Can Wazuh and OpenSearch replace Sumo Logic Cloud SIEM?
For most security teams weighing a Sumo Logic renewal, a licensing change or a data residency requirement, the short answer is this: Wazuh on an OpenSearch backend covers most SIEM detection work, but not every Sumo Logic feature has an open-source equivalent. Wazuh handles agent-based collection, decoding, rule-based correlation, alert storage and compliance dashboards, while OpenSearch provides the indexed search and dashboard layer that stores the alerts. The gaps sit mainly in managed convenience and in AI-assisted triage, so the decision depends on which of those your analysts actually use every week.
Wazuh is a free, open-source XDR and SIEM platform licensed under the GNU General Public License version 2, derived from OSSEC. It is made up of four components: the Wazuh indexer, which stores alerts in a full-text search and analytics engine, the Wazuh server, which analyzes agent data with decoders and rules, the Wazuh dashboard, and Wazuh agents on endpoints. The indexer is built on OpenSearch, which is why the two platforms are usually discussed together. This page covers four areas that map differently: normalization, correlation, detection-as-code and AI triage.
Confirm three things before you plan the work. First, list every Sumo Logic parser, rule and dashboard your SOC relies on, because normalization in Wazuh happens through decoders and rules you will need to rebuild or port. Second, decide who will own detection content in version control and what review process applies. Third, ask Sumo Logic in writing which AI triage features your contract includes, and confirm with your own analysts which of them they use, since those features have no direct open-source counterpart to plan around.
Which Sumo Logic Cloud SIEM capabilities map to Wazuh and OpenSearch
This table maps each Sumo Logic Cloud SIEM capability to the Wazuh or OpenSearch component that covers it, rated covered, partial or gap. Read the status column first, then the confirmation column, which lists what to verify in a proof of concept against your own log sources and rules. The main takeaway is that parsing, correlation and rule-based detection map well, while managed AI triage has no direct open-source equivalent and needs a deliberate replacement plan.
| Capability | Open-source equivalent | Status | What to confirm |
|---|---|---|---|
| Parsing and normalization | Wazuh decoders on the server, with OpenSearch indexed fields | Partial | Confirm decoders exist for each source you ingest and how field names map to your existing schema |
| Correlation across events | Wazuh rules with frequency, timeframe and same-field conditions on the server | Partial | Test multi-source correlation with your own sample events, since cross-source logic may need custom rules or OpenSearch alerting |
| Detection-as-code in version control | Custom rule and decoder XML files stored in Git and deployed through configuration management | Covered | Confirm your review, testing and deployment workflow for rule changes, including how rollbacks are handled |
| Compliance dashboards | Wazuh dashboard views for PCI DSS, GDPR, HIPAA and NIST 800-53 | Covered | Ask an assessor which control evidence they expect and check whether the prebuilt views produce it |
| Threat intelligence feeds | Wazuh threat intelligence sources and OpenSearch-backed lookups, if configured | Partial | Identify which commercial intelligence feeds you use today and confirm licensing and integration for each |
| Vulnerability detection | Wazuh vulnerability detection using agent software inventory with CTI or an offline repository | Covered | Confirm the data source you will use, online CTI or offline repository, for air-gapped or restricted networks |
| AI triage and summarization | No direct open-source equivalent in the platform components reviewed | Gap | Decide whether analysts will work without AI assistance or whether a separately governed tool will be added and assessed |
| Managed threat content updates | Community and self-maintained rule sets, updated on your own schedule | Partial | Ask Sumo Logic what content it ships and plan who will review and maintain equivalent rules after migration |
Which open-source options fit a Sumo Logic SIEM replacement
Sumo Logic Cloud SIEM combines log parsing, threat correlation and detection-as-code in one managed service. The open-source options below cover different parts of that job, so the right choice depends on whether you need a security-first agent platform, a general search backend or a log pipeline. Check each card's license and operating model against your own requirements before you commit.
Wazuh as the security layer
Wazuh is the closest functional match for Sumo Logic Cloud SIEM because it ships agents, a server with decoders and rules, a dashboard and an indexer that stores alerts. It is distributed under GPLv2, so the detection content is yours to version. Check which Sumo Logic correlation rules depend on sources Wazuh does not collect natively, and plan agentless syslog collection for firewalls and other network devices.
OpenSearch as the search backend
OpenSearch under Apache 2.0 is the search and storage layer that Wazuh's indexer builds on, and it can also serve custom dashboards for log data outside Wazuh's rules. Its Security plugin provides role-based access, field-level security and audit logs, which you must configure and test yourself. Ask your team who will own index lifecycle, snapshots and cluster upgrades, because these tasks replace the work Sumo Logic hides.
