When StackStorm is the right alternative to Cortex XSOAR
StackStorm fits a team whose XSOAR playbooks mostly react to events, such as a failed host, a flagged configuration drift or a noisy alert that needs a fixed set of steps, rather than a team that works each incident as an analyst case. Its model is built on sensors (Python plugins that watch an external system and fire triggers), rules that map those triggers to actions or workflows, and packs that hold the code for each integration. StackStorm is licensed under Apache-2.0, so the platform itself carries no license fee to run. If most of your automation is remediation with a clear trigger and a clear outcome, that model is a direct match.
XSOAR remains the better fit when analysts need structure around each case. That means incident types and layouts, the war room where analysts coordinate, SLA tracking and analyst notes attached to a record. StackStorm has none of these built in, and it records an audit trail of action executions rather than a case history. Three decision drivers settle the choice. First, measure how much of your XSOAR work is case work versus remediation; if analysts open and close cases all day, plan for a case system alongside any automation tool. Second, check team skills: StackStorm packs and rules are written in Python, and its services depend on MongoDB for storage and RabbitMQ for messaging, so someone must operate both. Third, confirm data residency requirements, since StackStorm runs entirely in your environment and its audit records can ship to Splunk, LogStash, statsd or syslog for retention under your own controls.
Which platform fits which scenario
This table matches common operating scenarios to the platform that usually fits best, with the reason for each choice. Read it against your own mix of event-driven remediation and analyst case work, since the answer often depends on which of the two dominates your day. The main takeaway is that StackStorm suits infrastructure automation that needs no analyst queue, while XSOAR remains the stronger choice where case management and a war room are central.
| Scenario | Better fit | Reason |
|---|---|---|
| Auto-remediation of infrastructure events, such as restarting services or rotating a failed node | StackStorm | Sensors and rules map infrastructure events directly to actions and workflows, which matches this pattern without a case layer. |
| SOC analysts working tickets in a war room with shared notes and incident layouts | Cortex XSOAR | XSOAR ships incidents, layouts and the war room. StackStorm has no case management or analyst war room, so you would have to build or buy them. |
| Regulated sites that must keep automation and logs on premises | StackStorm or Cortex XSOAR 6 on premises | StackStorm is self-hosted by design. Confirm which XSOAR deployment your sites are licensed and supported to run. |
| Teams with strong Python skills that prefer config as code in version control | StackStorm | Actions, sensors and packs are written as code and deployed as packs, which fits Git-based review and release practice. |
| Teams with few developers who rely on prebuilt vendor integrations and a point-and-click playbook editor | Cortex XSOAR | XSOAR's integration catalog and visual playbook editor reduce the code a small team must write and maintain. |
| Operators who need an audit trail of every manual and automated action | Either, with confirmation | StackStorm records execution history and can forward it to Splunk, LogStash, syslog or statsd. Confirm the audit requirements against XSOAR's logging before choosing. |
| Teams that will also need MongoDB and RabbitMQ run and patched as platform dependencies | Cortex XSOAR | StackStorm depends on MongoDB and RabbitMQ, so someone must own those services. Choose StackStorm only if your team will operate them. |
How StackStorm sensors, rules and packs replace XSOAR playbooks
In StackStorm, the unit of work is an event. A sensor is a Python plugin that watches an external system and fires a trigger when something happens, such as a SIEM alert arriving or a host reporting a fault. A rule then matches that trigger, optionally filters it on its payload, and maps it to an action or a workflow. The action is the outbound step, such as an SSH command, an HTTP call or a cloud API request. XSOAR starts from a similar point, an incident created by a classifier and mapper, but it keeps the response logic in a visual playbook that is tied to an incident record. StackStorm keeps the same logic as files: sensors, triggers, rules and workflows live in a pack, and the pack is what you version, review and deploy.
That difference shapes the migration. Packs are plain directories of YAML and Python, and the StackStorm Exchange hosts community packs for many integrations; the README cites about 160 integration packs with more than 6,000 actions. Confirm each pack's maintainer, license and last release before you depend on it, because a pack is only as current as its author keeps it. XSOAR integrations and playbooks do not convert automatically. Each XSOAR playbook task that calls an integration becomes an action call, each branch or loop becomes workflow logic in code, and each incident field your playbooks read must be mapped to a trigger payload. Ask your team to inventory which playbooks run on alerts that already carry all their context, because those are the simplest to port first.
