Anvilogic for
Detection Engineers
without the toil or tool sprawl.
Love Anvilogic
Detection-as-Code
Build custom detections in SPL, SQL, or KQL using intuitive interfaces with AI agent support.
Accelerated
Coverage
Instantly generate and deploy high-fidelity detections with our 3,000+ rule content library mapped to MITRE ATT&CK.
Streamlined
Lifecycle
From idea to deployment to tuning, manage the full detection lifecycle in one platform with versioning, audit history, and rollback support.
Cross-Platform
Deployments
Write once, deploy anywhere; Splunk, Sentinel, Snowflake, Databricks. Anvilogic converts and manages logic across environments.
Tuning That
Doesn’t Break You
Noisy rule? Broken logic? ML-driven allowlisting, version control, and safe testing workflows help you fix detections fast—without fear of breaking prod.
- Constantly changing environment & requirements
- Manual query building eats hours
- Detection logic lacks documentation or audit trail
- Tuning is endless and brittle
- SIEM re-platforming is takes months or years
- Weekly threat research mapped to new detection rules
- Low-code builder + AI agents generate logic for you
- Built-in version control, history, and collaboration
- Feedback loops + confidence scoring help fine-tune efficiently
- Bring your detections with you with easy rule importing
From the Field
Upgrade your
Detection & Response with AI SOC Workflows

Anvilogic for Incident Responders & Triage Analyst
that lives inside your detection engineering engine.

Confident Response
Built-In Triage
Dashboard
A dedicated alert view with filters, visualizations, and event timelines built
for clarity—not clutter.
Monte AI Assistant
for Triage
Use GenAI to summarize, explain,
and prioritize alerts based on likelihood
and confidence scores.
Event Correlation +
Timeline View
See all relevant events and COIs
(Correlated Objects of Interest)
in an interactive visual timeline.
Suppression
& Escalation Control
Suppress noise. Escalate true positives.
Tag and track decisions with full audit support.
Native Alert
Object Model
Alerts live as first-class citizens, ready to escalate to cases, tag duplicates, and carry full investigation metadata. We understand the alert because we own the logic, not just dress it up with enrichment after the fact.
Investigative
Blueprints
Run guided investigations with blueprints powered by GenAI, MITRE ATT&CK, and evolving threat intel. No rigid logic trees but instead, intelligent, adaptive workflows built for analysts that adapts.
Built for the Reality
of Incident Response
- Swivel-chairing between tools and tabs
- No context or history on alerts
- Alerts fire then disappear into the void
- Manual triage requires heavy effort across disconnected tools
- Built in MITRE enrichment and integrated external lookups
- AI-generated summaries, verdicts, and confidence scores
- Dedicated alert dashboard with filters, widgets, and drill downs
- Anvilogic brings triage features into the detection layer itself
From the Field

Control your Alert Fatigue before it Controls You.

Anvilogic for
Security Architects
Why Architects Trust Anvilogic
Platform-Agnostic
Deployment
Manage one normalized detection pipeline deployed across Splunk, Snowflake, Databricks, Sentinel—and more. Build once. Deploy anywhere. No centralization or duplication.
No Data
Movement Required
Architectures shouldn’t be defined by a SIEM’s ingestion model. Eliminate rehydration delays, ingestion tax, and overage surprises.
Unified
Governance at Scale
Centralize detection logic, standardize controls, and reduce logic drift across regions, business units, and clouds.
Decoupled Storage & Analytics for Cost Control
Hybrid architectures that shift costly detection workloads from SIEMs to scalable cloud platforms so you can route detections where they perform best and cost less.
Architectural Observability
Use maturity scoring, logic normalization, and deployment metrics to continuously evolve detection coverage.
Architectural Pain Points, Solved
- SIEM lock-in & ingestion costs
- Post-M&A stack complexity
- Inconsistent detection logic
- Multi-region/multi-cloud coverage gaps
- Shift workloads to cheaper platforms without retooling
- Federated rule management across legacy and new systems
- Normalize and reuse logic across clouds and teams
- Track coverage across your full hybrid estate
Onboarding
Normalization
Enrichment
Engineering
Search
Reporting & Gaps
Correlation
Workflows
Workflows
Response
Workflows
Unify your hybrid detection & triage stack
Architect a Smarter SOC that Scales Without Compromise


Anvilogic for
Security Leadership
Anvilogic lets you scale detection, reduce alert volume, and unify your strategy across SIEMs and data lakes using safe, explainable AI that respects your architecture, your workflows, and your thresholds.
and Our Approach
- Team overwhelmed by alert volume, hard to innovate.
- Fragmented visibility & coverage across tools, clouds, and critical SaaS apps.
- The need to expand to cost-effective, scalable and open data lakes for data retention & compute in top of mind.
- Pressure to adopt AI for automating repetitive work.
- Hard to quantify detection ROI or prove SOC outcomes.
- Locked into costly ESA contracts with legacy SIEM vendors.
- AI-powered triage filters noise and prioritizes signal.
- Leverage all your data with a cost-effective hybrid logging strategy.
- Dashboard metrics tie detections to MITRE, maturity, and outcomes.
- Anvilogic AI is explainable, scoped, and always under your control.
- Federated detection governance, normalized logic.
- Freedom to architect your stack — intentionally, cost-effectively.
Choose Your Journey
Already Have a SIEM?
Need better detections
and lifecycle management?
Expanding to a Data Lake?
Bridge your SIEM + Snowflake/Databricks.
First Time SIEM or Replacing Legacy?
Simplify with an AI SOC.
Outcomes That Matter
43% Noise Reduction saving 70+ hours/day.
From the Field
Why Leaders Choose Anvilogic
Cut Cost, Not Coverage
Move detection off expensive SIEMs and onto scalable, open
data platforms like Snowflake
or Databricks, without lock-in
or forced migrations. Get full visibility at a fraction of the cost.
Detection lifecycle automation:
From build to tune to deploy. AI agents help analysts and engineers offload non-human work, shift people up, and give customers exponentially better security outcomes.
Easily Prove Detection ROI
Tie every detection to business value. Dashboards map signals to MITRE coverage, triage efficiency, tuning impact and measurable security outcomes, making it easy to align with executive priorities.
AI-First SOC, under Your Control
Our LLMs + AI assistant automate L1/L2 triage safely and transparently. Every decision feeds back into detection tuning and data quality, not just case closures.
Modernize with Data Lakes
Architect your SOC around flexibility. Detect across any data source, retain logs cost-effectively, and compute at cloud scale all from a centralized, open platform.
Our Philosophy
We implement AI with a strong detection engineering foundation from the start.
Transparency, no black boxes
Move detection off expensive SIEMs and onto scalable, open
data platforms like Snowflake
or Databricks, without lock-in
or forced migrations. Get full visibility at a fraction of the cost.
Scoped execution, full auditability
From build to tune to deploy. AI agents help analysts and engineers offload non-human work, shift people up, and give customers exponentially better security outcomes.
Respect for your workflows, RBAC, and compliance requirements
Tie every detection to business value. Dashboards map signals to MITRE coverage, triage efficiency, tuning impact and measurable security outcomes, making it easy to align with executive priorities.
Without Strong Detection Engineering, AI Becomes Noise