Graylog Open under the SSPL
Graylog Open is free to self-manage under the Server Side Public License, with no ingestion caps. It fits teams that want streams, pipelines and alerting in one product without building a rules engine. The SSPL is not an OSI-approved open-source license, so legal review is needed if you offer the software as a service to others. Security detection and anomaly features sit in paid Graylog Security, so confirm which capabilities you need before comparing it with Wazuh.
Security Onion under Elastic License 2.0
Security Onion bundles Suricata, Zeek and the Elastic Stack into a Linux distribution aimed at threat hunting and network monitoring. It suits teams that need packet and network telemetry alongside logs. Its repository is under the Elastic License 2.0, which restricts offering the software as a managed service, and Security Onion Pro is a paid tier. Confirm the license terms with counsel and check whether its Elastic Stack version matches the rest of your environment.
Choosing between the options
Start with the detection workload, then pick the license. Wazuh with OpenSearch covers endpoint agents, file integrity and compliance views for PCI DSS and GDPR. Graylog suits general log analytics with pipelines. Security Onion suits network-centric hunting. Most teams run one primary platform and keep the others as optional components, so write down which Sumo Logic correlation rules each one must replace before deciding.
How detection rules move from Sumo Logic into version control
Sumo Logic keeps Cloud SIEM rules managed in GitHub, so the migration task is to recreate that discipline in a repository you own. On the Wazuh side, the equivalent artifacts are custom decoders and rule XML files, which the Wazuh server reads from its local rules and decoders directories, typically with names such as local_decoder.xml and local_rules.xml. Store these files in a Git repository with branch protection, require a second reviewer for any change that lowers an alert level or disables a rule, and keep one commit per rule change so the history explains why each detection exists. Map each Sumo Logic rule to a Wazuh rule ID in a simple inventory file so the team can see which source detections have no open-source counterpart yet.
Deployment should go through a CI pipeline rather than by editing files on the manager. A typical pipeline lints the XML, runs wazuh-logtest against sample log lines to confirm decoding and rule matching, replays a stored set of events from known attacks and benign activity, and fails if an expected alert does not fire or a benign event raises one. The replay corpus is the most valuable artifact in this design, so keep it versioned alongside the rules. Deployment then copies the approved files to the Wazuh server and restarts the manager under a change window, with the server configuration (ossec.conf) and agent groups managed the same way.
Confirm the exact workflow in your environment before committing to it. Ask whether your Sumo Logic team uses rule export or manual editing, check how the Wazuh server version you select handles rule file reloading, and decide who owns the pipeline and the replay corpus. Also confirm that your CI runner can reach the manager without exposing it to the internet. The Wazuh documentation lists release changes that can affect rule syntax, so review it before each upgrade.
Running Wazuh beside Sumo Logic during the transition
This path keeps Sumo Logic for general log analytics, application troubleshooting and dashboards that operations teams already use, while Wazuh takes over security monitoring: endpoint telemetry, file integrity monitoring, vulnerability detection and compliance views. Ingestion is split by purpose rather than duplicated, so each security source is sent to Wazuh and the remaining operational sources stay where they are.
- Ingestion split: Decide per source whether it feeds Wazuh, Sumo Logic or both. Endpoints usually move to Wazuh agents, while application logs may stay on Sumo Logic collectors.
- Alert routing: Wazuh alerts go to your security queue, and Sumo Logic monitors stay tied to operational owners. Document which alerts must never fire in both places.
- Console ownership: The security team owns the Wazuh dashboard and rules. The platform or operations team keeps Sumo Logic and its credit budget.
- Shared sources: Firewalls and other network devices may need both paths. Confirm whether Wazuh agentless syslog collection covers them or whether Sumo Logic forwarding must continue.
- Recurring cost: Sumo Logic spend remains for the analytics scope, so the saving depends on how much volume leaves.
Confirm with the Sumo Logic account team which sources and credits your contract ties to, before you move any collector.
A parallel run sends the same events to Sumo Logic and Wazuh for a defined period, so detections can be compared before anyone relies on the new stack. It is the most conservative path, and it also costs the most while it lasts because data is ingested twice and two consoles must be watched.
- Duplicated ingestion: Each source sends to both systems. Track the volume on both sides so the duplicate period is planned, not discovered on an invoice.
- Alert comparison: Log which Wazuh rule fires for each Sumo Logic detection, and record gaps and false positives in a shared register.
- Routing guard: Suppress paging from one system during the overlap, or the on-call team receives two alerts for one event.
