Which fits your SIEM renewal: Sumo Logic or Wazuh?
If your Sumo Logic renewal is driving this review, the short answer is this: keep Sumo Logic if you want a managed SaaS service that also handles general log analytics for application and infrastructure teams and you do not want to run a cluster. Move toward Wazuh if security monitoring is the core job, you need agents on endpoints for log analysis, file integrity monitoring and vulnerability detection, and you want the data and the platform inside your own environment under GPLv2 with no license fee. Sumo Logic fits best where logs serve many teams beyond security, since its strength is broad search, dashboards and analytics across that data. Wazuh fits best where security outcomes are the target and your staff can operate the four components: the Wazuh indexer, server, dashboard and agents.
Wazuh's strongest case is endpoint coverage. Its agents run on Linux, Windows, macOS, Solaris, AIX and HP-UX, and it adds agentless monitoring for devices such as firewalls through syslog collection. Its vulnerability detection correlates the software inventory agents collect with vulnerability data from the Wazuh Cyber Threat Intelligence platform or an offline repository. Its dashboard includes prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53. Confirm that these views cover the specific controls your assessor will test, because a prebuilt view is a starting point, not evidence on its own. Sumo Logic remains the better fit if your team relies on its wider log analytics and managed operations rather than on endpoint security controls.
The decision turns on three questions. First, where must the data live? Sumo Logic is SaaS only, so if logs cannot leave your network, Wazuh is the practical choice. Second, who will run the platform? Wazuh's server can run as a cluster and the indexer needs sizing and upkeep, so confirm that you have people who can own patching and upgrades, and check the release cadence in the Wazuh release notes before you commit. Third, is security the main use case or one of several? If most of your log volume serves operations or development, a security-only tool may leave gaps that a general analytics platform covers. Ask your Sumo Logic account team for a written renewal quote, then compare it with a costed self-hosted plan using the same retention and scope.
Which scenarios favor Sumo Logic and which favor Wazuh
This table maps common buying scenarios to the platform that fits better and the condition that decides it. Read each row against your own data location rules, staffing and log mix, since the right answer often depends on one condition rather than the product alone.
| Scenario | Better fit | Condition that makes it so |
|---|---|---|
| Data residency mandate that bars sending logs to a public cloud | Wazuh | Your regulator or contract requires logs to stay in your own data centers or regions Sumo Logic does not serve. Sumo Logic is SaaS only, so confirm its hosting regions against your requirement before assuming it fits. |
| Small team with no dedicated SIEM operations staff | Sumo Logic | You lack people to run indexer clusters, upgrades and agent fleets. Wazuh is free to run but you carry the operating work, so weigh that staff time against Sumo Logic's managed service. |
| Heavy non-security log analytics across applications and infrastructure | Sumo Logic | Most of your volume is application, performance or operational logs rather than security events. Wazuh is security-focused, so a general log analytics tool may cover more of the workload. |
| Endpoint-heavy estate across Linux, Windows and macOS | Wazuh | You need lightweight agents on many endpoint types, plus file integrity monitoring and vulnerability detection from the software inventory the agents collect. |
| PCI DSS or NIST 800-53 reporting as the main driver | Wazuh | You want prebuilt compliance views in the Wazuh dashboard and can supply the evidence an assessor expects. Compliance dashboards prepare evidence; they do not replace an independent assessment. |
| Air-gapped or offline sites | Wazuh | Sumo Logic requires connectivity to its cloud, while Wazuh has an offline installation guide and can use an offline vulnerability repository instead of the Wazuh CTI platform. |
| Credit cost pressure on a growing log volume | Wazuh | Your credit-based spend rises with volume and you can run your own indexer cluster. Compare total cost including compute, storage, upgrades and staff time before deciding. |
| Existing Sumo Logic dashboards and searches used across many teams | Sumo Logic | Rebuilding dashboards, searches and monitors would take significant effort, and the business value of continuity outweighs the license spend for now. |
Where your security logs live under each option
Sumo Logic is a SaaS service, so your security logs are stored in the region the vendor provides and under its operating model. A Wazuh deployment keeps the indexer, server and dashboard inside infrastructure you choose, which shifts identity, retention and evidence work onto your team.
