Migrate from Sumo Logic to Wazuh: what the move involves
Most of this move is an agent, detection rule and history project, not a log-format copy. Sumo Logic collectors, source definitions, Cloud SIEM rules and its normalized signal model do not transfer to Wazuh as they are. Wazuh agents collect from endpoints, the Wazuh server decodes events with its own decoders and rules, and alerts land in the Wazuh indexer. The practical work is deciding which sources must keep reporting, installing agents or configuring syslog collection for agentless devices such as firewalls, and then rewriting each detection in Wazuh's rule language. Teams with a credit-based renewal, a data residency requirement or a lock-in concern usually start with this inventory because it sets the schedule and the cost.
The work is usually led by security engineering, who own the detection content and the compliance mapping, with the platform team building the Wazuh server, indexer and dashboard, and managing agent rollout through the server's remote configuration and upgrade features. An implementation partner is worth considering when the source count is high, when the indexer needs to be sized and clustered, or when the team lacks Linux and Elastic-style operations experience. Ask any partner for a written scope that names the sources, the rules to be rebuilt, the dashboards to be recreated and the acceptance tests. Effort depends mostly on source count, rule count and how much Sumo Logic-specific logic exists; none of these figures are supplied here, so measure them from your own Cloud SIEM rule export before asking for a quote.
Risk sits in three places: detection gaps during cutover, unclear ownership of rules after the move, and history that does not come across. Run Sumo Logic and Wazuh side by side for each source until alerts match on known events, and keep a written list of retired rules so nothing disappears silently. For history, Sumo Logic's browser CSV export is capped at 100,000 rows per search, so bring across only the periods that auditors or investigations need, and keep the rest in a read-only archive. Confirm the current Wazuh release line and patch cadence in the Wazuh release notes before you fix the target version, and confirm which compliance dashboards your framework needs with your assessor.
Which Sumo Logic Cloud SIEM capabilities map to Wazuh, and which need rework
This table maps the main Sumo Logic Cloud SIEM capabilities to their closest Wazuh equivalents and marks each as clean, needs rework or gap. Read each row as a starting hypothesis, since fit depends on your sources, rule volume and retention needs. Confirm every gap and rework item in a proof of concept before you commit to a cutover date.
| Sumo Logic capability | Wazuh equivalent | Status and what to confirm |
|---|---|---|
| Collectors and log sources | Wazuh agents on Linux, Windows, macOS, Solaris, AIX and HP-UX, plus syslog for network devices | Needs rework: replace each collector and source config, then confirm agent coverage for every OS in your estate |
| Agentless device feeds | Syslog collection and periodic API probing for devices such as firewalls | Needs rework: rebuild each HTTP or cloud pull as a Wazuh configuration, and confirm field decoding for each source |
| Cloud SIEM detection rules | Wazuh rules and decoders on the Wazuh server | Needs rework: translate rule logic by hand and version the rule files in your own repository |
| Insight and threat signals | No direct equivalent of Sumo Logic's managed threat content feed | Gap: confirm whether Wazuh rule sets and your own threat intelligence cover the signals you rely on today |
| AI triage and automated insights | No documented open-source equivalent in the Wazuh components | Gap: analysts must triage manually or with tooling you build and run yourself, so confirm the workload |
| Dashboards and searches | Wazuh dashboard views and indexer queries on OpenSearch-based storage | Needs rework: rebuild each dashboard, since panels and query syntax do not carry over directly |
| Compliance reporting | Prebuilt dashboard views for PCI DSS, GDPR, HIPAA and NIST 800-53 | Needs rework: map each report to the controls your assessor reviews, and confirm each view covers your scope |
| Vulnerability detection | Software inventory correlated with CTI or an offline vulnerability repository | Needs rework: confirm the feed source your environment can reach, especially on isolated networks |
| General log analytics outside security | Wazuh focuses on security monitoring, not general application log analytics | Gap: if teams use Sumo Logic for application logs, plan a separate platform such as an OpenSearch or Loki stack |
| User access and single sign-on | Wazuh supports single sign-on configuration in the dashboard | Needs rework: reconfigure identity provider settings and role mappings, then test access for each team |
| SOAR-adjacent response actions | Active response in Wazuh, with playbooks handled by a separate tool | Gap: confirm which automated actions must be rebuilt in a separate platform such as Shuffle |
What data and integrations you can move, and by which documented path
Sumo Logic history and live data take different routes into Wazuh, and most of the effort sits in agents, rules and integrations rather than in the data itself. The cards below separate the documented export limits from the collector, SSO and integration work you will need to plan and confirm before cutover.