- Single owner per alert: Name the team that acts on each alert class before the overlap starts, even though both consoles are visible.
- Exit criteria: Agree written criteria for switching off a source, such as matched detections over a review period. Set the period with your security lead rather than adopting a default.
Check whether your change process requires a documented rollback for each source before duplicated ingestion begins.
Full replacement moves security monitoring and general log analytics off Sumo Logic. Wazuh covers the security use cases, and the analytics side needs its own decision, because Wazuh's indexer stores alerts rather than acting as a general log platform. Teams on this path usually plan a single cutover window per source group, with a fixed end date for the Sumo Logic subscription.
- Analytics gap: Sumo Logic queries used for non-security troubleshooting need a home. Confirm whether OpenSearch or another platform will hold that data.
- Historical data: Exports from Sumo Logic are limited, so decide which history must be kept for audit and how it will be stored and searched.
- Alert routing change: Repoint paging, ticketing and on-call integrations to Wazuh alerts, and retire Sumo Logic notifications only after the new path is confirmed.
- Console ownership: One team owns the Wazuh server, indexer and dashboard after cutover, including upgrades and access control.
- Contract timing: Agree the end of the Sumo Logic subscription and any data deletion obligations in writing with the vendor.
Verify with your compliance lead that the evidence your auditors expect can still be produced from the new system.
How the rest of the stack connects to the new SIEM
A Wazuh and OpenSearch SIEM only replaces Sumo Logic Cloud SIEM if it can sign in users, open tickets and hand alerts to response tools the way your current stack expects. The cards below cover the integration points that usually decide whether cutover works, and the items to confirm before you commit to a design.
Operator sign-in through single sign-on
Wazuh supports single sign-on, and the OpenSearch Security plugin supports SAML, OpenID Connect, Active Directory and LDAP, Kerberos and JSON Web Token backends. Decide which layer your analysts log into and map identity groups to roles in both places. Confirm with your identity provider team which protocol it supports, how group claims are passed, and whether break-glass local accounts are still required. Check that dashboard access and index access follow the same role model, so an analyst cannot see alerts the dashboard hides.
Field-level access for sensitive alerts
OpenSearch Security provides role-based access control, document-level and field-level security, field masking, user impersonation and audit logs. These controls matter when alerts carry personal data or regulated records, because a team that needs only failed-login counts should not see user names or source details. Define the roles before onboarding, test them with a sample account, and confirm that your auditors accept the audit log settings as evidence of who viewed which records.
Ticketing and case handoff
Sumo Logic alerts often reach ticketing through its built-in connectors. With Wazuh, alerts are written to the indexer and can be forwarded through integrations you configure, such as webhooks or a custom script. Decide which severity levels create tickets, which fields the ticket must carry, and who owns deduplication. Confirm with your service desk administrator how the ticket system authenticates the integration and whether it accepts the alert fields without a custom mapping.
SOAR playbook trigger
A security orchestration platform needs a stable alert format and a reliable way to receive it. Wazuh alerts can feed a SOAR tool through its API or an intermediate queue, but playbooks built against Sumo Logic Cloud SOAR will not run unchanged. Inventory each playbook, note which ones start from a SIEM alert, and confirm with your SOAR vendor or maintainer which input methods it accepts and how it authenticates them. Plan for the enrichment actions that Sumo Logic provided out of the box.
Vulnerability findings in the same console
Wazuh vulnerability detection correlates the software inventory that agents collect with vulnerability data from the Wazuh CTI platform or an offline repository. This gives the SIEM a view of exposed packages on each endpoint without a separate scanner feeding it. Decide whether vulnerability findings should open tickets, how they are prioritized against alerts, and whether your air-gapped sites need the offline repository. Confirm which vulnerability sources your compliance team accepts.
Endpoint inventory and file integrity events
Wazuh agents collect software inventory and file integrity monitoring events from endpoints, which can replace collectors you currently run for Sumo Logic. These events feed correlation rules, so an unexpected change to a system file can raise an alert alongside a failed login. Confirm which operating systems your endpoint team must cover, how agent upgrades are approved, and where the agent manager runs, since agents depend on the Wazuh server for configuration.
Moving detections, agents and history off Sumo Logic
This sequence moves detections, endpoint collection and compliance views from Sumo Logic Cloud SIEM into a self-run Wazuh deployment, with each step ending in a check you can verify before Sumo Logic is switched off.
