Open-source alternatives to Palo Alto Cortex XSOAR

Which open-source alternative to Cortex XSOAR fits your team

If you are facing a renewal, a licensing change, a data residency requirement or lock-in, Shuffle is the closest starting point for a self-hosted SOAR with a visual workflow builder, while StackStorm fits teams that already write Python and want event-driven automation close to their infrastructure. Teams whose main constraint is licensing terms should read the license of each candidate before shortlisting, since Shuffle's backend is AGPLv3 and its workflows and apps are MIT, while n8n is source-available under the Sustainable Use License rather than open source. Cortex XSOAR 8 is offered as SaaS or on-premises, so the first question is which deployment your residency rules actually require, because that choice decides whether a self-hosted replacement is a necessity or a preference.

Teams usually start looking for alternatives for three reasons. The first is deployment control: XSOAR 8 can run as SaaS or on-premises, but a team bound by a residency rule needs the platform, its data and its integrations inside infrastructure it operates. The second is portability of content. XSOAR documents an export of all custom content from the server settings and a per-playbook download from the content item menu, so you can inventory what you own before any migration starts. Run that inventory first, and count playbooks, custom integrations, scripts and incident layouts separately, because each one takes a different amount of rebuild work. The third is lock-in risk, which is reduced only if you can read and rerun your exported content outside the vendor.

Do not treat the choice as a feature comparison alone. Ask each candidate vendor or community maintainer to confirm how it handles incident layouts, case management fields and role-based access, since XSOAR-specific constructs have no direct one-to-one equivalent in Shuffle or StackStorm. Confirm your own minimum hardware for the target platform as well: Shuffle's install guide sets a minimum of 4 GB of RAM and warns that its default Docker Compose setup is not scalable without changes. Ask your team to name an owner for each exported playbook before the pilot begins, so that the decision about which workflows to rebuild, retire or keep in XSOAR is made by a person rather than by the migration schedule.

Shuffle, StackStorm and n8n compared for SOAR use

Shuffle, StackStorm and n8n take very different approaches to security orchestration, and their licenses differ in ways that matter for a regulated buyer. Each card below names the component facts to verify and the main trade-off to weigh before replacing Cortex XSOAR playbooks. None of them ships a drop-in equivalent of XSOAR's incident layouts or marketplace content, so the choice is about rebuild effort and operating model as much as features.

Shuffle: security-first workflows

Shuffle is the closest match to XSOAR's security-automation model, with a backend under AGPLv3 and workflows, documentation, apps and app specifications under MIT. Its app creator can build integrations from OpenAPI specifications, and it ships premade apps for common security tools. It installs with Docker or Kubernetes and needs at least 4 GB of RAM, and it stores data in OpenSearch (Elasticsearch also works). The trade-off is operational: the default Docker Compose setup is not scalable without changes, so plan a Kubernetes or hardened Docker deployment and confirm that AGPLv3 terms on the backend suit your distribution model. Expect to rebuild every custom integration as an app.

StackStorm: event-driven automation

StackStorm is Apache 2.0 licensed event-driven automation aimed at auto-remediation, incident response, troubleshooting and deployments. Its 3.9.0 release, dated January 12, 2025, supports Python 3.8 to 3.11 and moved to pymongo 4.x. Sensors, rules and actions are written as code, which suits teams that already run infrastructure automation, but it has no built-in case management or incident layout model. The trade-off is that XSOAR playbooks and custom content must be rewritten as StackStorm packs and Python actions, so confirm the Python version your existing scripts require before choosing it.

n8n: source-available workflow automation

n8n is a general workflow automation platform distributed under the Sustainable Use License, which allows internal business use and non-commercial use. Files marked .ee require a valid n8n Enterprise License, and the project is source-available rather than OSI open source. For SOAR, it works well for connecting alert sources, ticketing and chat tools, but it does not provide SOAR-specific case handling out of the box. The trade-off is licensing: check whether your planned use, including use by a managed service provider, falls within the license terms before standardizing on it. Confirm the license terms with counsel before production use.

How Cortex XSOAR capabilities map to open-source options

This table maps the main Cortex XSOAR capabilities to Shuffle, StackStorm and n8n, and marks where each option needs custom work or a separate tool. Read the cells as starting points: the fit depends on which integrations your team actually runs, so confirm connector coverage against your own environment before you commit.

