Anvilogic

Anvilogic is a cybersecurity company focused on modern security operations. Its AI SOC platform helps security teams build detections, triage alerts, and improve operational maturity across existing SIEMs, security data lakes, and hybrid or multi-cloud environments. Rather than forcing a rip-and-replace approach, Anvilogic acts as a flexible analytics and triage layer that lets organizations keep data where it already lives while extending detection coverage.

The company’s positioning centers on detection engineering, cross-platform correlation, and AI-assisted SOC workflows. Anvilogic combines detection-as-code, curated threat content, automated tuning, and AI-driven triage to help teams reduce alert noise, accelerate investigation, and modernize beyond legacy SIEM constraints. Its architecture is designed for enterprises that want stronger detection outcomes, better cost control, and more freedom in how they use platforms such as Splunk, Microsoft environments, Snowflake, and Databricks.

Offerings, Capabilities, and Integrations

Anvilogic’s core offering is an AI-native detection and triage layer that supports the full detection engineering lifecycle. It enables teams to create, test, deploy, tune, correlate, and maintain detections across multiple data platforms while aligning coverage to MITRE ATT&CK and measuring maturity over time. The platform also applies AI to alert enrichment, prioritization, workflow automation, and ongoing health monitoring so analysts can focus on higher-value decisions instead of repetitive operational work.

Anvilogic is built for heterogeneous security stacks. It supports deployments spanning SIEMs, cloud log repositories, and security data lakes, with documented support across Splunk, Microsoft Sentinel, Azure Data Explorer, Azure Log Analytics, Microsoft Fabric, Snowflake, and Databricks. It also integrates with operational and response tools such as Tines, Torq, Cortex XSOAR, Splunk SOAR, Jira, and ServiceNow, plus telemetry and enrichment sources including AWS CloudTrail, Google Cloud Security Command Center, CrowdStrike, Microsoft Defender, SentinelOne, Okta, Wiz, and Cribl.

Products and Services

• AI SOC Platform: Anvilogic’s flagship platform for detection engineering, alert triage, and SOC workflow automation across SIEMs, data lakes, and hybrid or multi-cloud environments.
• Unify: A SIEM modernization offering that bridges existing SIEM deployments with data lakes such as Snowflake, Databricks, and Azure data services for cross-platform correlation and phased migration.
• Blueprints: A workflow automation layer that lets analysts turn investigation, tuning, and response procedures into reusable, executable workflows inside the Anvilogic platform.
• Monte Copilot: A generative AI assistant for detection engineering, threat hunting, and triage that helps users generate queries, investigate artifacts, and work faster across connected tools and data models.
• Custom Detection Builder: A low-code detection-as-code builder for creating, testing, and deploying custom point and multi-stage detections across SPL, KQL, and SQL environments.
• Threat Detection Library: A library of prebuilt, customizable detections curated by Anvilogic and updated regularly, with MITRE mapping and deployment support across multiple logging and data platforms.
• Detection Coverage Maturity: A maturity and reporting capability that scores SOC detection posture, tracks coverage over time, identifies gaps, and connects data feed health to MITRE-aligned detection outcomes.
• Automated Detection Tuning: An AI-assisted tuning capability that monitors deployed rules, detects drift and noise, surfaces health issues, and recommends changes to improve accuracy and reduce false positives.
• Correlated Threat Scenarios: A correlation capability for building and deploying multi-stage attack detections that connect alerts, queries, and threat intelligence across domains and platforms.
• Threat Prioritization: A threat-informed defense framework that helps organizations map assets, platforms, threat groups, and data feeds to prioritize detection investments and deployment recommendations.
• AI Workflows: Agentic workflows that automate SOC tasks across onboarding, detection engineering, maintenance, investigation, and response using AI-driven orchestration.

Target Customers

Anvilogic primarily targets enterprise security operations teams that need to improve detection quality without overhauling their existing stack. Its platform is designed for detection engineers, threat hunters, SOC analysts, and security leaders responsible for managing alert quality, detection coverage, and SIEM modernization across large or distributed environments.

The strongest fit is organizations operating hybrid, multi-cloud, or multi-repository security architectures, especially those balancing legacy SIEM investments with newer data lake strategies. Anvilogic is relevant for enterprises with high log volumes, complex telemetry estates, and a need to correlate signals across endpoint, identity, cloud, and infrastructure sources while controlling cost and reducing operational friction.

Cloud Integrations and Marketplace

• AWS Marketplace: Anvilogic has an active AWS Marketplace presence for its platform, providing a procurement path for its multi-SIEM detection and security analytics offering.
• Microsoft Azure Marketplace: Anvilogic is listed in Microsoft Azure Marketplace with marketplace offerings tied to its multi-SIEM detection platform and Microsoft-centric security operations use cases.
• Microsoft Azure: Anvilogic documents support for Azure Data Explorer, Azure Log Analytics, Microsoft Fabric, and Microsoft Sentinel as part of its Azure and hybrid reference architectures.
• Google Cloud Security Command Center: Anvilogic offers an integration that uses Google Cloud Security Command Center context for enrichment within the platform.

Key People

• Karthik Kannan: CEO / Founder
• Deb Banerjee: CTO / Co-Founder
• Ben Beebe: CFO
• Ben Smith: SVP of Engineering
• Mackenzie Kyle: VP of Product
• Omer Singer: VP of Strategy
• Dalton Roth: VP of Sales
• Jennifer Ellard: VP of Marketing
• Kevin Gonzalez: VP of Security, Operations, and Data
• Michael Monte: VP of Customer Success & Sales Engineering
• Jenni Hamilton: VP of Business Operations

Key Facts

• Headquarters: Palo Alto, California, United States
• Employees: 107
• Annual Revenue: $10M-$20M (estimated)
• Parent Company: None
• Subsidiaries: None
• Publicly Listed: Private