Anvilogic
Automated threat detection and response with machine learning.. [Contact for Pricing]
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What is Anvilogic?
Anvilogic is an AI SOC platform that unifies detection engineering, triage, and AI-driven security analytics for enterprise security operations centers. The platform automates detection engineering, lifecycle management, and intelligent triage, helping SOC teams build, tune, and automate detections across any SIEM or data lake without vendor lock-in or data silos.
Key features include AI agents for search, build, tune, triage, and manage workflows; Detection-as-Code framework for versioning and deploying detections; 1,200+ pre-built MITRE ATT&CK-mapped detections; automated rule tuning with continuous environment-aware optimization; agentic triage that cuts 45% of alert noise with 98% confidence; hybrid architecture supporting Splunk, Snowflake, Databricks, Sentinel, and Azure Data Explorer; real-time SOC maturity scoring; and Blueprints for no-code security workflow automation.
Anvilogic is designed for enterprise SOC teams, detection engineers, threat hunters, and security operations teams modernizing beyond legacy SIEMs or building their first SOC. It serves startups and cloud-native companies, organizations using Microsoft stacks (Sentinel, Log Analytics, Fabric), and teams seeking to shift high-volume use cases to cost-effective data lakes while maintaining full coverage.
Anvilogic pricing
Pricing model: Freemium
Anvilogic is available via annual subscription. The platform offers a 30-day free trial that lets you see the AI-powered detection engineering and hunting platform in action with your own data. There is no permanent free or freemium version. Pricing details require contacting sales. The hybrid licensing model supports both SIEM and data lake architectures. Cost savings of 80% compared to legacy SIEMs do not include Anvilogic annual licensing. Snowflake costs are based on Snowflake enterprise-level licensing (additional cost). Splunk costs exclude storage, infrastructure, management, and maintenance of Splunk infrastructure.
Anvilogic pros
- 60-80% reduction in detection engineering effort
- 5-6x faster detection build time
- 90% reduction in alert volume with 5x faster MTTD
- 80% lower cost than legacy SIEMs
- Works across Splunk, Snowflake, Databricks, Sentinel, Azure without replatforming
- 1,200+ pre-built MITRE ATT&CK-mapped detections ready to deploy
- No data centralization required - keeps data in your cloud
- Detection-as-Code framework for versioning and testing before deployment
- AI agents automate search, build, tune, triage, and manage workflows
- 98% accuracy in benign alert identification
- Cut 45% of alert noise with 98% confidence in triage
- Real-time SOC maturity scoring with MITRE ATT&CK coverage visibility
- Blueprints enable no-code workflow automation authorable by analysts
- 20K+ analyst hours saved annually through automation
- Hybrid licensing supports both SIEM and data湖 architectures
- 90%+ cost savings via hybrid optimization
- 5 hours to determine detection coverage vs 1,000+ hours manually
- 87% faster time savings in building and testing detections
- Zero vendor lock-in with decoupled detection layer
- Automates tedious rule maintenance and continuous tuning
Anvilogic cons
- Annual subscription required - no monthly billing option
- No permanent free tier - only 30-day free trial available
- Snowflake costs based on enterprise-level licensing (additional cost)
- Requires Snowflake admin permissions for Snowflake integration setup
- Free trial requires Sales Engineer session for log data connection
- Splunk app installation not included in free trial
- Contact sales needed for pricing details - no transparent public pricing
- May require phased SIEM modernization planning for complex environments
Frequently asked questions about Anvilogic
What is Anvilogic?
Anvilogic is an AI SOC platform for detection and triage that delivers automated detection engineering, lifecycle management, and intelligent triage to enterprises. It unifies detection engineering, triage, and AI-driven security analytics across any SIEM or data lake without vendor lock-in or data silos. The platform uses AI agents to automate search, build, tune, triage, and manage workflows.
What SIEMs and data platforms does Anvilogic support?
Anvilogic seamlessly supports Splunk, Snowflake, Databricks, Microsoft Sentinel, Log Analytics, Fabric, and Azure Data Explorer. It works in hybrid configurations, allowing you to correlate across platforms and shift high-volume use cases to cost-effective data lakes while maintaining full coverage without replatforming.
How does the Detection-as-Code framework work?
Detection-as-Code allows you to version, tailor, and test detections before deploying across any data platform. You can drag and drop filter components or use an agentic workbench where agents extract behaviors and build SPL/KQL/SQL logic, validating it instantly. Every detection is powered by this framework for standardized logic across platforms.
What is the Proof of Value (POV) evaluation?
The POV is a proof of value evaluation where you connect and explore real or synthetic data across platforms in just a few hours with no long setup required. It includes weekly detection engineering sessions with a dedicated Anvilogic Sales Engineer for feedback, technical support, and use case exploration. You instantly baseline current coverage, deploy prioritized content to boost coverage by 50%, and visualize coverage gains in as little as two weeks.
How do AI agents work in Anvilogic?
Anvilogic uses semi- and fully autonomous AI agents that automate specific persona workflows: Search (across data repos using natural language, schema-aware and optimized), Build (detection-as-code auto-deployed to SIEM or data lake), Tune (continuous environment-aware auto-tuning with allow-listing), Triage (auto-triage alerts with rich context, high precision, guidance and explainability), and Manage (simple data onboarding and auto-ETL/normalization across supported repos). Agents enrich entity and identity context, score severity, and auto-prioritize response.
What is SOC maturity scoring?
Real-time SOC maturity scoring gives teams continuous visibility into their detection posture mapped against their most critical threats. The platform continuously assesses MITRE ATT&CK coverage, detection gaps, and recommends net-new content. Customers have achieved 90% SOC maturity score (up from 19%), with 5 hours to determine detection coverage versus 1,000+ hours manually.
How does Anvilogic reduce alert fatigue?
Anvilogic cuts 45% of alert noise with 98% confidence through agentic triage. Alerts are enriched with industry-framework triage protocols, dressed with verdict, context, and priority so cases arrive ready for action. This results in 90% reduction in alert volume, 43% reduction in alerts requiring manual review, and 98% accuracy in benign alert identification, significantly easing alert fatigue.
What are Blueprints?
Blueprints is Anvilogic's workflow automation capability launched in 2026 that enables analysts to create and deploy no-code security workflows. Analysts can author automation in natural language, deploy it the same day, and have it execute across data onboarding, detection engineering, threat hunting, investigation and response. Blueprints are specialized AI agents for specific security domains, built by senior analysts and run by the entire team.
How much cost savings can I expect?
Customers experience 80% lower cost than legacy SIEMs and 90%+ cost savings via hybrid optimization. One customer achieved $600K total savings in detection efficiency within the first year. Cost savings eliminate the hassle of maintaining detections and get 8,000+ hours back per year. However, cost savings do not include Anvilogic annual licensing, and Snowflake costs are based on enterprise-level licensing.
Who is Anvilogic built for?
Anvilogic is built for enterprise SOC teams, detection engineers, threat hunters, and security operations teams modernizing beyond legacy SIEMs or building their first SOC. It serves startups and cloud-native companies that ship faster detections and automate workflows, organizations using Microsoft stacks wanting to automate rule tuning and close detection gaps, and teams seeking to extend coverage while controlling costs with full freedom over SOC architecture.