Plan for a rewrite, not an export. The XSOAR export described in the migration guidance covers custom content as files, but the logic inside it runs on XSOAR's runtime and is not portable as is. Pick three or four representative remediations, such as disabling an account after a sign-in alert or isolating a host, and build each as a rule and workflow in a test pack. Then check whether the code can be reviewed in your change process, whether secrets for each action are stored in StackStorm's key-value store or an external manager, and whether every execution is logged to the audit trail that StackStorm records and can forward to your SIEM.
What StackStorm lacks for analyst-led response
StackStorm is built to run actions when events arrive, not to hold a queue of human decisions. The cards below cover the parts of XSOAR's analyst workflow that StackStorm does not provide out of the box, and the conditions under which each gap matters for your team.
No built-in case management
StackStorm tracks executions, not incidents. There is no case object with status, owner, severity, SLA timers or linked evidence that an analyst can open, reassign and close. If your XSOAR use centers on incident records that survive across days of investigation, you will need a separate case system and an integration that writes into it. Confirm with the StackStorm project whether any case concept exists in the version you plan to run before you design around it.
No analyst war room
XSOAR gives responders a shared war room where playbook output, analyst notes and commands sit beside the incident. StackStorm exposes a web UI, CLI and REST API for running actions and viewing execution results, but it does not offer a shared investigation space where analysts discuss an incident in context. This gap matters most when several analysts work one incident at once. Ask the project or your own tests whether the existing UI meets that need.
Analysts need a separate ticketing system
Without case records and a war room, analyst notes, approvals and handoffs move to a ticketing or case tool. Each automated action then needs to post its result to that tool, and the two records must agree on identifiers and timestamps. Budget for the integration and for the people who maintain it. This matters when auditors or incident reviewers expect one timeline for each incident.
Workflows are code-first
In StackStorm, sensors, rules, actions and workflows are written as code and deployed in packs. An analyst who wants to change a containment step usually needs an engineer to edit YAML or Python, test it and roll it out. XSOAR playbooks are visual and can be edited by analysts. Decide who owns each automation and whether analysts will need a supported path to request changes without touching the code.
Approval and case features need confirmation
Many SOAR teams expect human approval steps, SLA tracking and role-scoped analyst views. StackStorm's RBAC documentation covers who can run or manage actions, which is a different control from an approval gate on an incident. Do not assume a pause-for-approval step or an analyst queue exists. Ask the StackStorm project directly, and test any approval pattern in a lab before you commit to a design.
What the MongoDB and RabbitMQ footprint means for operations
StackStorm stores its state in MongoDB and passes messages between its services over RabbitMQ, so the platform team takes on two stateful dependencies alongside the StackStorm services themselves. The services are built as loosely coupled microservices that communicate over the message bus and scale horizontally, which is useful for event volume but means a broker or database outage affects every rule and workflow at once. Before committing, confirm with the StackStorm documentation which MongoDB and RabbitMQ versions your target release expects, and who in your team already runs those systems.
The Kubernetes high availability helm chart is a beta blueprint according to the StackStorm high availability documentation, so treat it as a starting point rather than a supported production build. Your platform team should own database backups for MongoDB, including restore tests that cover the rule and workflow content as well as the audit trail, since StackStorm's execution history is part of your evidence. They should also own broker health monitoring for RabbitMQ, with alerts on queue backlog, and a documented plan for what happens to sensor events during a broker outage.
Dependency upgrades are the item most often underestimated. The 3.9.0 release, published January 12, 2026 according to the StackStorm releases page, supports Python 3.8 to 3.11 and moved to pymongo 4.x. Packs that install their own Python libraries can break when the interpreter or driver changes, so inventory every pack's dependencies and test them against the release before upgrading. Read the StackStorm releases page for each candidate version and budget a staging environment for every upgrade cycle.