Browser CSV exports for history
Users with the Download Search Results capability can export up to 100,000 rows per search as a CSV file from the browser. Anything larger needs several searches over shorter time ranges, which you must script or run by hand and then reconcile for gaps and duplicates. Use this path for the investigation records and compliance evidence you need to keep, not as a full log archive. Confirm your role holds the capability before planning the export window.
Data forwarding for new events
Data forwarding covers logs ingested after it is enabled, so it works for cutover but not for history. Confirm which destinations and formats your Sumo Logic plan supports, then decide whether a staging store will receive the forwarded data before Wazuh indexes it. Test with a sample source first, because forwarded events may arrive without the parsing and field names your Wazuh decoders expect.
Rebuilding collectors as Wazuh agents
Each Sumo Logic installed collector or source needs an equivalent Wazuh agent or log source. Wazuh agents run on Linux, Windows, macOS, Solaris, AIX and HP-UX, and they report log analysis, file integrity and inventory data to the server. Inventory every source, its host owner and its fields, then plan agent deployment and enrollment through configuration management such as Ansible or Puppet.
Syslog ingestion for agentless devices
Firewalls, switches and other appliances that cannot run an agent typically send syslog to the Wazuh server, which Wazuh supports through agentless monitoring. Check each device's syslog format and transport, the time zone and the source IP mapping, since these determine whether decoders and rules match. Plan the network paths and firewall rules from each device to the Wazuh server before cutover.
Single sign-on for the dashboard
Wazuh documents single sign-on for its dashboard, so analysts can sign in with your identity provider rather than local accounts. Map your Sumo Logic roles to Wazuh roles and permissions before go-live, and test group claims with a small set of users. Confirm the supported protocol and provider configuration in the current documentation for your release line.
Integrations to recreate by hand
Sumo Logic's hosted apps, connectors, notification targets and scheduled searches do not carry over automatically. List every integration that feeds or receives alerts, including ticketing, paging, chat and threat feeds, then rebuild each one in Wazuh as an integration, script or webhook. Record the owner and test result for each, since silent gaps in alert delivery are the most likely failure after cutover.
Migration sequence from inventory to Sumo Logic decommission
This sequence moves Sumo Logic Cloud SIEM detection and log sources to Wazuh in controlled stages, with each step leaving a written record that an auditor or incident responder can follow later.
Inventory sources, rules and compliance reports
Export the list of Sumo Logic collectors, sources, scheduled searches, Cloud SIEM rules, dashboards and the compliance reports your auditors rely on. Record the owner, data type, retention need and regulatory driver for each item. Confirm with your security team which sources are endpoints that suit Wazuh agents and which are network or cloud feeds that need syslog or API collection. The output is a source register and a list of detection and reporting obligations, and the step is done when a named owner has signed off on both.
Map rules and compliance reports to Wazuh
Translate each Cloud SIEM detection into a Wazuh rule, decoder or existing ruleset entry, and mark any detection that depends on Sumo Logic's proprietary normalization or AI triage as unmapped. Map each compliance report to the matching Wazuh dashboard view for the framework in scope, and note any evidence field that the dashboard does not show. Keep rule definitions in version control from the start. The output is a rule mapping document with a status for every item, and the step closes when the security lead accepts the gaps list.
