Ranked No. 1 AI SOC Platform on PeerSpot

Same Team, 5x the Output

From raw event to response, AI agents can now intelligently orchestrate complex detection engineering + IR tasks across your hybrid stack.

Check out our Blueprints

Anvilogic SOC Platform

Monte AI Assistant

Blueprint Workflow Automation

Data Management

Detection Engineering & Maturity Maintenance

Investigation & Response

Now in Early Access

Bring Your Technologies

Any Pipeline

Supported Lake Houses

Supported SIEMs

Any SOAR

Smarter Detections. Faster Response.

Data Management

Detection Engineering

Health Maintenance

Investigation & Response

Data Onboarding & Pipeline

Faster Data Onboarding

The Problem

Onboarding a new data source takes weeks of manual parsing, mapping, and validation. Inconsistent schemas across platforms break detection logic and correlation rules. Your data engineering team becomes a bottleneck every single time a new source enters the pipeline.

The Anvilogic Advantage

AI driven normalization automates schema mapping, field standardization, and ETL pipelines across your data stack. New data sources go from raw to query ready in hours. Typical annual savings: $50K to $150K in data engineering efficiency.

From Natural Language
to Prod in Minutes

10x

Faster Detection Deployment

The Problem

Writing a single custom detection takes 40 or more hours when you factor in manual correlation logic, syntax troubleshooting, and cross platform testing. Detection engineers spend more time fighting SIEM syntax than researching actual threats. Coverage gaps compound as new TTPs emerge faster than your team can build rules to catch them.

The Anvilogic Advantage

Over 3,000 pre built detections mapped to MITRE ATT&CK are deployable in minutes across any data lake or SIEM. AI driven search automates threat hunting and correlation across Snowflake, Splunk, Sentinel, and beyond. Platform agnostic detection. Typical annual savings: $100K to $500K in detection engineering efficiency.

Precision Tuning. At Query Speed.

80%

Reduction in Tuning Time

The Problem

Deployed detections degrade silently. Field mismatches, schema drift, and shifting environment baselines mean rules that fired correctly last quarter are producing noise or missing coverage today. Detection tuning is the most skipped SOC function. Difficult to do it manually across hundreds of rules.

The Anvilogic Advantage

Tuning agents continuously evaluate every deployed detection for field accuracy, query efficiency, and false positive rate. They flag what is broken, what is bloated, and what is generating noise before your analysts notice. Your team sees a prioritized list of recommended changes. They approve. Detection fidelity holds as your environment evolves.

Plain Language SOC Automation Built on Hybrid Architecture

Blueprints is a drag and drop workflow builder that lets your team write investigation procedures, threat hunting sequences, and detection maintenance tasks in plain language and hand them to AI agents to execute. No scripting. No SOAR engineers. No playbook debt. Just your operational knowledge, automated at scale.

The Problem

Every mature SOC has experienced analysts who know exactly how to investigate an alert. Pull context, check the asset, query threat intel, look for lateral movement, escalate if conditions are met. That sequence exists everywhere. It just lives in a PDF, in someone's head, or in a Confluence page nobody has touched in a year. When that analyst is unavailable, the whole team slows down.

The Anvilogic Advantage

Write an investigation, hunting, or detection engineering sequence once in plain language. Blueprints converts it into an executable workflow that runs across your CMDB, Jira, VirusTotal, AI agents, and any MCP connected tool your analysts rely on. Orchestrate standard runbooks the same way or dynamically. Capture your best analyst’s expertise and judgment, automate the execution.