What It Is

The foundation of Agentic SecOps.

The AI Operating System powers every Anvilogic capability. Blueprints orchestrate workflows, AI agents execute tasks, and integrations connect the platform to your existing security stack.

Every workflow runs with the context of your environment and continuously improves over time, not on a generic AI model.

ANALYST EXPERIENCE
Blueprints Orchestrate reusable SOC workflows
Agents Execute tasks to accomplish a specific goal
Skills Instructions & resources that teach agents how to do specific tasks well
Connectors Connect to third-party systems through MCP
Tools Perform API actions on the platform
UNDER THE HOOD
Enterprise Security Graph A semantic model of your environment that grounds every agent
Context and Memory Retains what your workflows learn: exceptions, false positives, naming conventions
Open Platform

One AI Operating System. Every environment.

Run the same AI workflows across the platforms you already use. Search and investigate data in Snowflake, Databricks, Splunk, Microsoft Sentinel, and more without rebuilding workflows for every environment. Connect your existing AI investments and hundreds of third-party tools to automate security operations your way.

Anvilogic
Anvilogic Agentic AI Operating System Blueprints · Agents · Skills · Tools · Connectors · Artifacts
Open in both directions: your AI in, hundreds of tools out
Your AI systems Connect through the Anvilogic MCP server. 
OpenAIOpenAI
AnthropicAnthropic
Custom agents and apps
Your data platforms Query where your data lives, in a single run.
SnowflakeSnowflake
DatabricksDatabricks
SplunkSplunk
Azure Log AnalyticsAzure Log Analytics
+Many more
Third-party tools Reach hundreds of tools through Connectors.
AtlassianAtlassian
ServiceNowServiceNow
SlackSlack
CrowdStrikeCrowdStrike
+Hundreds more
Why Anvilogic AI Is Different

AI That Understands Your SOC.

Most AI tools generate generic answers because they lack the context of your environment. Anvilogic continuously maps the relationships across your data, detections, assets, users, and workflows, so every search, investigation, and automated action is grounded in how your SOC actually operates.

Powered by the Enterprise Security Graph, every workflow reasons over your environment, not a generic AI model.

Threat Intelligence Knowledge
MITRE ATT&CK Threat Priorities and critical system classification is continusously updated to understand what matters most
Normalization Knowledge
Raw events parsed dynamically at ingest or runtime, so detection code runs across differently structured sources
Detection Knowledge
Every detection links to intel frameworks, known actors, exploit tools, telemetry, identity and asset data
Alert & Tuning Knowledge
Alerts act as central nodes, pulling context from logic, events, and allowlisting to give context to triage
Data Feed Knowledge
Dynamic data feed and schema analysis is constantly looking for changes to data structure mapped to MITRE data sources
OPEN LAYEROpen Integrations ArchitectureBring additional enterprise tools, live APIs, and unique objects directly into the agent's reasoning path through MCP. The graph is customizable, not closed.
Core Capabilities

Everything you need to automate security operations

Build your own agents  Your team defines how the AI works, not the vendor. Build custom AI agents with your own instructions, tools, and approval steps, then resuse them across Blueprints. AI follows your team's processes, so every workflow runs the way your SOC already operates.
Native tools for every action Agents act through governed AI OS tools that map to real platform capabilities: create a detection, read your maturity score, query alert history, tune a rule. Every action is auditable and permissioned.
Memory that compounds Every run builds institutional knowledge. The AI OS retains your environment's context: your exceptions, your false positives, your naming conventions. The longer it runs, the smarter your workflows get, and that knowledge stays when analysts leave.
Connect the tools you already have MCP-based connectors bring enrichment sources, ticketing, chat, and data platforms directly into the agent's reasoning path. Atlassian, ServiceNow, Slack, CrowdStrike, and your own internal APIs work inside the same workflow.
Bring your own AI to Anvilogic The AI OS is open in both directions. The Anvilogic MCP server lets you connect your existing AI systems directly to the platform, so the AI investments you've already made can query detections, read coverage, and drive workflows through the same governed tool layer.
Run agents on a schedule Automation Blueprints run without waiting for a prompt. Schedule agents to execute recurring work: detection health checks, tuning reviews, data feed monitoring. Human approval gates stay in place wherever you put them.

See what your SOC looks like with Anvilogic AI agents.

30-minute walkthrough. Your data. Your workflows. No slides.