Pilot on a representative set of endpoints
Install Wazuh agents on a sample of endpoints that covers each operating system, role and network zone in the source register, using the deployment method your change process allows. Confirm that alerts reach the Wazuh indexer and dashboard, that file integrity monitoring and vulnerability detection return results, and that the mapped rules fire on known test events. Use an isolated test, not production traffic, for triggering. The output is a pilot findings report listing decoder gaps, noisy rules, agent issues and the fixes applied. The step is done when the pilot findings are reviewed and the rule mapping is updated.
Run both platforms in parallel
Keep Sumo Logic receiving events while Wazuh receives the same endpoint and log sources. Compare alert volumes, detection outcomes and dashboard figures for the same period, and investigate every difference until its cause is recorded. Verify that the compliance views produce the evidence the auditor requested in the earlier cycle. Clarify with the vendor and your own environment how long the parallel period should run for your change control, since this depends on your obligations. The output is a parallel run log of differences and their resolutions, and the step closes when the security lead accepts the results.
Cut over by source group
Move sources in groups, starting with the lowest-risk group, by redirecting or removing the Sumo Logic collector and confirming Wazuh alerts for that group. Keep a rollback path for each group until its first full review cycle. Record each change with the group, date, change ticket, the person who approved it and the verification results. The output is a cutover record for every source group, and a group is complete only when its detections and reports run in Wazuh and the Sumo Logic source is disabled.
Decide and document the history plan
Use the export facts from the Sumo Logic export documentation to decide what historical data to bring across. Browser CSV exports from Sumo Logic are capped at 100,000 rows per search, so larger sets need multiple searches over shorter time ranges. Decide which records must move as evidence and which can be retained in Sumo Logic or an archive until retention ends. Confirm with your legal and compliance teams what retention applies to each category. The output is a retention plan naming each dataset, its format, storage location and owner.
Decommission Sumo Logic with evidence retained
After the retention plan is executed and the cutover records are complete, disable remaining Sumo Logic sources, export the final configuration and rules, and cancel the subscription on the date your contract allows. Store the source register, rule mapping, pilot findings, parallel run log, cutover records and retention plan together under change control. Confirm that the stored exports can be opened without Sumo Logic. The output is a decommission record with the evidence package, and the step is complete when the security lead and compliance owner both sign it.
How to run Sumo Logic and Wazuh in parallel and cut over safely
Run Sumo Logic and Wazuh side by side on a small group of endpoints first, and keep Sumo Logic as the system of record until Wazuh has proven it sees the same security events. Install Wazuh agents alongside existing Sumo Logic collectors on the same hosts, so both pipelines receive the same operating system logs, authentication events and file activity. Do not disable a collector until its replacement has run through at least one full cycle of your normal change, patch and business activity. Record, for each source group, which alerts Sumo Logic raises, which alerts Wazuh raises, and which events only one platform sees. Those gaps are the work list for decoders, rules and log collection settings in Wazuh.
Compare alert volumes and false positives per source group, not in aggregate. A matched alert count can hide a rule that fires heavily in Wazuh and never in Sumo Logic, or the reverse. For each candidate rule, have an analyst classify a sample of alerts from both platforms as true or false positive, and set a threshold you agree with the security operations lead before the cutover window opens. Switch source groups one at a time, starting with the least critical. Keep the Sumo Logic collector configuration and its forwarding path in version control so you can restore it quickly if Wazuh coverage drops. Confirm with your own team how long the old collector config must remain deployable before you decommission it.
Use Wazuh's remote agent configuration to control the rollout. The Wazuh server manages agent configuration and upgrades centrally, so a change to an agent group can be staged to one group, observed and then widened. Keep agents on a pinned version in each group. The Wazuh 4.14 line receives patch releases at intervals of one to two months, with 4.14.9 released on 14 October 2026, so schedule upgrades in a test group before production and read the release notes for each patch. Confirm with the Wazuh documentation how agent and server versions must be matched during an upgrade in your environment, and write that check into your change procedure.
How much history to bring across, by data type
This option leaves historical data where it already is and keeps it searchable only in its original form, so Sumo Logic remains the system of record for past periods until your retention period ends. It avoids the export limits entirely, but it keeps a second subscription running and means analysts query two places during the overlap.