Hosting, data control and access options on each side
Cortex XSOAR 8 is available as a SaaS service, and in that model Palo Alto Networks hosts and operates the platform. Your playbooks, incident data and integration credentials live in the vendor's hosted environment, so the review question shifts from where the server sits to how the vendor's hosting and access controls are documented and evidenced. The client's responsibilities are mainly configuration, user management and the data it sends in.
- Data location: Ask the vendor which regions store your tenant data, where backups are kept and how long they are retained.
- Operations: Patching, upgrades and availability of the service are handled by the vendor, so your team does not run the database or message layer.
- Access control: Role assignments and SSO are configured inside the SaaS tenant. Confirm how administrator actions are logged and whether you can export those logs.
- Audit evidence: You will need the vendor's independent assessment reports and contract terms that cover subprocessors and incident notification.
- Exit path: Playbook export is available from the content item menu, so confirm the export format before you depend on it.
Before you choose this model, confirm with the vendor where your data is processed and which of its reports your auditors will accept.
Cortex XSOAR 8 can also be installed on your own servers using a step-by-step terminal installer. In this model your team owns the hosts, the storage, the patching and the backups, while the vendor supplies the software and its release notes. Data stays inside your network, which often matters for sensitive incident records.
- Data location: Incident records, playbook run data and stored credentials stay on hosts and storage you control.
- Operations: Your platform team installs, upgrades, backs up and monitors the server, and it must keep up with vendor release timing.
- Access control: Access is set inside the product, and you decide how directory accounts and network paths reach it.
- Audit evidence: You produce the configuration, backup and patch records yourself, and you show how the hosts are hardened.
- Licensing and support: Confirm with the vendor which support terms and license terms apply to on-premises deployments.
Ask the vendor which installer version and supported operating system your environment requires, and what the upgrade path is from your current release.
Cortex XSOAR 6 is the earlier on-premises line that many sites still run. Palo Alto Networks recommends version 6.14 for on-premises and air-gapped sites, and releases 6.12 and 6.13 reach end of life on June 30, 2026. Hosting and data control match the XSOAR 8 on-premises model, but the release calendar is the constraint you must plan around.
- Data location: The same as XSOAR 8 on premises: data stays on your hosts and storage.
- Operations: Your team carries the full server lifecycle, including OS and dependency updates needed to stay on a supported release.
- Release risk: Track the end of life dates for your exact version and budget for an upgrade or a move before they arrive.
- Audit evidence: Keep records of the running version, patch status and any exceptions for unsupported releases.
- Migration input: Export playbooks and custom content first, because that inventory is needed whether you upgrade or move to StackStorm.
Confirm your current release and its support status in writing with the vendor before you set the migration timeline.
StackStorm is Apache 2.0 licensed and runs in your own infrastructure, which means your team owns every layer of the stack. It is built from microservices that communicate over a message bus and store data in MongoDB, with RabbitMQ carrying messages. Data stays where you deploy it, but the operating burden sits with you, including the database and message broker.
- Data location: Execution records, audit data and stored configuration sit in your MongoDB and on your hosts or Kubernetes cluster.
- Operations: Your team installs, upgrades, scales and backs up the services, MongoDB and RabbitMQ. A helm chart for a high availability cluster on Kubernetes is available as a beta blueprint.
- RBAC: Role-based access control is in open source since version 3.4, and roles can be assigned from LDAP group membership, which lets directory groups drive access.
- Audit trail: StackStorm records every manual or automated action execution and can ship it to LogStash, Splunk, statsd or syslog, so you can connect it to your existing log retention.
- Compliance evidence: You prepare the configuration, access reviews and logs. DeployOpen can help prepare these controls and evidence for an assessment, but independent auditors issue the findings.
Verify the RBAC role mapping and log shipping in a test environment before you rely on them for an assessment.
What each option costs to run, by component
Cost for StackStorm and XSOAR splits into a licence line, infrastructure, people and outside help. The cards below separate what is paid once from what recurs, and name the drivers and the questions to put to each vendor or partner before a renewal decision.
XSOAR subscription or licence
This is the recurring line you pay Palo Alto Networks or a reseller, and it is the only component that changes with the contract term. Confirm with the vendor which deployment you are buying, since XSOAR 8 is offered as SaaS or on premises and the on-premises version is installed through a terminal installer. Ask whether the quote covers the content packs, integrations and support tier you actually run, and whether renewal pricing is capped. StackStorm carries no licence fee, so this line is the cost you are replacing.
