Build Detections You Want, Where You Want
Anvilogic applies a modular detection-as-code approach with AI agents to recommend, deploy, and optimize detections across hybrid SIEMs & data lakes.

See How Anvilogic Works


The World's Best SOC Teams Use Anvilogic





Your detection engineering lifecycle is slow, painfully manual and using fragmented SIEM data — and it's putting you at risk.
You’re truncating logs to save on Splunk costs—or maybe forking them to S3, where they sit as dark data, uncorrelated and undetected.
You’ve thought about handing detection to an MSSP—but they can’t keep up with your changing environment. And let’s be honest: headcount isn’t growing next year.
You’re automating with SOAR—but still drowning in alerts. Bad detections flow downhill. You can’t automate your way out of noise.

Infusing AI Agents into Your
Detection Engineering Lifecycle
Define your profile—and your agent surfaces detections for emerging threats and telemetry gaps.
AI aligns your existing detection coverage to your threat priorities.
Quickly build cross-platform correlations to improve your alert quality.
Optimize detections—reducing human errors and enabling detection engineers to scale their impact.
The Agentic
Detection Engineering Platform



Low-code
Detection-as-Code Builder
(SPL, KQL, SQL)
(SPL, KQL, SQL)

SecOps Copilot
Auto-Prioritize High-Risk TTPs
Which threat group tactics, techniques, procedures matter most?
Dynamic Telemetry Coverage Analysis
Which data sources are required to detect prioritized TTPs?
Agent-Led Detection Coverage Mapping
What gaps exist in your current coverage against those threats?
Close Gaps with Targeted Recommendations
Are you acting on the right gaps, or just guessing?
AI-Based Detection Lifecycle Management
2,500+
Pre-Built Detections

MITRE ATT&CK Embedded

Products for Every Stage of Detection Engineering Journey
Detect
Accelerate
Detection Engineering Maturity
with AI Agents
Anvilogic applies an agentic approach—using AI agents to map threats, assess telemetry, and recommend detections tailored to your environment. Deploy pre-built rules, automate tuning, and orchestrate detection workflows to improve accuracy and stay ahead of emerging threats.




Unify
Close Detection Gaps Without Breaking Your SIEM Budget
Forking data to cheaper storage creates dark data that isn’t used for threat detection. With Anvilogic, your team can keep using Splunk or Sentinel while running detections across scalable, cost-effective data lakes like Snowflake, Databricks, or Azure Data Explorer—enabling cross-platform correlation with minimal disruption and up to 80% in cost savings.

Benefits Experienced by Our Customers
$1.2M
saved
Cost savings. Eliminate the hassle of maintaining detections and get 8000+ hrs back per year.
Get the Same Results
5
minutes to deploy
Time saved. Average time from trending threat to new detection deployment.
View Case Study
+70%
ATT&CK coverage
Improved coverage. Average technique coverage improvements mapped via the MITRE ATT&CK.
View Case Study

The Platform That Loves Detection Engineers Back


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.
Read the Report
On-Demand Webinar
Revolutionizing the SIEM: How Data Lakes Are at the Center of a Modern Security Architecture
Listen to Roland Costea, CISO of SAP, discuss how a security data lake can optimize your SIEM spending while effectively managing threats at scale.
Watch Now
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.
Read the Guide