- Scope the archive by data type: Keep security-relevant sources such as authentication, endpoint and cloud audit logs in the archive, and decide separately whether high-volume application logs need to be kept at all.
- Set an end date: Record when the archive contract or retention window ends so the subscription is not renewed by default.
- Confirm access controls: Check who can still search the archive and whether those accounts are reviewed under your existing access process.
- Document the location: Write down where the archived data lives so auditors and incident responders can find it without help from the migration team.
Ask your compliance owner which record categories must remain retrievable, for how long, and in what form. Confirm with Sumo Logic what your contract allows for read-only access after cancellation.
Short CSV exports are useful as evidence that a control operated during a defined period, such as a sample of login events or alert records. They are not a full copy of history. Sumo Logic lets users with the Download Search Results capability export up to 100,000 rows of search results as a CSV file from the browser. Larger exports need multiple searches over shorter time ranges.
- Plan the row budget: A window that returns more than 100,000 rows will be truncated, so split the period into smaller ranges before exporting and record which ranges you covered.
- Record the query: Save the exact search text, time range and time zone with each file so the evidence can be reproduced.
- Hash and store exports: Keep checksums and store files in a controlled location with restricted access, since CSV files often contain personal data.
- Label the samples as samples: Note in the evidence index that the files are excerpts, not complete logs.
Confirm with your compliance owner whether sampled exports satisfy the evidence requests you expect, or whether the auditor will require a complete record for a defined period.
Recent data is the most valuable history for rebuilding detections, because you need real events to test Wazuh rules against and to measure false positives. Bringing a bounded recent window lets the security team tune rules before cutover without importing years of data that no current detection depends on.
- Choose the window by use case: Select the period that covers your normal activity, known incidents and the event types each rule depends on, rather than a fixed length chosen for convenience.
- Export in slices: Use shorter time ranges so each CSV stays under the 100,000-row limit, and check row counts before you start.
- Map fields first: Compare exported field names with the decoders and rules you plan to write in Wazuh so you know which sources need custom decoding.
- Replay into a test indexer: Load the slices into a non-production Wazuh environment to validate rule behavior against known events.
Ask your security engineers which detections need historical events to validate, and confirm with them how long a tuning window must be to be meaningful.
This option accepts that Wazuh begins with an empty history and collects only new events from the cutover date. It is the simplest option technically and it avoids the export limits, but it creates a gap in searchable history that must be covered by the archive or sample options above.
- Cut over by source: Move low-risk sources first and keep the Sumo Logic collector running for critical sources until Wazuh has been validated for them.
- Accept the gap explicitly: Record the cutover date for each source and the period that now depends on the archive or exported samples.
- Run both during validation: Compare alert counts from Wazuh agents with Sumo Logic detections for the same sources before retiring a collector.
- Track retention in Wazuh: Configure indexer retention and backups from day one so the new history grows under your own policy.
Confirm with your compliance owner that no retention requirement is broken by the gap, and that the archive or sample evidence covers every period they must be able to produce.
What drives the cost and duration of this migration
A Sumo Logic to Wazuh move has a few cost centers that scale differently: endpoint count, rule translation, compliance scope, and the indexer and server that hold the data. Each one changes both the one-time project effort and the recurring infrastructure and support bill.
Endpoint count and agent rollout
Every Linux, Windows or macOS host that today sends logs through a Sumo Logic collector needs a Wazuh agent or an agentless syslog path for firewalls and similar devices. Count hosts by operating system and by change window, since fleet size and mix set the rollout effort. Ask the quote to state which deployment method covers each group, such as configuration management tooling for agent installs, and whether agent upgrades are included. Agent rollout is mostly one-time work, but agent upkeep recurs.
Cloud SIEM rule translation
The count and complexity of your Cloud SIEM rules and signals drive most of the one-time engineering effort. Simple field-match rules translate quickly into Wazuh decoders and rules, while correlation logic, lookups and rules that depend on Sumo Logic's managed normalization need more design. Export your rule inventory, mark which rules depend on vendor-managed content, and ask the quote to price translation per rule group rather than as one lump sum.