Capability	Shuffle	StackStorm	n8n
Playbook orchestration	Visual workflows with branching and triggers; the closest match to XSOAR playbooks, but playbooks must be rebuilt by hand	Rules and workflows defined in YAML and Python; strong for scripted remediation, weaker for analyst-facing playbooks	Visual node-based workflows; suits lighter automation, and the Sustainable Use License limits some commercial uses
Integration packs and custom content	Premade apps for many security tools, plus an app creator that builds integrations from OpenAPI specifications; confirm each app you need	Packs from the community catalog; custom integrations are written as Python actions, so XSOAR Python scripts need rework	Built-in nodes and generic HTTP requests; security-specific connectors are fewer, so expect custom nodes
Incident layouts and case management	No native equivalent to XSOAR layouts; model case fields in a separate case tool or a custom front end	No built-in case management; pair with a ticketing or case system and push records through its API	No native case management; store case data in an external system and link it through workflows
Indicator enrichment	Enrichment through apps for threat intelligence sources; confirm which feeds and API keys your team uses	Enrichment is built from actions and sensors you write or install; plan for ongoing maintenance of each feed	Enrichment via HTTP nodes to threat intelligence APIs; caching and deduplication need custom design
Automated response actions	Strong fit for containment steps through security tool apps; test each action in a non-production environment	Strong fit for event-driven remediation and deployments; well suited to infrastructure response	Suitable for notification and simple API actions; higher-risk containment needs careful review
Deployment modes	Self-hosted through Docker or Kubernetes; the default Docker Compose setup needs changes to scale, and it needs at least 4 GB of RAM. Hosted cloud also available	Self-hosted on Linux servers; no vendor-hosted option from the project itself, so operations sit with your team	Self-hosted; the license limits commercial internal use, so confirm terms with the vendor before production use

How XSOAR playbooks and custom content exports map to Shuffle and StackStorm

Start by inventorying what you actually export. In Cortex XSOAR 8, go to Settings, then Server Settings, then Custom content, and use Export all custom content for a full bundle. Individual playbooks can also be downloaded from the content item menu, which is useful for a pilot. Each exported item needs a different target. Playbooks become Shuffle workflows, where the task graph, conditions and loops are rebuilt on the Shuffle canvas. Integrations and scripts are the harder part: in Shuffle, an integration becomes an app, and the app creator can generate one from an OpenAPI specification when the vendor publishes one. In StackStorm, the same logic usually becomes an action (a script or Python class in a pack), a sensor if the trigger polls or listens for events, and a rule that binds a trigger to an action.

Do not expect a direct import. XSOAR content is built around its own integration YAML, script types and context keys, and neither Shuffle nor StackStorm reads it. Treat the export as a specification and a test corpus. For each playbook, record its trigger, inputs, outputs and every external call, then confirm which app or action covers each one. Expect the effort to scale with custom code: a playbook that calls mostly standard vendor APIs is a configuration exercise, while one that depends on embedded Python scripts, custom parsing or shared automation libraries needs those scripts ported and tested. Ask your team how many custom scripts exist and who maintains them.

Confirm two things early. First, whether your scripts depend on Python 2 or on XSOAR-specific helper functions, since both need rewriting before they run anywhere else. Second, whether your StackStorm target would run on a Python version that your code supports. The StackStorm 3.9.0 release, dated January 12, 2025, supports Python 3.8 to 3.11, so check the StackStorm releases page for the current support matrix before you commit. Keep a mapping sheet that links each XSOAR item to its replacement and its test result, so the rebuild can be reviewed by your security and compliance owners before you retire the original.

What the multi-year cost of XSOAR versus self-hosting includes

This table lists each cost component on both sides, marks whether it is one-time or recurring, and names what moves it up or down. No XSOAR prices or hosting figures are given because none were supplied, so use the rows to build a written quote request and a multi-year model from your own numbers. The main takeaway is that the license line is often not the largest difference, since rebuild, parallel running and internal skills usually drive most of the total.

