Anvilogic is an AI-driven platform designed to modernize security operations centers (SOCs) by unifying threat detection, hunting, and automation across hybrid SIEM and data lake environments. Built for scale and flexibility, Anvilogic helps security teams deploy effective detections, reduce alert fatigue, and automate workflows across complex data ecosystems.
The platform enables SOC teams to evolve from reactive, rule-based detection methods to intelligent, use-case-driven detection engineering—powered by AI, community insights, and multi-platform support. By unifying tools and processes into a single interface, Anvilogic addresses the needs of modern threat detection across cloud, on-prem, and hybrid environments.
Features
Anvilogic delivers a comprehensive set of features that empower threat detection teams to operate faster and more intelligently:
AI-Driven Detection Engineering: Automatically generate, refine, and deploy detection logic using AI assistance and community-curated content.
Multi-SIEM & Data Lake Support: Write once, deploy anywhere—Anvilogic supports Splunk, Microsoft Sentinel, Snowflake, Sumo Logic, and others.
Threat Hunting Workbench: A centralized, structured environment for proactive hunting, pivoting, and investigation.
Use Case Library: Access hundreds of prebuilt detection use cases aligned with MITRE ATT&CK, tuned for specific environments.
Detection-as-Code: Versioned, testable detection logic managed via CI/CD pipelines.
Automation & Orchestration: Streamline triage and response workflows through integrations with SOAR platforms and playbooks.
Model-Assisted Prioritization: Leverage machine learning to score and prioritize threats based on risk and context.
Team Collaboration: Role-based access and shared workspaces for detection engineers, hunters, and analysts.
Detection Coverage Heatmaps: Visualize detection gaps and coverage across ATT&CK TTPs and data sources.
How It Works
Anvilogic connects directly to your existing SIEMs and data lakes without requiring data movement. Once connected, teams can:
Design & Deploy Detections: Use Anvilogic’s no-code/low-code detection builder or adopt community templates aligned with MITRE ATT&CK.
Test & Validate: Simulate detection performance using built-in testing capabilities or historical data queries.
Deploy Across Platforms: Automatically deploy detections to multiple SIEMs from a single interface.
Automate Response: Use playbooks and integrations with SOAR tools to automate incident handling.
Monitor & Optimize: Continuously assess detection efficacy, coverage, and reduce false positives using feedback loops.
This approach allows for scalable and consistent detection management, eliminating redundancy across multiple tools and teams.
Use Cases
Anvilogic serves a variety of security teams and environments, including:
Enterprise SOCs: Centralize detection engineering across hybrid cloud and on-prem infrastructures.
MSSPs: Manage multi-tenant threat detection environments more efficiently.
Financial Institutions: Monitor critical infrastructure with high-fidelity, risk-prioritized detections.
Healthcare Providers: Detect and respond to threats while complying with HIPAA and data residency requirements.
Cloud-Native Companies: Streamline detection coverage across AWS, Azure, and Google Cloud using unified workflows.
Security Engineering Teams: Automate testing, versioning, and deployment of detection rules with CI/CD principles.
Pricing
Anvilogic uses a custom enterprise pricing model based on:
Number of supported data platforms (e.g., SIEMs, data lakes)
Size and activity of the security operations team
Number of use cases and volume of detections
Add-ons such as threat hunting modules or premium support
There is no free or publicly listed tier. Organizations interested in exploring the platform can schedule a demo or request a tailored pricing proposal at:
👉 https://www.anvilogic.com/contact
Strengths
Multi-SIEM Compatibility: One of the few platforms that truly enables write-once, deploy-anywhere detection engineering.
AI-Powered Efficiency: Saves significant time in detection development and optimization.
Community & Content Library: Rich set of prebuilt use cases helps teams get started quickly.
Developer-Friendly Tools: Support for detection-as-code and CI/CD pipelines appeals to modern security teams.
Collaborative Platform: Facilitates cross-functional work among security engineers, analysts, and responders.
Reduced Alert Fatigue: Intelligent scoring and validation help prioritize the most important threats.
Drawbacks
Enterprise-Only Focus: Not accessible to smaller security teams or organizations without an existing SIEM/data lake setup.
Learning Curve: Teams must become familiar with detection-as-code practices and ATT&CK-aligned workflows.
No Free Tier: Access is limited to enterprises able to engage in a sales process.
Despite these limitations, Anvilogic is highly valuable for organizations seeking to modernize and scale threat detection without ripping and replacing existing infrastructure.
Comparison with Other Tools
Anvilogic competes and complements a variety of SIEM and detection platforms:
Compared to Splunk or Sentinel Alone: Anvilogic provides abstraction and unification over multiple tools, reducing lock-in and duplication.
Versus Panther or Sumo Logic: While those offer SIEM functionality, Anvilogic focuses on detection management across SIEMs and data lakes.
Relative to Detection Engineering Tools (like Sigma): Anvilogic adds AI, automation, and end-to-end workflow management that raw rule conversion tools don’t offer.
Against Mandiant or CrowdStrike: Those platforms focus more on threat intelligence and EDR; Anvilogic centralizes detection deployment and engineering.
It acts as a layer above traditional security tooling, giving teams enhanced control and visibility into detection strategies.
Customer Reviews and Testimonials
Anvilogic is trusted by Fortune 100 and mid-market enterprises across sectors. While it does not appear on G2 or Capterra due to its enterprise nature, customer testimonials shared on its website and via case studies highlight major benefits:
“Anvilogic helped us unify detections across our hybrid cloud, cutting down engineering time by 60%.”
“We no longer need to rewrite detections for each platform. That’s a huge win for our security team.”
“The heatmaps gave us visibility into where we were blind, which we didn’t have before.”
Security teams also praise the support and partnership they receive during onboarding and scaling phases.
Conclusion
Anvilogic is a powerful AI-powered platform that helps organizations modernize their SOCs by unifying threat detection, hunting, and automation across multi-cloud and hybrid environments. It eliminates siloed detection engineering efforts, reduces manual triage work, and enables scalable security operations.
For large enterprises with complex detection environments, Anvilogic offers a future-forward approach to building intelligent, efficient, and high-coverage threat detection workflows—without needing to replace existing infrastructure.