Compliance framework scope
Wazuh's dashboard ships prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53. Each framework you report against adds mapping, dashboard validation and evidence collection work, and overlapping controls reduce it. Confirm with your assessor which framework views they accept and what evidence format they expect. Preparing evidence is readiness work, and an independent auditor or certification body still issues any attestation.
Indexer sizing and high availability
The Wazuh indexer stores alerts and drives search speed, so daily alert volume, retention period and replica count set the storage and memory you must provision. High availability means extra indexer nodes and their backups, which is a recurring infrastructure cost. Ask the quote to show the sizing inputs it assumed and to separate hot retention from archived history, because that split decides how much history you can afford to keep searchable.
Wazuh server clustering
The Wazuh server can run as a cluster to scale horizontally, which matters once agent count or event rate grows. A single node is simpler to run but leaves agent connections and rule analysis on one host. Ask whether the quote includes cluster configuration, load balancing for agent enrollment, and remote configuration and upgrade management, and who owns each step after handover.
Staff time and outside support
Internal staff cover security analysis, identity integration, change control and rule ownership after go-live, and that time recurs for as long as the platform runs. Outside support can cover the one-time build, hardening and cutover, or a recurring retainer for upgrades and patching. Ask the quote to name who performs each task, what hours or roles it assumes, and which upgrades and patch releases the retainer includes.
What usually goes wrong in a Sumo Logic to Wazuh move and how to prevent it
How do gaps in coverage appear during a Sumo Logic to Wazuh cutover?
Coverage gaps usually appear when a host is switched from its Sumo Logic collector to a Wazuh agent before the agent is confirmed reporting, or when a source is missed altogether. Hosts that run both collectors and agents for a period avoid silent blind spots, but the overlap doubles load and can produce duplicate alerts. Prevent gaps by building a source-by-source cutover checklist: for each host, confirm the agent reports, its log files are read, and the matching alerts reach the Wazuh dashboard before the collector is removed. Keep the old collector running until that check passes for every source in a given group.
Why do translated detection rules generate so much noise in Wazuh?
Sumo Logic correlation logic and Wazuh rules differ in how they match events, how they group them and what thresholds they use, so a direct translation often keeps the intent but not the tuning. Rules copied with default thresholds fire on normal administrative activity, and rules without the right decoders match nothing at all. Prevent noise by rebuilding each rule from its detection purpose, running it in a test mode against replayed or recent events, and recording the expected alert rate before enabling it. Move accepted rules into version control so every change has a reviewer and a reason.
Why might Wazuh compliance dashboards fail an auditor's review?
Wazuh dashboards show what its rules and checks detected, which is not the same as proof that a control operated across the full audit period. Auditors ask about the control design, the population of systems in scope, the evidence of review and the retention of that evidence, and a prebuilt dashboard view answers only part of that. Prevent the mismatch by mapping each in-scope requirement to a specific Wazuh check, rule or report, defining the system population from your asset inventory, and agreeing with your auditor in advance which exports and retained records they will sample. Independent auditors and certification bodies decide whether controls meet a standard. DeployOpen prepares systems, controls and evidence for that assessment but does not issue audit reports, attestations or certifications.
How much Sumo Logic history should you bring into Wazuh?
Bring across only the history that your open investigations, audit obligations and retention policy actually need, because Sumo Logic's documented browser export is capped at 100,000 rows per search and larger pulls require multiple narrower searches. Forwarding new data does not carry history over, so older records need a separate plan. Prevent broken investigations by listing the cases, reports and retention requirements that depend on old data, exporting those ranges in slices, and storing the exports in a read-only archive with checksums and a log of what each file covers. Confirm the retention period your regulator or policy requires before deciding the cutoff date.
What happens when Wazuh agent versions drift across endpoints?