StackStorm software at no licence fee
StackStorm is Apache-2.0 licensed, so the software itself carries no licence charge. The recurring costs move to the infrastructure and staff that run it. Check the license terms of any packs you adopt from the StackStorm Exchange, because packs are separate code with their own authors. Also confirm whether your organisation needs paid support from a third party, since the open-source project does not sell it.
Servers and Kubernetes capacity
StackStorm is built from microservices that scale horizontally, and an HA cluster on Kubernetes is available as a beta Helm chart. Capacity cost depends on how many sensors, rules and concurrent workflow executions you run, plus the high-availability layout you require. Ask your platform team whether the cluster reuses existing nodes or needs new ones, and whether the beta chart is acceptable for production. These costs recur monthly and grow with event volume.
MongoDB and RabbitMQ operations
Every StackStorm deployment depends on MongoDB for storage and RabbitMQ for messaging, so you carry the backup, patching, failover and capacity work for both. Upgrades to newer StackStorm releases have also moved the pymongo driver to version 4.x, so plan a compatibility test each time you upgrade. Ask whether your database team already runs MongoDB and RabbitMQ under a support contract, because adding them to an existing service is cheaper than standing them up for one tool.
Pack and sensor development
Integrations, rules and workflows live in packs, so the one-time cost is writing sensors and actions for each tool you automate, and the recurring cost is keeping them working when APIs change. Sensors are Python plugins, so the skills needed are Python and the StackStorm pack layout. Estimate this work from your own inventory of XSOAR playbooks and integrations, and ask any partner to price each pack against a written scope.
Integration maintenance and staff time
Expect recurring effort in keeping integrations current, reviewing pack changes and on-call coverage for the automation platform itself. XSOAR bundles vendor-maintained content, while StackStorm leaves that work with your team or the pack authors. Staff time is usually the largest unseen cost, so record who owns each pack, how alerts reach them, and how much of their week the platform consumes before comparing totals.
Support retainers and outside help
Fixed-scope build work is usually one-time, while ongoing upgrades, patching and testing are often bought as a retainer. Ask any implementation partner for a written scope that separates the initial build, the migration of existing content, and the recurring support hours. Confirm which items a retainer covers, including upgrades to the MongoDB and RabbitMQ layers, and whether response times are written into the contract.
Moving remediation playbooks from XSOAR to StackStorm
This sequence separates the event-driven remediation playbooks from the case-driven ones, rebuilds the remediation logic as StackStorm sensors, actions, rules and workflows in packs, and retires XSOAR content only after each use case has run in parallel. The output is a StackStorm estate that handles remediation with an audit trail, and a documented list of what still needs a home elsewhere.
Inventory playbooks and triggers by event source
The security or platform engineering lead exports a list of every XSOAR playbook, the integrations each one calls, and the incident types or event feeds that start it. Record the source system for each trigger, such as a SIEM alert, an EDR detection, a ticket or a scheduled job. The step is done when every playbook has one owner, one trigger source and a list of the integration commands it uses, so gaps are visible before any rebuild starts.
Separate remediation from case-driven playbooks
Review each inventoried playbook and classify it as remediation (an event leads to an automated action such as blocking an indicator, isolating a host or rotating a credential) or case-driven (the playbook depends on incident fields, analyst tasks, the war room or SLA timers). Remediation playbooks are candidates for StackStorm. Case-driven playbooks stay in XSOAR or move to a separate case system, which is a decision to record with the SOC lead. The step is done when each playbook has a labeled category and the case-driven list has a named destination.
Export custom content using the XSOAR 8 export path
The XSOAR administrator exports custom content from Settings, Server Settings, Custom content, then Export all custom content, and downloads individual playbooks from each content item menu. Store the archives in version control with a note of the XSOAR version they came from. Confirm with Palo Alto Networks documentation which content types transfer in the export, because JavaScript integrations and logic tied to XSOAR's runtime will not translate directly. The step is done when a complete archive is stored and each non-transferring item is listed for rewrite.
