Tech riderRev. 22 Sept 2026
  1. 1Runs onAPI, self-hosted, Web
  2. 2CostsNot stated by the maker
  3. 3Detection methodhybrid
  4. 4Real-time detectionYes
  5. 5Supported dataElasticsearch, Apache Spark, CSV
  6. 6Deployment optionsself-hosted
5 lines stated Written from the maker's own pages: openuba.org
The OpenUBA homepage

Overview

OpenUBA is ranked #16 of 19 in anomaly detection software on Specifiction. It runs on API, Self-hosted, Web.

Compared on anomaly detection software

Detection method
hybridopenuba.org
Real-time detection
Yesopenuba.org
Supported data
Elasticsearch, Apache Spark, CSVopenuba.org
Deployment options
self-hostedopenuba.org

Facts

Purpose
OpenUBA is an open-source User and Entity Behavior Analytics framework for security analytics.openuba.org · 5 Oct 2026
Detection
It analyzes behavior with machine-learning models to identify anomalies and produce risk scores and classifications.openuba.org · 5 Oct 2026
Dashboard
The dashboard includes entity monitoring, risk trending, job orchestration, and case management.openuba.org · 5 Oct 2026
Data sources
The site lists Spark, Elasticsearch, and CSV as data sources.openuba.org · 5 Oct 2026
Model standard
Models use a standard manifest and Python interface with train() and infer() methods.openuba.org · 5 Oct 2026
Model options
The model hub lists examples using scikit-learn, TensorFlow, PyTorch, Keras, and NetworkX.openuba.org · 5 Oct 2026
Rules and alerts
A visual flow-graph rule builder creates detection logic, and matching rules can trigger real-time alerts.openuba.org · 5 Oct 2026
Access control
The site describes fine-grained role-based access control and permission-based navigation.openuba.org · 5 Oct 2026
Orchestration
OpenUBA uses a Kubernetes-native operator and ephemeral containers for model training and inference jobs.openuba.org · 5 Oct 2026
Job monitoring
Training and inference jobs expose real-time logs and monitoring through GraphQL subscriptions.openuba.org · 5 Oct 2026
AI assistant
The built-in LLM assistant is described as helping users get insights and automate investigation workflows.openuba.org · 5 Oct 2026
Security
The project README says model executions run in isolated Docker containers or Kubernetes jobs, with resource limits to contain misbehaving models.github.com · 5 Oct 2026
Deployment
The README describes the platform as Kubernetes-native and says it can be deployed to a Kind development cluster or a production Kubernetes cluster.github.com · 5 Oct 2026
Support and community
The site links to GitHub and Discord and invites users to contribute models and integrations.openuba.org · 5 Oct 2026
Intended users
The project README describes OpenUBA as designed for security analysts curious about how models work under the hood.github.com · 5 Oct 2026
Data ingestion
The dashboard supports ingestion from Spark, Elasticsearch, and CSV data sources.openuba.org · 5 Oct 2026
Monitoring
The dashboard describes real-time risk scoring and behavioral baselines for tracking 10,000+ users.openuba.org · 5 Oct 2026
Model library
Its model library lists implementations based on scikit-learn, TensorFlow, PyTorch, Keras, and NetworkX.openuba.org · 5 Oct 2026
Model format
The Open Model Standard uses a model.yaml configuration and a MODEL.py with train() and infer() methods.openuba.org · 5 Oct 2026
Alerts and cases
The site describes real-time rule alerts and built-in workflows to triage, escalate, and resolve anomaly cases.openuba.org · 5 Oct 2026
Rule building
Rule Studio provides a visual flow-graph builder with drag-and-drop nodes for detection logic.openuba.org · 5 Oct 2026
Model orchestration
OpenUBA describes a Kubernetes-native operator using custom CRDs and ephemeral containers for training and inference jobs.openuba.org · 5 Oct 2026
SIEM compatibility
The site describes OpenUBA as SIEM agnostic.openuba.org · 5 Oct 2026
Publisher
The site footer credits Georgia Cyber Warfare Range, Inc.openuba.org · 5 Oct 2026
Pricing
The site calls OpenUBA fully open source and presents no paid plans or prices.openuba.org · 5 Oct 2026

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