Inventory rules, collectors and dashboards
Your security team exports the list of Cloud SIEM detection rules, the collectors and sources feeding them, the dashboards used for compliance evidence, and the alert recipients. Tag each rule as a log-based detection, an endpoint detection, a vulnerability check or a dashboard that only summarizes data. The output is a single register with one row per rule and source, showing its owner and the system it depends on. Confirm the rule set against the rules managed in your GitHub repository, since that repository is the most reliable copy of the logic.
Stand up the Wazuh indexer, server and dashboard
Platform engineering deploys Wazuh with the installation method that fits your environment: the all-in-one or step-by-step install, Docker, Kubernetes, or the offline installation guide for networks without internet access. Use an offline vulnerability repository if you cannot reach the Wazuh Cyber Threat Intelligence platform. The server can run as a cluster when volume grows. Done means the indexer, server and dashboard respond, you can sign in through your identity provider, and a test agent appears in the console.
Replace collectors with Wazuh agents
Endpoint teams install Wazuh agents on Linux, Windows, macOS and other supported hosts, then configure syslog collection or periodic API probing for firewalls and appliances that cannot run an agent. Keep the Sumo Logic collectors running in parallel until each source reports into Wazuh. Set agent configuration and upgrades from the Wazuh server so changes are not made host by host. Done means each source in the register has a named agent or syslog path, and its events appear in the Wazuh indexer with the expected fields.
Rebuild detection rules as code in Git
Security engineers translate each Cloud SIEM rule into Wazuh decoders and rules, keeping the logic in XML files stored in a Git repository. Cloud SIEM normalization maps to Wazuh decoders, and correlation maps to rule chaining, so a rule that depends on other rules needs its dependencies rebuilt in the same change. Each change goes through a merge request with a second reviewer. Done means every rule in the register has a version-controlled file, a test event that triggers it, and a recorded result from the test run.
Bring compliance views and alerts across
Governance and security leads map the controls evidenced by the Sumo Logic dashboards to the prebuilt Wazuh dashboards for PCI DSS, GDPR, HIPAA and NIST 800-53, then add any gaps as custom views. Route alerts to the same on-call channels and confirm that severity levels still match your runbooks. Done means each compliance dashboard reproduces the figures from a parallel run over the same period, and the mapping document shows which views were retired, changed or added. An assessor or auditor should confirm what evidence is acceptable.
Decide how much history to carry over
Sumo Logic lets a user with the Download Search Results capability export up to 100,000 rows as CSV from the browser, so any history larger than that needs several searches over shorter time ranges. Decide with compliance and legal teams which periods must be kept as evidence, which can be archived as exported files, and which can be discarded. Store exports in your own object storage with access controls. Done means each retention decision is written down with its owner and retention period, and the archive has been tested by opening one file.
Retire Sumo Logic in stages
Retire collectors first once their sources report reliably into Wazuh, then disable Cloud SIEM rules after their Git-managed equivalents have passed review and a parallel run. Keep read access to Sumo Logic until the history decisions are complete and the archive is verified. Confirm the contract end date, data deletion terms and any Sumo Logic export obligations with your vendor, since these are set in your agreement and not in this guide. Done means a signed-off retirement log lists each source, rule and dashboard with its switch-off date and its replacement.
Questions buyers ask before replacing Sumo Logic Cloud SIEM
What drives the total cost of replacing Sumo Logic Cloud SIEM?
The total is driven by infrastructure, labor and any paid support, and the license line you remove is only one part of it. Infrastructure covers the servers or cloud instances for the Wazuh indexer, server and dashboard, plus storage sized to your alert and log retention, high availability and backups. Labor covers rebuilding normalization, correlation rules and compliance views, moving collectors to Wazuh agents, and running upgrades. One-time costs include migration, rule conversion and testing. Recurring costs include compute, storage, on-call staff time and any outside support. Storage and retention usually grow fastest, so ask any quote to state the daily volume, retention periods and high availability assumptions it uses. Wazuh itself is free to use, so the license is not the cost you are paying for.
Is Wazuh free to use for a commercial SIEM replacement?
Yes, Wazuh is free and open-source under the GNU General Public License version 2, with an exception that permits linking with the OpenSSL library. The license covers the software, not the work around it, so you still pay for the servers, storage, staff and any support contract you choose. Ask your counsel to confirm how the GPLv2 terms apply to your internal use, modifications and any distribution of agents to third parties. Wazuh Cloud is a separate hosted offering, so confirm whether a quote involves it before comparing costs.
How long does it take to get a working replacement?
The timeline depends on how many log sources you have, how many detection rules you must rebuild and how much history you need to keep searchable. Deploying Wazuh agents and the indexer is usually the shortest part, while converting Sumo Logic rules, validating alerts against known events and building compliance dashboards takes most of the effort. Running the new stack in parallel with Sumo Logic during cutover adds time but reduces risk. Ask for a timeline tied to a written scope, listing the sources, rules and dashboards included, rather than a generic duration.