Agent versions drift when endpoints are installed at different times and nobody manages upgrades, which leads to inconsistent decoders, missing features and alerts that behave differently by host. Wazuh's server can manage agent configuration and upgrades remotely, so use that capability rather than ad hoc installs. Prevent drift by pinning a supported 4.14 release line, reviewing the Wazuh release notes on a set schedule (the 4.14 line received patch releases roughly every one to two months in 2026), testing each patch in a staging group, and reporting agent versions from the server so unmanaged hosts are visible. Confirm the upgrade procedure and the compatibility between server, indexer, dashboard and agent versions before rollout.
Which integrations get missed when inventorying a Sumo Logic deployment?
Teams usually inventory the obvious collectors and forget the less visible inputs: cloud data forwarding, scheduled searches that feed tickets, dashboards shared with auditors, alert webhooks, and API-based pulls by other tools. Firewalls and appliances that send syslog may also have been configured with Sumo Logic endpoints rather than generic syslog targets. Prevent omissions by tracing every outbound destination and every saved search, monitor and scheduled job back to its owner, and listing the downstream systems that consume each output. Wazuh supports agentless monitoring of devices through syslog collection and periodic API probing, so confirm which sources need an agent and which need one of those paths before cutover.
Who should own the Wazuh deployment after the migration is complete?
Ownership fails when the migration project ends and no named team is responsible for rules, agent upgrades, indexer capacity and the compliance evidence trail. Assign an owner for each function before cutover, write a runbook covering agent deployment, rule change approval and backup of the indexer, and decide who responds to alerts that the new rules produce. Whether your own staff can run this depends on the team's Linux, search and detection skills, so assess that honestly. DeployOpen plans, implements, hardens, backs up, upgrades and documents self-hosted platforms in your environment, and offers ongoing support and continuous testing as retainers, with scope agreed in writing before work starts.
How the migration differs by starting point
A small team with mostly Linux servers usually has the shortest path. Most of the work is replacing Sumo Logic collectors with Wazuh agents on each host, then confirming that the log sources you actually search today are read by the Wazuh server. Because the estate is small, a single-node deployment is often enough to start, and you can test the agent configuration on a few hosts before rolling it out wider. Expect the first weeks to go to fixing decoders and rule noise rather than to infrastructure.
- Agent rollout: Install Wazuh agents on Linux hosts and retire the Sumo Logic collectors only after the agents report to the Wazuh server.
- Log sources: List every file path, journal unit and syslog stream your current collectors read, then confirm each one is collected by the agent or by syslog.
- Deployment size: A single node may fit a small estate, but confirm sizing against your daily event volume with the Wazuh documentation before you commit.
- Remote management: Use the server's remote agent configuration and upgrade features to keep a small fleet consistent without manual changes on each host.
- History: For a small estate, the Sumo Logic CSV export limit is rarely the constraint, so decide which recent searches you need to keep as reference.
Before cutover, check that your current detection content maps to Wazuh rules for the Linux sources you named, and record what you could not map.
A large estate with Windows and macOS endpoints has more moving parts. Wazuh agents run on Windows and macOS as well as Linux, but each platform has its own log channels, configuration and upgrade process, so the rollout needs a staged plan by operating system. Endpoint telemetry tends to be the largest share of volume, so you should size the indexer and agent configuration before the first wave, not after. Software inventory and vulnerability detection also start to matter at this scale, because they depend on what the agents report.
- Staged rollout: Move one operating system or business unit at a time, with a rollback path for each wave.
- Event scope: Agree which Windows event channels and macOS log sources you collect, since collecting everything multiplies volume.
- Inventory data: Use the software inventory agents collect as the input for vulnerability detection, and confirm how often it refreshes in your environment.
- Sizing: Ask for indexer sizing based on your measured endpoint event rate and retention, not on agent count alone.
- Sumo Logic exports: Plan history by source, because a single browser export is capped, and large exports require several shorter time ranges.
Before wide rollout, run both agents on a pilot group and compare alert volumes for the same events.