Rebuild integrations as StackStorm actions and sensors
Engineers check whether an existing StackStorm pack already covers each vendor API the remediation playbooks call. Where none exists, they write an action in Python with a YAML metadata file, and a sensor if the system must push events into StackStorm. Credentials go into the StackStorm key-value store as encrypted values, not into pack code. The step is done when every integration command used by a remediation playbook has a matching action, and each action has been run manually against a test system with its output recorded.
Port rules and workflows into packs
Engineers translate each remediation playbook into a StackStorm rule that maps a trigger to an action or to a workflow, using Orquesta or the Action Chain format for multi-step logic. They place rules, workflows, actions and sensors in a versioned pack, so the content is deployed as code and reviewed like any other change. Conditional branches that depended on XSOAR's built-in incident fields need a deliberate replacement, such as event payload checks. The step is done when each pack loads cleanly on a staging StackStorm instance and every rule has a documented trigger.
Run both platforms in parallel per use case
For each remediation use case, the team keeps the XSOAR playbook live and runs the StackStorm rule in a non-blocking mode, or against a copy of the event stream, then compares the actions each platform would take. Differences are logged and resolved before the StackStorm rule becomes the active responder. StackStorm's audit trail, which records each manual and automated execution and can ship to Splunk, syslog or LogStash, supports this comparison. The step is done when the outputs match across an agreed set of events for each use case and the sign-off is recorded.
Retire XSOAR remediation content
Once a use case has passed parallel running, the team disables the XSOAR playbook and its trigger, keeps the export archive, and removes the integration instances that no remaining playbook uses. The retirement record names the StackStorm pack and version that now handles the event, and the case-driven playbooks stay on their separate path. Confirm your own audit and retention requirements for the XSOAR archives before deletion. The step is done when the XSOAR trigger is disabled, the archive is stored and the StackStorm pack owner is recorded.
Questions buyers ask before switching from XSOAR to StackStorm
How much effort does moving from XSOAR playbooks to StackStorm take?
The effort depends mostly on how many playbooks and integrations you run and how much of their logic is tied to XSOAR's runtime. StackStorm does not read XSOAR playbooks, so each one is rebuilt as a StackStorm workflow, with sensors and rules replacing XSOAR's incident triggers and actions replacing integration commands. Integrations with no StackStorm pack need a new pack written in Python. Ask any partner to inventory your playbooks and integrations first, sort them by how many depend on XSOAR-specific scripts, and state in writing which items are rebuilt, which are retired and which stay in XSOAR. That inventory is the input any fixed-scope quote should be based on.
Can an internal team run StackStorm without outside help?
Yes, if the team has Python skills and someone who owns the platform after go-live. StackStorm integrations are sensors and actions written in Python, content is stored as code in packs, and the platform is built from microservices that depend on a message bus and a database. Someone has to manage upgrades, packs, RBAC mappings, backups and the audit trail shipped to your log platform. Teams with a small platform group often keep ownership internally and bring in outside help for the initial build, hardening or a support retainer. Confirm internal capacity honestly before deciding, because the operating load does not disappear when the license cost does.
What do MongoDB and RabbitMQ require to run StackStorm?
StackStorm services use MongoDB for storage and RabbitMQ for messaging, so both are production dependencies you operate alongside StackStorm. You need to plan their installation, version compatibility, backups, access control, monitoring and upgrades. StackStorm 3.9.0, published on January 12, 2026, moved to pymongo 4.x and supports Python 3.8 to 3.11, so check those versions against your database and runtime standards. For high availability, the StackStorm documentation describes a Helm chart for a cluster on Kubernetes, which it labels as a beta blueprint. Treat that as a starting point to validate, not a finished production design.
Can StackStorm replace XSOAR case management and the war room?
No, StackStorm is an event-driven automation engine, and its documentation does not describe incident layouts, analyst case records or a war room. It is strong for auto-remediation, troubleshooting and deployments that run without an analyst in the loop. If your SOC works incidents in XSOAR, you need a separate case system or a tool that ships cases, and the audit trail StackStorm records covers action executions, not analyst investigation notes. Decide where cases will live before you migrate playbooks, because that choice changes which automations need to write back to a case.
