OpenSOAR is a free, open-source, self-hosted platform for automating security alert triage, enrichment, and response with Python playbooks. Playbooks are asynchronous Python functions that teams can test, version, and run with standard Python packages. Alerts can enter through webhooks, Elasticsearch polling, or syslog; the platform normalizes payloads, extracts indicators of compromise, and deduplicates alerts. Its async engine supports parallel actions, timeouts, retries, and exponential backoff. Case features include creating and linking incidents, assigning cases, adding timeline comments and observables, and showing correlation suggestions. Listed integrations include Elastic Security, VirusTotal, AbuseIPDB, Slack, and Email, supported by an extensible Python SDK. AI options include Claude, OpenAI, and Ollama for summarization, triage recommendations, playbook generation, auto-resolution, and correlation. The maker says local Ollama can be used without data leaving the network. Security controls include JWT authentication, integration keys, three core roles, and admin-managed local accounts. The maker labels the product as currently in beta.
Who it is for
It is aimed at SOC teams, MSSPs, incident responders, SREs, infrastructure and on-call teams, and DevOps teams. Its self-hosted deployment and Python playbooks suit groups building their own alert workflows.
What is good
- Ingests alerts from webhooks, Elasticsearch polling, or syslog.
- Playbooks support parallel actions, retries, and timeouts.
- Includes incident cases and correlation suggestions.
- Local Ollama option can keep data within the network.
What to know first
- The maker labels the product as currently in beta.
- Deployment is self-hosted.
Freedom251 review
OpenSOAR: the full review
OpenSOAR brings alert intake, Python automation, and case management into a self-hosted platform. Its beta status is a key consideration for teams assessing it.
OpenSOAR is a self-hosted, open-source platform for alert triage and response automation built around Python playbooks. It is best suited to security and operations teams able to run their own services and maintain Python workflows. Its broad capabilities come with an important caveat: the product is in beta.
Overview
OpenSOAR brings alert intake, enrichment, automated response, and incident handling together. It can receive alerts through webhooks, Elasticsearch polling, and syslog, then normalize payloads, extract indicators of compromise, and deduplicate them. That makes it a candidate for teams bringing several alert sources into one workflow, though self-hosting means the team takes responsibility for deployment and operation.
The Apache 2.0-licensed free plan has no feature gates or per-action billing. That removes software charges as a barrier to expanding automation, but does not eliminate the infrastructure and maintenance work. Beta status makes it a less comfortable fit for teams that need an established foundation for critical response processes.
Key features
Python playbooks and execution
Playbooks are asynchronous Python functions that can be tested, versioned, and run with standard Python packages. Teams with Python skills can build custom response logic using familiar tools; teams without that expertise may find the model harder to maintain than a more guided workflow builder. The async engine supports parallel actions, with timeouts, retries, and exponential backoff for individual actions, useful when workflows need to handle slow or intermittent integrations.
Alert handling and cases
OpenSOAR can create and link incidents, assign cases, add timeline comments and observables, and surface correlation suggestions. This gives responders a place to connect automation with case follow-up rather than treating every alert as an isolated event. Alert intake includes normalization and deduplication, which can help reduce repetitive handling across incoming sources.
Integrations, AI, and controls
Listed integrations include Elastic Security, VirusTotal, AbuseIPDB, Slack, and Email, and an extensible Python SDK offers a route to additional connections. AI capabilities include LLM summarization, triage recommendations, playbook generation, auto-resolve, and correlation, with Claude, OpenAI, and Ollama among the options. Teams that want to keep AI triage local can use Ollama; OpenSOAR says data need not leave the network.
Security controls include JWT authentication, integration API keys, three core roles, and admin-managed local accounts. Automation actions are logged with timestamps and context, while AI decisions log inputs, outputs, and reasoning. Those controls support oversight, but teams still need to assess whether the beta product fits their security and operational requirements.
