OpenSOAR

OpenSOAR is a self-hosted platform for teams that want to build alert-response workflows in Python. It suits security and operations groups with the skills to run the service and maintain playbooks; its beta label makes it a cautious choice for critical workflows.

Overview

OpenSOAR brings alert intake, enrichment, response automation, and case handling into one system. It accepts alerts through webhooks, Elasticsearch polling, and syslog, then normalizes payloads, extracts indicators of compromise, and deduplicates them. This can help teams bring several alert sources into a consistent workflow, while self-hosting gives them deployment and data-control responsibilities as well as flexibility.

The platform is open source under Apache 2.0, and its free plan has no feature gates or per-action billing. That makes experimentation and expansion possible without software charges tied to features or action volume. The trade-off is operational: teams must run the service themselves, and the beta status warrants caution before relying on it for essential response processes.

Key features

Python playbooks and execution

Playbooks are asynchronous Python functions that can be tested, versioned, and run with standard Python packages. This is a strong fit for teams that already maintain Python code and want flexibility beyond a fixed set of response steps. It is less suited to teams without Python expertise, since they would be taking on custom workflow code as well as the platform.

The execution engine can run actions in parallel and supports timeouts, retries, and exponential backoff for individual actions. Those controls help workflows handle slow or intermittently failing steps without treating every action as a simple one-shot operation.

Alert handling and cases

After ingestion, OpenSOAR can create and link incidents, assign cases, add timeline comments and observables, and surface correlation suggestions. That combination gives responders a place to connect incoming alerts with investigation work rather than treating automation as an isolated task.

Its named integrations include Elastic Security, VirusTotal, AbuseIPDB, Slack, and Email, while an extensible Python SDK gives teams a route to add integrations. The existing set covers alerting, threat intelligence, and team communication, but teams depending on other services should expect to build or extend their own connections.

AI and data control

AI options include LLM summaries, triage recommendations, playbook generation, auto-resolution, and correlation, with Claude, OpenAI, and Ollama named as choices. Local Ollama can keep AI triage within the network for teams that do not want data to leave it. AI breadth may be useful where analysts want help summarizing or routing work, but using it does not remove the need to review consequential response decisions.

Access and audit

OpenSOAR provides JWT authentication, integration API keys, three core roles, and admin-managed local accounts. Automation actions are logged with timestamps and context; AI decisions log their inputs, outputs, and reasoning. These controls give teams useful access and audit mechanisms, though they still need to operate and secure the self-hosted deployment.

Pricing

OpenSOAR: free. The Apache 2.0-licensed, self-hosted plan includes playbook automation, alert enrichment, and threat-intelligence actions, with no feature gates or per-action billing. There is no paid tier to compare against; the cost advantage does not include the work of providing and maintaining infrastructure.

There is no free trial because the product is free. The plan terms do not identify a seat or usage cap, so teams can evaluate it without a stated per-action charge. The more consequential qualification is beta status: teams should be careful about making it the sole foundation for operational response.

Platforms

OpenSOAR is offered as a web application and API, and is self-hosted rather than a hosted service. Its repository documents Docker Compose deployment, and its documentation covers setup, playbooks, deployment, API use, troubleshooting, and engineering references. This gives technically capable teams a documented path to operate it, but it is not a fit for organizations that want the vendor to run the platform.

Who it's for

OpenSOAR is aimed at SOC teams, MSSPs, and incident responders, as well as SRE, infrastructure, on-call, and DevOps teams. Its Python playbooks and alert-to-case workflow are especially relevant to groups that can maintain custom automation and want security and operational response in a self-managed system. Teams seeking a mature managed service or a workflow tool that avoids code maintenance should look elsewhere.

Pros and cons

• Pros: A free Apache 2.0 plan with no feature gates or per-action billing avoids software-cost penalties for expanding automation.
• Pros: Webhooks, Elasticsearch polling, and syslog feed into normalization, IOC extraction, and deduplication, reducing the need to treat each intake route separately.
• Pros: Python playbooks, case handling, and an extensible SDK give technically capable teams room to shape workflows around their own response needs.
• Pros: Local Ollama support and logged AI decisions offer options for teams that want network-local triage and a record of AI inputs and outputs.
• Cons: Self-hosting puts deployment and service operation on the team, so the free license does not make it operationally hands-off.
• Cons: Python-based workflows require code skills and ongoing maintenance, which may be a barrier for teams looking for a guided no-code approach.
• Cons: The product is in beta, making it a riskier foundation for teams that cannot tolerate uncertainty in critical response workflows.

Alternatives

For a broader comparison of category options, see SOAR Software. Choose Tracecat if its free, self-hosted plan with unlimited workflows, cases, and agents, self-managed monthly executions, and tool approvals better matches the workflow model you need. Choose Sumo Logic if you want a web-based logs, metrics, and traces service with a free tier capped at 20 daily credits, seven-day log retention, and three users, or a limited trial.

CrowdStrike Falcon Surface is another alternative. Consider Tines if a web-based workflow service with a free edition limited to three live workflows better suits your needs. Wildbox is another free option, available across API, desktop, web, and self-hosted platforms. Palo Alto Networks Cortex Cloud API Security is another alternative for API-focused needs. Consider Swimlane Turbine if its paid, self-hosted offering with published action and user thresholds suits your scale. Cyware Security Orchestration and Automation is another paid alternative with custom-quote pricing.

Verdict

OpenSOAR is a compelling choice for Python-capable SOC, response, and operations teams that want a self-hosted automation and case-management platform without feature or action charges. Its flexible workflows, multi-source intake, and local AI option are meaningful advantages. Look elsewhere if you need a managed service, prefer to avoid maintaining code, or require a product beyond beta for critical response operations.