Anvilogic + Databricks:
Exploring New Horizons in Correlated Threat Detection
Unlock the power of Anvilogic and Databricks to weave seamless narratives across your hybrid ecosystems. Combine Databricks with Anvilogic's advanced correlation framework to break silos, transform isolated point detections into meaningful results, and elevate your detection engineering. Navigate your data stack with correlations that chart new paths between data science and enterprise-scale threat detection.
The World's Best SOC Teams Use Anvilogic
Correlated Threat Detection at Scale
Build Behavioral Detections with Detection-as-Code
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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.
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.
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.
How Anvilogic for Databricks Works
Diverse threats demand diverse data sets. Anvilogic integrates seamlessly with Databricks, enabling your team to tailor threat models to your unique risk profile by leveraging critical insights about your industry, sector, and attack surface — all configured via threat prioritization from day one.
The Databricks and Anvilogic partnership helps you stretch your data’s potential without stretching your budget. Our platform empowers you to assess data source gaps and focus on high-risk areas based on the active data feeds streaming in the lakehouse.
From threat detection flexibility to powerful manipulations to asking important questions, our Databricks integration enables you to unlock the full potential of your data over extended periods at petabyte scale, giving you the freedom to explore, create, and turn raw potential into real discoveries.
The Databricks and Anvilogic partnership helps you stretch your data’s potential without stretching your budget. Our platform empowers you to assess data source gaps and focus on high-risk areas based on the active data feeds streaming in the lakehouse.
From threat detection flexibility to powerful manipulations to asking important questions, our Databricks integration enables you to unlock the full potential of your data over extended periods at petabyte scale, giving you the freedom to explore, create, and turn raw potential into real discoveries.
Explore Solution Brief
Anvilogic + Databricks
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