Storage region and residency
Sumo Logic stores ingested logs in the SaaS deployment region tied to your account, so residency is a contract and deployment question you must answer before onboarding. A Wazuh indexer runs in your own cloud account, data center or air-gapped network, which means the location of every alert, archived event and agent inventory is set by your architecture. Confirm with Sumo Logic which region hosts your tenant and which sub-processors touch the data. Confirm in your own environment where the indexer nodes and their snapshots physically sit.
Wazuh indexer as your data store
The Wazuh indexer is the full-text search and analytics engine that stores alerts, so it becomes the system of record for your security events. Sizing, replication, snapshot targets and access to that cluster are decisions your team owns. Ask who can read raw alerts, who can delete indices, and where backups are written. These controls replace the vendor-side retention and access settings you would otherwise rely on in a SaaS platform.
Identity and single sign-on
Wazuh dashboard access can be federated through single sign-on, so analyst accounts can follow your existing identity provider rather than local dashboard users. Sumo Logic access is governed by its own roles and SSO configuration within the SaaS tenant. Map each analyst role to a Wazuh role before cutover, and confirm which protocol and identity provider your version supports. Review how service accounts and API credentials are issued and rotated, since these are often the weakest access path.
Compliance dashboards and their limits
Wazuh ships dashboard views for PCI DSS, GDPR, HIPAA and NIST 800-53, which organize alerts and agent findings by control area. These views show evidence signals, not a conclusion that a control is met. You still need documented scope, policies, change records and exception handling. DeployOpen prepares controls and evidence for assessments, but independent auditors issue the reports and attestations. Ask your assessor which artifacts they expect from the dashboards and which they will collect separately.
Retention and evidence custody
Under a SaaS model, retention and archive behavior depend on your Sumo Logic plan and export options, and exporting large result sets is constrained by its CSV limits. With Wazuh, retention periods, index lifecycle and offline archives are your decisions. Document how long alerts, agent inventories and vulnerability records are kept, who approves deletion, and how evidence is hashed and stored. Agree these settings with your auditor and legal team before go-live.
Air-gapped and offline operation
Some sites cannot send logs to any public cloud, and Wazuh documents an offline installation path plus an offline vulnerability repository in place of the Cyber Threat Intelligence platform. Those sites must plan how signatures, rules and vulnerability data reach the network through an approved transfer process. Confirm which update artifacts you must import and how often your change board will accept them. Test the offline procedure on a non-production copy before relying on it for evidence.
Deployment models for Wazuh: all-in-one, cluster, Docker, Kubernetes or Wazuh Cloud
The all-in-one and step-by-step installations suit a single site with a modest number of endpoints and a team that wants full control of each component. The all-in-one path places the Wazuh indexer, server and dashboard on one host, while the step-by-step path separates them so each can be sized and hardened on its own. Both paths assume you provision the operating system, storage, time synchronization, certificates and firewall rules yourself.
- Component placement: The all-in-one install is the fastest route to a working lab or pilot, but it shares CPU, memory and disk among the indexer, server and dashboard.
- Step-by-step separation: Splitting components lets you scale the indexer's storage and the server's analysis capacity independently.
- Prebuilt images: The OVA virtual machine and the Amazon Machine Image reduce the initial build work, but you still own patching, hardening and sizing after first boot.
- Agent enrollment: You decide how agents are deployed and which groups they join, typically through your existing configuration management.
- Operations: Backup of indexer data, certificate renewal and upgrade windows remain with your team.
Confirm the recommended hardware for your expected event volume and retention with the current Wazuh documentation before you size the host.
The Wazuh server can run as a cluster for horizontal scaling, which spreads analysis of agent data across several nodes as the number of endpoints grows. The cluster also lets the server manage agent configuration and upgrades remotely, so you do not log in to each endpoint to change its settings. This model is the usual choice when a single server node can no longer keep up with event volume or when you need the analysis tier to tolerate a node failure.
- Horizontal scaling: Additional server nodes share the analysis load as agent count and event rate increase.
- Remote agent configuration: Group-based configuration and agent upgrades are pushed from the server rather than applied by hand on each host.
- Indexer sizing: The cluster design does not remove the need to size the indexer for storage and query load, which is often the larger cost.
- Network design: You must plan the traffic between nodes, the agent connection path and load distribution for enrollment.
- Testing: Failover behavior, rolling upgrades across nodes and restore procedures must be tested in your own environment.
Ask the implementation partner or Wazuh to document how the cluster behaves during a node failure and a rolling upgrade before you commit to a topology.
