OpenUBA

At a glance

• Editor score
  7.0 / 10
• Pricing
  Open source
• Best for
  Open-source entity behavior analytics
• Paid from
  Free
• Real-time detection
  Yes
• Facts checked
  22 Sep 2026

• Where it wins

  • Real-time risk scoring with behavioral baselines and alerts
  • Visual rules, model training, and installable community models
  • Kubernetes orchestration with Python-based extensibility

• Where it doesn't

  • Self-hosted deployment requires Kubernetes-based operations
  • Data ingestion is centered on Elasticsearch, Spark, and CSV
  • Advanced modeling requires Python and machine-learning expertise

Our verdict on OpenUBA

OpenUBA is an open-source user and entity behavior analytics framework for security operations teams. It provides dashboards for entity monitoring, risk scores, anomalies, cases, alerts, and data pipelines. Hybrid detection combines real-time risk scoring, behavioral baselines, configurable model inference, and visual flow-graph rules. The platform is available through web and API interfaces, with self-hosted deployment for teams that want control over their environment and detection workflows.

Its strongest fit is for organizations that need to adapt detection logic rather than rely only on fixed analytics. OpenUBA supports model training and inference, a model library with installable community models, and Python-based registration and job submission through its SDK. Kubernetes-native model orchestration supports model runners for scikit-learn, PyTorch, TensorFlow, Keras, and NetworkX. Real-time alerts and notifications add an operational path from detected behavior to investigation, while role-based access control and audit logging support governed access.

The platform’s ecosystem is focused rather than broad. It can ingest data from Elasticsearch, Apache Spark, and CSV, and connects with GitHub, Hugging Face, Kubeflow, and a local filesystem. That makes it suitable for teams already working with those tools, but less suitable for buyers seeking a wide catalog of verified native integrations. Deployment also favors teams comfortable with Kubernetes, Python, and machine-learning workflows. Choose OpenUBA when open-source control, extensible models, and self-hosting are priorities; choose another product when turnkey deployment or broader prebuilt ingestion coverage matters more.

Your product? Our editors can test OpenUBA in depth and publish a review, labelled as paid · from $149/mo →

OpenUBA pricing

OpenUBA fact sheet

OpenUBA integrations

OpenUBA lists 7 integrations on its own site.

• Elasticsearch
• Apache Spark
• CSV
• GitHub
• Hugging Face
• Kubeflow
• local filesystem

Alternatives to OpenUBA

• Progress FlowmonA network-focused platform for traffic visibility, anomaly detection and capacity planning.9.0
• ManageEngine NetFlow AnalyzerAffordable on-premises flow monitoring with alerts, reporting, and security analytics.8.6
• AnodotBroad real-time anomaly detection with forecasting, correlation, and root-cause analysis.8.4

See all OpenUBA alternatives →

Featured on iTechGuides

OpenUBA is listed in our Anomaly Detection Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update