Cost component	Who is paid or who carries it	One-time or recurring	What drives it up or down
XSOAR subscription or license	Palo Alto Networks, through your contract	Recurring	Licensed capacity, deployment model (SaaS or on-premises), term length and renewal uplift. Ask for the renewal cap in writing.
Hosting, storage and compute for the open-source platform	Your cloud account, data center or hardware budget	Recurring	Node count, database sizing for OpenSearch or Elasticsearch in Shuffle, retention and log volume. Confirm minimum requirements for your chosen platform.
Platform implementation and hardening	DeployOpen or your internal team, under a fixed-scope agreement	One-time	Number of environments, authentication and network controls, and high availability design. Get scope and deliverables agreed before work starts.
Integration rebuild	DeployOpen, your engineers or both	One-time, with ongoing upkeep	Count of XSOAR integrations in use, custom content, and whether OpenAPI specifications exist. Shuffle's app creator can reduce effort for API-based tools.
Playbook migration	DeployOpen, your engineers or both	One-time	Playbook count and complexity, and whether XSOAR exports from Settings, Server Settings, Custom content are complete and reviewable.
Parallel run	Your SOC staff and the implementation team	One-time, staff time recurs during overlap	Length of overlap, alert volume and how many alert sources feed both systems at once.
Support, upgrades and testing	DeployOpen retainer, a vendor support contract or internal staff	Recurring	Scope of retainer, upgrade frequency and whether continuous security testing is included. Confirm what each option covers.
Internal skills and on-call	Your staff, or training and hiring costs	Recurring	Team familiarity with Python, Docker or Kubernetes and workflow tooling. Training is one-time, ongoing ownership is recurring.

What you give up when leaving Cortex XSOAR and the usual workarounds

Moving off Cortex XSOAR changes more than the engine. Vendor-maintained content, support commitments and features your team depends on each need a named replacement or a deliberate workaround. The cards below list what to inventory before you commit to a platform.

Vendor-maintained content packs

XSOAR content packs ship integrations, playbooks and scripts that the vendor or its partners maintain. In a self-hosted replacement, you own the equivalent code for every product you connect. Shuffle's app creator can build integrations from OpenAPI specifications and includes premade apps for common security tools, but each premade app still needs its version and behavior checked against your tool releases. Inventory every content pack in use and mark which ones have an open-source equivalent.

Certified integrations and vendor support

Certified integrations carry vendor testing and a support path when they break. Open-source apps usually carry no such commitment, so a broken connector becomes your ticket. The workaround is to keep a retained integration partner for the few connectors where a failure would stop critical response, and to confirm with each product vendor whether it supports API-based access outside its own certified path.

Vendor SLAs and uptime commitments

A commercial SaaS or on-premises contract may include uptime, response time and patching commitments. With self-hosting, those obligations move to your operations team or an implementation partner. Ask what service levels your current contract guarantees, then decide who will meet each one, including on-call coverage for the orchestration platform itself.

Managed upkeep and upgrades

Vendor upgrades arrive as tested releases. With a self-hosted platform, you schedule upgrades, test playbooks against new versions and roll back when something breaks. StackStorm, for example, publishes releases with stated Python and database requirements, such as the 3.9.0 release that moved to pymongo 4.x, so each upgrade needs a compatibility check against your own content.

Features your team relies on

Some XSOAR capabilities, such as built-in case management, incident layouts and specific reporting views, may not exist in the replacement. List the features analysts use daily and confirm each one against the candidate platform before migration. A common workaround is to run a separate case management tool and push incident identifiers and status between systems through the API.

How to move off Cortex XSOAR in phases

This sequence moves playbooks, integrations and incident layouts from Cortex XSOAR to a self-hosted platform in controlled stages, so each stage has a documented result before the next one starts. It ends with a retained, access-controlled archive of the XSOAR data and a decommissioned instance.