How does StackStorm licensing differ from Cortex XSOAR?
StackStorm is licensed under Apache-2.0, so there is no per-seat or subscription license for the open-source platform itself. Your recurring costs shift to infrastructure, MongoDB and RabbitMQ operation, staff time and any support contract. Cortex XSOAR is a commercial product with its own license and renewal terms, which should be read from your contract rather than assumed. Compare total cost of ownership by component: license, servers, database and message bus operation, engineering hours for packs, and support. Ask any vendor or partner to itemize these in a quote so the comparison is like for like.
What does outside help cover in a StackStorm migration?
Outside help is usually bought as a fixed-scope engagement with written deliverables, plus an optional retainer for ongoing support. DeployOpen plans, implements, customizes, integrates, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms inside your own infrastructure, so a StackStorm engagement could cover deployment, pack development, RBAC and log shipping. It does not issue audit reports or certifications, and it does not publish a price list. A quote follows from the written scope, so the first step is agreeing what is in and out of scope.
How long should a parallel run of XSOAR and StackStorm last?
Run both platforms side by side for each use case until the StackStorm workflow matches the XSOAR outcome on real events, and then retire the XSOAR version. The length depends on event volume, how many use cases you move and how many false positives or failed actions you need to see before trusting the new flow. Set exit criteria per use case in writing, such as matching action results and audit records, so the parallel run ends on evidence rather than a calendar date. Keep XSOAR content exported and archived until the last dependent workflow is retired.
When keeping Cortex XSOAR is the safer choice
Keep Cortex XSOAR if analysts work cases inside it. StackStorm is built around sensors, triggers, rules, actions and workflows, and it records an audit trail of every execution. It does not provide incident layouts, a case queue with ownership and SLAs, or a war room where analysts pull indicators, run commands and write notes into one shared record. If your SOC uses XSOAR incidents, layouts and the war room as its daily system of record, moving those duties to StackStorm leaves analysts without tooling. Before you decide, list which XSOAR screens your analysts open each shift and confirm whether each one has an equivalent in StackStorm or would need a separate case system.
Keep XSOAR if vendor-supported content is part of your control set. Much of XSOAR's value for regulated teams is the supported integration catalog and content maintained under a vendor agreement, with support and upgrade responsibilities defined in your contract. StackStorm's packs are shared through the StackStorm Exchange and are community content, so each pack you rely on needs a named owner, a test plan and a review after every upgrade. Ask your procurement and security teams whether your audit evidence depends on vendor-maintained content, and whether they accept internally maintained packs for those controls.
Treat the XSOAR 6 end of life dates as a planning deadline, not a reason to switch alone. XSOAR 6.12 and 6.13 reach end of life on June 30, 2026, and 6.14 remains the release Palo Alto recommends for on-premises and air-gapped sites. Confirm your exact version and support entitlement with the vendor before you plan. If analyst case work is part of your use, compare the Shuffle sibling page and the Tracecat options first, since both sit closer to case-driven response than StackStorm does. Those pages cover the case management you would need to rebuild.
How to pilot StackStorm before committing
This sequence gives a security team a bounded, evidence-based answer on whether StackStorm can take over one event-driven remediation job from XSOAR, before any platform migration is funded. It ends in a documented go or no-go decision.
Choose one remediation use case
Pick a single event-driven remediation job that XSOAR runs today, such as disabling a compromised account after an identity alert or isolating a host after a specific EDR detection. Choose a job with a clear trigger, a small set of actions and a known success condition, and avoid anything that depends on analyst case work or a war room. Record the current XSOAR playbook name, its trigger source and its success condition in a short pilot charter that the security lead signs off. The step is done when the charter names one use case, one owner and one measurable outcome.
Deploy StackStorm with MongoDB and RabbitMQ
Have the platform engineering team install StackStorm 3.9.0 in a non-production environment inside your own infrastructure, following the official installation documentation for your operating system or the Kubernetes approach described in the high availability reference. Confirm that the MongoDB store and RabbitMQ broker are running as their own services, that the REST API, CLI and web UI respond, and that the Python version on the host falls within the supported range of 3.8 to 3.11. Record which components you hosted, who patches them and how backups of MongoDB are taken. The step is done when all services report healthy and a sample action runs end to end.