Some environments have segments with no route to the internet. Sumo Logic is a SaaS service, so these segments cannot use it at all, and the migration has to account for how Wazuh receives updates and vulnerability data without outside access. Wazuh documents an offline installation guide for systems without internet connectivity, and its vulnerability detection can use an offline vulnerability repository in place of the Wazuh Cyber Threat Intelligence platform. The work is mostly planning the transfer of packages and data into the segment and keeping that process repeatable.
- Offline installation: Follow the Wazuh offline installation guide for the components and agents in the isolated segment.
- Offline vulnerability data: Set up the offline vulnerability repository and confirm how it is refreshed, since detection quality depends on it.
- Update path: Define how packages and repository updates move across the boundary, with a record of each transfer.
- Agent connectivity: Confirm that agents in the segment can reach the Wazuh server on the internal network only.
- Data retention: Because nothing leaves the segment, decide locally what history is kept and where it is stored.
Confirm the offline update workflow with your security and change teams before the first installation, and test a full update cycle in a lab.
A regulated team needs compliance reporting working soon after cutover, not as a later project. Wazuh's dashboard includes prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53, so the starting point is to decide which framework your auditors will test against and map it to the agent data you collect. Those prebuilt views show how the data relates to each framework, but they do not decide whether your controls pass. An independent assessor makes that decision, and DeployOpen prepares the systems, controls and evidence for that assessment without issuing any attestation.
- Framework scope: Name the frameworks and the systems in scope before building any dashboard.
- Evidence mapping: Record which Wazuh alerts, agent inventories and configuration checks back each control you must show.
- Retention proof: Keep a written record of how long alerts and logs are retained, and confirm it matches your policy.
- Parallel running: Keep Sumo Logic reports available until the Wazuh views produce the same evidence for an agreed period.
- Access control: Confirm how dashboard and indexer access is authenticated, including single sign-on where your policy requires it.
Ask your assessor which evidence formats they accept before you design the reports.
Questions buyers ask before moving from Sumo Logic to Wazuh
What does a move from Sumo Logic to Wazuh cost?
The software has no license fee under GPLv2, so the cost is the work and the infrastructure. Costs fall into three groups: the indexer, server and dashboard hosting you run (compute, storage and backups that recur monthly or yearly), the one-time work of deploying agents, rebuilding detection rules and reports, and the ongoing staff or partner time to patch and tune the stack. Cost rises with the number of endpoints, daily event volume, retention period and the number of rules you port. Ask any quote to itemize these components and to state which hosting assumptions it uses. Compare that total against your current Sumo Logic credit consumption over the same retention period.
How long does a Sumo Logic to Wazuh migration take?
No duration is fixed by the product, so the timeline depends on the scope you set. The main variables are the number of endpoints that need Wazuh agents, how many Sumo Logic collectors and sources feed the SIEM, how many correlation rules and dashboards must be rebuilt and validated, and how much history you keep. Teams that run both platforms in parallel during cutover usually need more time than teams that switch sources in one window. Agree a timeline in writing against a defined scope before work starts, and confirm which phases (inventory, pilot, cutover, rule validation) are included.
What work must our internal team provide during the migration?
Your team must supply knowledge of what the business needs to detect and report, and the access to make changes. In practice that means an inventory of log sources and Sumo Logic collectors, owners for each system being moved to a Wazuh agent, decisions on which Sumo Logic rules and alerts still matter, and sign-off on compliance evidence. Your team also needs people to approve network rules for agent-to-server traffic, change windows for endpoints, and someone accountable for the self-hosted platform after handover. Confirm these responsibilities in the written scope so nobody assumes the other side owns them.
Can our own team migrate from Sumo Logic to Wazuh without outside help?
A capable security engineering team can run the migration alone, provided it has Linux administration, endpoint management and SIEM rule-writing skills and time that is not already committed to incident response. Wazuh ships documented deployment paths, including an all-in-one install, Docker, Kubernetes, Ansible and Puppet, so the platform itself is accessible. The harder parts are rebuilding detections faithfully and proving that compliance reports still hold, which benefit from a second reviewer. Assess your team's skills against the Wazuh documentation and decide whether to bring in DeployOpen for a fixed-scope implementation, testing or a retainer for ongoing upgrades.