Inventory playbooks, integrations and layouts
Your team, with the XSOAR administrators, lists every playbook, script, integration instance, incident type, field, layout and classifier, and marks which ones are active, which fire on which alert sources, and which connect to production systems. Record the owner and the business process behind each item. This is done when the inventory is reviewed by the SOC lead and each item has a status of keep, rewrite, replace or retire.
Export all custom content
Export custom content from XSOAR under Settings, then Server Settings, then Custom content, using the export of all custom content, and download individual playbooks from the content item menu where you need them separately. Store the exports in a version-controlled repository with restricted access, because they can contain logic and references to credentials or endpoints. This step is done when every exported file has a checksum recorded and a matching entry in the inventory.
Map each item to the target platform
For each playbook and integration, decide how it maps to the target, such as a Shuffle workflow built from an app generated from an OpenAPI specification or a StackStorm action and rule. Identify gaps where a vendor integration has no open-source app, and plan to write or adapt it. Confirm with the target platform's documentation and your own test tenant what each mapping supports. This is done when the mapping document is approved and lists the gaps and owners.
Pilot one playbook family
Choose one bounded family of playbooks, such as phishing triage, and rebuild it on the target platform in a non-production environment with test alerts. Compare outputs, ticket fields and enrichment results against XSOAR for the same inputs, and log every difference. Security and compliance sign-off is required before the pilot moves beyond test data, including approval of the change to any data handling or credential storage. This is done when the differences are closed or formally accepted.
Run both platforms against live alerts
Feed live alerts to both XSOAR and the new platform for an agreed period, with the new platform writing to a separate queue or ticket space so it cannot take containment actions twice. Compare automated actions, analyst outcomes and error rates each day. Record any action the new platform would have taken that XSOAR did not, and resolve it before cutover. This is done when the parallel run meets the acceptance criteria written in the pilot phase.
Cut over and retire XSOAR connections
Switch alert sources, webhooks and ticketing links to the new platform in a planned change window with a documented rollback path. Disable the matching XSOAR playbooks and integration instances rather than deleting them, so the rollback path stays available. Monitor the new platform closely until the owners confirm normal operation. This step is done when the change record is closed and the on-call team has signed off on production behavior.
Decommission XSOAR and handle its data
Before shutting down XSOAR, confirm with your legal, compliance and records teams which incident records, audit logs and evidence must be kept and for how long, since these retention requirements come from your own obligations and not from the platform. Export or archive those records in a form you can still read, then restrict access. Revoke credentials, remove integration secrets and shut down the instance and its storage. Your auditors will expect the decommission record and the retention decision as evidence.

Which option fits by situation: residency, cost, customization or regulation

Teams with strict residency rules need the automation engine, its database and its execution logs to stay inside their own cloud accounts, data centers or air-gapped networks. Shuffle and StackStorm both run self-hosted, so the platform itself can sit where your data is required to sit. Shuffle installs with Docker or Kubernetes and uses OpenSearch as its database, which means the workflow history and any stored results remain in your environment. StackStorm is a self-hosted event-driven engine, so the same residency model applies.

Deployment target: Confirm that Docker or Kubernetes, or StackStorm's install method, fits your hardened build standard.
Hosted option caveat: Shuffle offers a hosted cloud service at shuffler.io. Using it moves execution outside your boundary, so exclude it if residency is binding.
Database location: Shuffle stores its data in OpenSearch, so include that cluster in your residency and backup scope.
Connectors: Each integration call sends data to the target tool. Map where those calls egress, not only where the orchestrator runs.
Minimum resources: Shuffle's install guide sets a minimum of 4 GB of RAM and warns that the default Docker Compose setup is not scalable without changes.

Before choosing, ask your team to diagram every data flow the playbooks touch and confirm the platform's hosting location against that map.

Questions teams ask before replacing Cortex XSOAR

How much effort does rebuilding Cortex XSOAR content take?

The effort depends mostly on how much custom content you have, not on the platform you choose. Each XSOAR integration, script and playbook has to be mapped to a Shuffle workflow or a StackStorm rule and action, and each one needs its credentials, error handling and test cases rebuilt. Shuffle includes an app creator that builds integrations from OpenAPI specifications and ships premade apps for many security tools, which can shorten work for common tools. Start with an inventory: count playbooks, custom integrations, scripts and incident layouts, then tag which ones are still used. Use the export from Settings, Server Settings, Custom content, Export all custom content in Cortex XSOAR 8 as the starting inventory. Ask any implementation partner for a fixed-scope estimate built from that inventory.

How long does a migration from Cortex XSOAR take?

The timeline is set by the number of live playbooks, the number of custom integrations that have no premade equivalent, and how many approvals and test environments you need. Your change control process and the availability of alert sources in the new stack also affect the schedule. Shuffle's install guide notes that the default Docker Compose setup is not a scalable build without changes, so production hosting work, including Kubernetes planning, should be scheduled before workflow rebuilds start. Ask for a written plan with phases, owners and exit criteria for each phase, and confirm the timeline against your own environment rather than against a generic figure.