Can our own team replace Sumo Logic Cloud SIEM without outside help?
A team with Linux administration, search engine and detection engineering experience can do it in-house, but the work is broader than installing software. The team must size and operate the indexer cluster, deploy agents across endpoints, translate correlation logic into Wazuh rules and decoders, and keep the stack patched. Teams without those skills often underestimate the rule migration and the on-call load after cutover. A fixed-scope engagement can cover planning, implementation, hardening, backup and documentation, while your staff keep ownership of the detections. Decide early which parts you will own after handover.
What does the migration need from our security and platform teams?
The migration needs named owners in security operations, platform engineering and, where applicable, compliance. Security operations must supply the detection logic, known false positives and the alerts analysts rely on daily. Platform engineering must provide hosts or cloud accounts, network paths from agents, certificates, identity provider settings and backup targets. Compliance must confirm which framework views, such as PCI DSS, GDPR, HIPAA or NIST 800-53, they need in the Wazuh dashboard and what evidence auditors expect. Sumo Logic detection-as-code in GitHub is a useful source for rule history, so make sure it is exported before access ends.
How are Wazuh and OpenSearch upgraded and patched?
Wazuh 4.14 is the current release line, and 4.14 patch releases shipped on 17 March, 23 April, 1 July, 29 July, 23 September and 14 October 2026, roughly one every one to two months. Plan a recurring patch window for the server, indexer, dashboard and agents, and test each patch in a staging copy first. OpenSearch targets a new minor version about every eight weeks, and each version stays under maintenance until the next major version enters maintenance or one year passes, whichever is longer. During maintenance, versions receive bug fixes and security patches but no new features. Confirm with any implementation partner who performs upgrades and how long they are covered.
What should a quote for this replacement include?
A useful quote lists the scope in writing, including log sources, agent counts, detection rules, compliance views, integrations and the number of environments. It should state the deployment target, such as a cloud account, data center or air-gapped network, and the high availability design. Ask for separate line items for one-time work such as design, migration and rule conversion, and for recurring items such as support, upgrades and continuous testing. Request the assumptions behind any sizing, including daily volume and retention. DeployOpen does not publish a price list; a quote follows from the written scope.
Which Sumo Logic AI triage features lack an open-source equivalent?
Wazuh provides log analysis, rules, file integrity monitoring, vulnerability detection and compliance dashboards, but the AI-assisted triage features in Sumo Logic have no direct open-source counterpart in this stack. Your analysts would work from rule-based alerts and their own enrichment steps, which means triage speed and consistency depend on your processes. Confirm the specific Sumo Logic features your team uses today, then decide whether they will be replaced by playbooks, a separate tool or manual review before committing to a timeline.
How DeployOpen scopes and delivers a SIEM replacement
DeployOpen 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 Sumo Logic Cloud SIEM replacement, that means a written scope covering Wazuh rules, the OpenSearch backend and the detection-as-code workflow before any work starts.
How we scope
- Inventory the Sumo Logic sources, parsers, correlation rules and GitHub-managed detections you need to carry across
- Agree in writing which log sources, Wazuh agents and syslog devices are in scope for the first phase
- Define which compliance dashboards, such as PCI DSS or GDPR views, your auditors will expect to see
- Engagements are fixed-scope, with deliverables and timelines agreed in writing before work begins
How we build
- Deploy the Wazuh server, indexer and dashboard in your environment, with OpenSearch-backed storage sized to your retention
- Translate Sumo Logic parsing and normalization into Wazuh decoders and rules, and test each against replayed sample events
- Store rules in a Git repository with review and CI checks so detection changes follow the same process as code
- Configure SSO, role-based access and audit logging through the OpenSearch Security plugin and Wazuh settings
How we hand over
- Document each migrated rule, its data source, its mapping from the original Sumo Logic logic, and its known gaps
- Record which AI triage features are not replaced, so your analysts know which steps remain manual
- Run knowledge transfer with your security engineers on rule authoring, agent updates and index management
- Deliver runbooks for backups, upgrades and offline updates, and leave the repository under your control
How we support
- Offer ongoing support, upgrades and continuous testing as a retainer after handover
- Plan Wazuh 4.14 patch and OpenSearch minor-version upgrades as scheduled, tested changes
- Prepare controls and evidence for your compliance assessments, while independent auditors issue any formal opinion
- Re-run security testing of the SIEM and its data paths when your log sources or rules change
