

Diverse threats demand diverse data sets — and smarter ways to act on them. Anvilogic integrates seamlessly with Databricks, empowering your SOC to detect, triage, and investigate threats at scale with the help of AI agents built for modern detection engineering.

Together, Anvilogic and Databricks enable you to tailor threat models to your unique risk profile by leveraging insights across your industry, sector, and attack surface — all configured through threat prioritization and automated triage from day one.

This partnership helps you stretch your data’s potential without stretching your budget. With Anvilogic, you can continuously assess data source gaps, surface meaningful signals, and focus investigations on high-risk areas streaming in your lakehouse.
Explore Solution Brief

Anvilogic + Databricks

Databricks Press Release
Shaping the Future of SOC: Databricks Ventures Invests in Anvilogic
Databricks Ventures has invested in Anvilogic, a next-generation Security Operations Center (SOC) platform that helps organizations modernize detection engineering and triage by leveraging AI and automation across both SIEMs and data lakehouses.
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Databricks & Anvilogic Customer Story
Integrating AI into the Threat Detection Lifecycle
SAP Enterprise Cloud Services (ECS) runs one of the world’s largest private clouds, managing over 200,000 virtual machines. Using a legacy SIEM, SAP ECS struggled to keep up with significant data growth while juggling high ingestion costs and manual threat detection workflows. Anvilogic and Databricks flipped the script.
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Anvilogic Press Release
Anvilogic Named Databricks Growth Built on Partner of the Year
Anvilogic, AI SOC platform for detection has been named 2025 Growth Built on Partner of the Year, a recognition that honors the companies' shared mission to rewire the security stack with AI, modular detection logic, and full data visibility, minus the lock-in.
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The AI SOC Layer for Databricks

The AI SOC Layer for Databricks