What does the migration need from our internal team?

Your team supplies the knowledge of how each playbook behaves today, access to the systems each integration calls, and decision-makers who approve which processes change. Security operations staff must confirm expected outcomes for each use case, and platform engineers must provide hosting, secrets management, network paths and backup targets. Expect the team to review every rebuilt workflow against real alerts before cutover. Name these owners before the engagement starts so that reviews do not stall the work.

Can our own team replace Cortex XSOAR without an implementation partner?

Yes, if you have engineers who can run containers or Kubernetes, write Python or work with REST APIs, and who can keep a rebuild running alongside daily operations. Shuffle's GitHub repository describes workflows, apps and app specifications under MIT, which makes the content easy to reuse and modify. StackStorm is Apache 2.0 licensed and its 3.9.0 release, dated January 12, 2025, supports Python 3.8 to 3.11, so Python skills carry over. Teams without this capacity often choose a partner for the hosting build, the integration rebuild or both. DeployOpen plans, implements, customizes, integrates, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms in your own infrastructure, typically under a written, fixed scope.

Does Shuffle or StackStorm meet our compliance requirements?

Neither platform is certified by default, and a self-hosted tool does not make your environment compliant on its own. What matters is how you host it, control access, log activity, back up data and document the controls you operate. Map each control your assessor cares about to a specific configuration in your environment, such as authentication, encryption, audit logging and change management. DeployOpen prepares systems, controls and evidence for compliance assessments, but it does not issue audit reports, attestations or certifications. Independent auditors and certification bodies make those determinations, so confirm the scope with your assessor before the build.

What does a parallel run with Cortex XSOAR involve?

A parallel run sends the same alerts to Cortex XSOAR and to the new platform, then compares the actions each one takes. Keep the alert source, such as your SIEM, feeding both systems, and log every difference in outcome, enrichment result or ticket creation. Agree on the exit criteria in advance, including which mismatches are acceptable and who signs off on cutover. Plan the length of the parallel run around your alert volume and the number of workflows, and confirm the duration in writing with your implementation partner or internal owners.

Should we keep running Cortex XSOAR while we rebuild?

Keep it running until the new platform has passed the parallel run and every critical workflow has an approved replacement. Cortex XSOAR 8 is available as SaaS or on-premises, so your current deployment model determines how you retire it. Confirm your license terms and renewal dates with Palo Alto Networks before you set the cutover date, because the cost of running both platforms is part of the business case.

How DeployOpen scopes, migrates and supports the replacement

DeployOpen plans, implements, integrates, hardens, documents and supports self-hosted open-source platforms inside your own infrastructure, so a move away from Cortex XSOAR is handled as a written, fixed-scope engagement. The work starts with an inventory of what XSOAR actually runs today, then rebuilds it on the platform that fits your licensing, data residency and team skills.

How we scope

We inventory playbooks, custom integrations, scripts, incident types and layouts from your XSOAR export before estimating anything.
Engagements are fixed-scope, with the platform choice, deliverables and timelines agreed in writing before work starts.
Scope names which alert sources stay in place, such as your SIEM or ticketing system, and which are retired.

How we build

We rebuild playbooks on the chosen platform, such as Shuffle or StackStorm, and test each workflow against recorded alert samples.
Custom integrations are recreated as apps or actions, with credentials held in your own secret store, not in workflow exports.
Platform deployment runs in your cloud account, data center or air-gapped network, with hardening and backup configured during the build.

How we hand over

Handover includes runbooks, workflow inventories, a mapping of each XSOAR playbook to its replacement, and known gaps.
Your team receives documented evidence of the controls and logging that compliance assessors may ask for, prepared for independent auditors to review.
Parallel running and cutover steps are documented, so you can confirm behavior before the XSOAR license is ended.

How we support

Ongoing support, upgrades and continuous testing are available as a retainer after handover.
Security testing of the new platform, including its integrations and any AI-assisted steps, can be scoped separately.
Ask for the support scope, response expectations and upgrade responsibilities to be written into the agreement.