How much Sumo Logic history should we bring into Wazuh?
Bring only the history you have a documented need for, because Sumo Logic exports are limited and Wazuh does not import Sumo Logic data natively. Sumo Logic's browser export allows up to 100,000 rows of search results as a CSV file, and larger exports require multiple searches over shorter time ranges. Typical needs include audit evidence for an open assessment, open investigations and the retention period your regulators require. Keep those records in a separate archive that can be searched when needed, and do not expect the full analytics history to become live Wazuh alerts. Confirm your retention obligations with your compliance lead before exporting anything.
Is Wazuh free to license, and what does that not cover?
Wazuh is free to use under the GNU General Public License version 2, with an exception that permits linking with OpenSSL. That license covers the software, not the infrastructure or people needed to run it. You still pay for servers or cloud accounts, storage for the indexer, backups, staff time, and any outside implementation, support or upgrade services. Wazuh Cloud is a separate commercial offering, so check its terms if you consider it. Have your legal team review the GPLv2 obligations if you plan to modify Wazuh source code and redistribute it.
Does Wazuh cover compliance reporting that Sumo Logic provides?
Wazuh's dashboard includes prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53, and its vulnerability detection and file integrity monitoring feed evidence into those views. Sumo Logic reports must be recreated and checked against each framework's control requirements, because prebuilt content does not guarantee that your evidence meets an auditor's expectation. Build a control-to-report map, test each report with real data, and document the configuration. DeployOpen prepares systems, controls and evidence for compliance assessments, but auditors and certification bodies issue any audit report or certification.
What breaks when we rebuild Sumo Logic detections in Wazuh?
Detections fail when the new platform sees different fields, timestamps or event types than the old one. Wazuh decodes agent data with decoders and evaluates it with rules, so each Sumo Logic query must be translated and tested against sample events from the same sources. Common gaps include field names that differ after decoding, rules that depended on Sumo Logic's normalization, and alerts that relied on a managed threat feed. Run old and new detections in parallel on the same events, compare alert counts and fix the differences before you retire the Sumo Logic rules.
How DeployOpen scopes, runs and supports this migration
DeployOpen is a Chainscore Labs company that plans, implements, integrates, hardens, documents and supports self-hosted open-source platforms inside the client's own infrastructure, including its cloud accounts, data centers or air-gapped networks. For a move from Sumo Logic Cloud SIEM to Wazuh, that means the Wazuh indexer, server and dashboard, the agent rollout across endpoints, and the work of rebuilding detection rules and compliance views on top of them. Most engagements are fixed-scope, so the first useful step is a written scope that names the sources to onboard, the Sumo Logic rules and dashboards to retire or rebuild, the compliance frameworks in scope, and the historical data to keep. Ask any partner to state which of these items are included and which are excluded before work starts.
The quote should follow from that written scope rather than from a generic per-seat or per-volume estimate. The main cost drivers are the number of endpoints and firewalls that need agents or agentless syslog collection, the number of Sumo Logic detection rules that must be mapped and tested, how many compliance reports must be reproduced, the size of the Wazuh indexer cluster you choose, and whether the platform must install without internet access. Ask for deliverables and timelines per phase, including acceptance tests for detections and a cutover plan. Part of the cost is one-time (design, migration, testing) and part recurs (operations, upgrades, and any retainer for continuous testing). DeployOpen does not publish a price list, and the fee depends on that scope.
DeployOpen can offer ongoing support, upgrades and continuous security testing under a retainer, which suits a team that expects to keep pace with Wazuh's 4.14 patch line and its regular point releases. DeployOpen also prepares systems, controls and evidence for compliance assessments, such as the logs, rule definitions and access records an auditor will ask for. It does not issue audit reports, attestations or certifications; an independent auditor or certification body does that work. Before you engage a partner, confirm with them in writing which evidence they will produce, who signs off on it, and how it will be handed over for your assessor.