Build one sensor and one rule
Have an automation engineer write one sensor that watches the source system for the pilot trigger, such as a webhook receiver or a poll against the alert API, and emits a trigger into StackStorm. Then write one rule that maps that trigger to an action or a short workflow that performs the remediation step. Store both in a pack under version control and deploy it through the normal pack process. Test the rule against a staging copy of the alert source, not production, and keep a record of which XSOAR integration or playbook step each part replaces. The step is done when the pack deploys cleanly and the rule fires on a test event.
Verify audit trail completeness
Have the security engineering team run a set of at least several test events through the pilot and compare each execution against the audit trail StackStorm records. For every event, confirm that the trigger, the rule match, the action inputs and outputs, the execution status and the operator or automated origin are present. Confirm that the trail is shipped to your logging destination, such as a SIEM, Splunk, syslog or LogStash, and that a log reviewer can reconstruct the run without access to the StackStorm host. Note every gap, because XSOAR's incident record has no direct equivalent here. The step is done when a written audit completeness checklist shows which fields passed and which did not.
Test failure handling and recovery
Force controlled failures during the pilot: stop the broker, make the target API return errors, time out an action and restart a StackStorm service. Observe what happens to in-flight executions, whether retries or error paths run as designed in the rule or workflow, and whether alerts reach the on-call team. Repeat the restart test after restoring MongoDB from a backup to confirm the state you need can be recovered. Document each failure, its observed behavior and the operator action required. The step is done when each failure case has a recorded result and a named owner for the runbook entry.
Confirm access control and integrations
Have the identity team configure role-based access control in StackStorm, including role assignment from LDAP group membership if that is your model, and check that the pilot operators can run only the permitted actions. Verify that the credentials used by actions are stored and rotated under your existing secrets process rather than in pack files. Confirm which of your current XSOAR integrations the pilot needs and whether a StackStorm pack already covers each one, or whether a custom pack must be written and maintained. The step is done when access tests pass for each role and each integration gap is listed with its owner.
Decide go or no-go on named criteria
Hold a review with the CISO or head of security operations, the platform owner and the pilot engineer. Score the pilot against criteria agreed before it began: the audit trail checklist results, the failure handling results, whether the remediation outcome matched the XSOAR baseline, the effort to maintain the pack, and whether the missing case management and war room are acceptable for this use case or require a separate system. Record a go, a no-go or a conditional go with the conditions written down. If go, set the scope for the next phase and the support model. The step is done when a signed decision record exists and the named criteria each show a pass, fail or open item.
How DeployOpen helps evaluate, implement or migrate
DeployOpen is a Chainscore Labs company that plans, implements, integrates, hardens, documents and supports self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. For a StackStorm decision, we start by separating the event-driven remediation you want to keep from the analyst case work that StackStorm does not provide.
How we scope
- Inventory which XSOAR playbooks and integrations handle event-driven remediation and which depend on incidents, layouts or the war room
- Confirm the event sources, message bus and MongoDB and RabbitMQ hosting your environment must support
- Agree in writing which case management system stays in place, since StackStorm ships none
- Engagements are fixed-scope, with deliverables and timelines agreed before work begins
How we build
- Map XSOAR triggers to StackStorm sensors, rules and actions, and rebuild playbooks as workflows in packs
- Store packs as code in version control and review changes before they reach production
- Test rules against replayed or staged events and record each execution's audit trail
- Harden the MongoDB, RabbitMQ and service configuration to your own security baseline
How we hand over
- Document architecture, pack ownership, rule inventory and the runbook for each automated action
- Export existing XSOAR custom content and record which items do not transfer and why
- Walk your operations team through the StackStorm CLI, web UI and REST API
- Provide compliance-readiness evidence for your own auditors, who issue any formal opinion
How we support
- Ongoing support, upgrades and continuous testing are available as a retainer after handover
- Plan StackStorm upgrades against its release notes, including Python and pymongo compatibility
- Review pack and rule changes on a schedule agreed in the retainer
- Confirm support terms, response expectations and included hours in the written quote