Pricing
OpenSOAR: 0.00 USD per free. The plan is Apache 2.0 licensed, self-hosted, and includes playbook automation, alert enrichment, and threat intelligence actions, with no feature gates or per-action billing. There is no free trial because the product is free. It suits teams that want to adopt or scale automation without software fees; the trade-off is operating the deployment themselves.
Platforms
OpenSOAR supports API and web access and is self-hosted. Its repository documents a Docker Compose deployment, making it a fit for teams prepared to manage their own environment rather than use a hosted service.
Who it's for
The maker identifies SOC teams, MSSPs, incident responders, SREs, infrastructure and on-call teams, and DevOps teams as intended users. Security teams can use its intake, enrichment, playbooks, and case management for alert response; operations teams may apply the same automation approach to on-call workflows. It is most appropriate where Python capability and self-hosting are acceptable. Teams seeking a mature, managed platform should look elsewhere, particularly while OpenSOAR remains in beta.
Documentation covers setup, playbooks, deployment, API usage, troubleshooting, and engineering references. That breadth is useful for teams building and maintaining their own installation, though it does not change the responsibility that comes with self-hosting.
Pros and cons
- Pros: Free under Apache 2.0, with no feature gates or per-action billing, so automation volume does not trigger per-action charges.
- Pros: Python playbooks can use standard packages and be tested and versioned, giving Python-capable teams flexibility for custom response logic.
- Pros: Local Ollama support and AI decision logs give teams options for keeping triage within their network and reviewing AI activity.
- Cons: Self-hosting requires teams to handle deployment and ongoing operation.
- Cons: Beta status is a risk for teams considering it for critical response workflows.
- Cons: A Python-centered playbook model may be a poor fit for teams without the skills to build and maintain code-based automation.
Alternatives
SOAR Software is the broader directory category for comparing orchestration tools.
Choose Shuffle if you want a freemium option with API, self-hosted, and web platforms and a published Starter plan at 29.00 USD per month, billed at $29/month for 10k App Runs. It starts free with 2k App-Runs, but the Starter plan has limits including 10 workflows, 5 users, 1 tenant, and 1 day of workflow run history. OpenSOAR is the alternative when a free Apache 2.0 plan without feature gates or per-action billing matters more.
Tracecat is another freemium, self-hosted option. Its Open Source plan is 0.00 USD per free and includes unlimited workflows, cases, and agents, with monthly executions self-managed; consider it if those capabilities better suit your workflow. OpenSOAR instead emphasizes Python playbooks, alert intake, and enrichment.
Sumo Logic has a web-based free plan at 0.00 USD per free, capped at 20 daily credits for logs, metrics, and traces, 7-day log retention, and up to 3 users, as well as a free trial. Consider it for those stated observability needs rather than OpenSOAR's self-hosted playbook automation.
Tines offers a web-based free edition with 3 live workflows. It may suit teams that want that stated workflow allowance; OpenSOAR is the free self-hosted choice for teams seeking Python-based alert response.
Palo Alto Networks Cortex Cloud API Security is a paid API, Linux, and web option; consider it if you are evaluating that product instead.
Cyware Security Orchestration and Automation is a paid API and web product with custom quote pricing; consider it if you prefer to evaluate a quoted option.
Torq Hyperautomation is a paid API, self-hosted, and web option, with pricing and usage limits provided in an order form. Consider it if you are comparing a product with order-form pricing.
CrowdStrike Falcon Surface is a paid option with a free trial; consider it if you are evaluating that product.
Verdict
OpenSOAR is a strong fit for Python-capable SOC and operations teams that want self-hosted alert automation without software fees or per-action billing. Its combination of ingestion, enrichment, response playbooks, and case handling is the main reason to choose it. Look elsewhere if you need a managed service or are unwilling to take on beta-stage risk for operationally critical workflows.
OpenSOAR plans and pricing
All plansCompared on SOAR software
- Free plan
- Yes
- Playbook automation
- Yes
- Alert enrichment
- Yes
- Threat intel actions
- Yes
- Case management
- Yes
- Deployment model
- self_hosted