Docker and Kubernetes deployments package the Wazuh components as containers, which fits teams that already run a container platform and want consistent builds across environments. The container model shifts routine work such as image rollout and restart into your orchestration tooling. It does not reduce the security or data work, and persistent storage for the indexer must be designed deliberately because container storage is easy to lose if it is not bound correctly.
- Persistent volumes: Indexer data, certificates and configuration need durable storage that survives pod or container replacement.
- Image provenance: You decide which image versions to pull, how they are scanned and how they are promoted between environments.
- Resource limits: Memory and CPU limits must leave headroom for the indexer, which is sensitive to resource starvation.
- Upgrade process: Rolling new image versions through the cluster needs a tested runbook, including rollback.
- Skills: Your team needs Kubernetes operations experience for storage classes, networking and secrets handling.
Confirm the supported container images, orchestration versions and storage requirements in the Wazuh deployment documentation before you choose this model.
The offline installation guide covers systems without internet connectivity, which is the route for classified, air-gapped or tightly segmented networks. Vulnerability detection can use an offline vulnerability repository instead of the Wazuh Cyber Threat Intelligence platform, so the vulnerability data reaches the server through a path you control. Packages, rules and vulnerability content must be moved into the enclave through an approved transfer process.
- Package transfer: Installation media and updates are staged outside the network and imported under your change control.
- Offline vulnerability repository: You maintain the vulnerability feed locally and decide how often it is refreshed.
- Update cadence: Each patch release must be re-staged, tested and approved before it enters the enclave.
- Agent deployment: Agents on isolated endpoints need the same offline package path and an internal enrollment route.
- Evidence: Keep records of every imported artifact, its checksum and the approval behind it.
Ask for the offline guide version that matches your target release and confirm how the offline vulnerability content is refreshed before you plan the transfer schedule.
Wazuh Cloud is the managed option, where the vendor operates the platform and you consume it as a service. It moves infrastructure operation, upgrades and much of the availability work away from your team, at the cost of hosting your security telemetry outside your own infrastructure. Whether that trade-off suits your data residency, contractual and audit obligations depends on what the service agreement and its data location terms state, so review them before any log leaves your network.
- Operations shift: Hosting, indexer maintenance and platform upgrades are handled by the provider under its service terms.
- Data location: Confirm where telemetry is stored, processed and backed up, and whether that matches your residency rules.
- Access and identity: Check which single sign-on and role controls the service offers for your administrators.
- Exit path: Ask how you export alerts, configuration and history if you later move back to a self-hosted deployment.
- Cost structure: Recurring service fees replace your hardware and staff time, and the quote should state how they scale with agent count and data volume.
This option is not self-hosted, so it falls outside the model this page assumes for a fully operator-run stack. Confirm the service terms and data location commitments directly with the provider.
What you pay for in Sumo Logic credits versus a self-run Wazuh cluster
Sumo Logic bills consumption through a subscription and credits, while Wazuh carries no license fee under GPLv2 but moves infrastructure, rollout and upkeep onto your team or implementation partner. The cards below separate one-time work from recurring spend so you can build a like-for-like quote before comparing totals.
Sumo Logic subscription and credits
Sumo Logic is a paid SaaS subscription, and consumption is measured against credits that your contract defines. Ask the vendor how Cloud SIEM and general log analytics draw on those credits, which ingest and query actions consume them, and how overage is billed when usage rises. Request the unit definitions in writing before you model a three-year total. This is a recurring cost that grows with log volume and with the number of security use cases you enable.
Wazuh license and support tier
Wazuh is free to use under the GNU General Public License version 2, so the software itself carries no license fee. Any paid spend comes from optional services such as Wazuh Cloud or outside support, which you should price separately. Confirm with Wazuh which features, if any, sit behind a commercial tier before you assume the full scope of the open-source stack. This is the cost line that rarely changes between quotes.
Indexer, server and dashboard compute
Wazuh runs four components: the indexer that stores alerts, the server that analyzes agent data, the dashboard and the agents on endpoints. Compute and storage for the indexer typically scale with alert volume and retention, and the server can run as a cluster for horizontal scaling. Model hardware or cloud instances for each tier, then add replicas for availability. These costs are recurring and depend on your cloud or data center pricing, not on Wazuh.
Agent rollout effort
Wazuh agents run on Linux, Windows, macOS, Solaris, AIX and HP-UX, and agentless collection covers devices such as firewalls through syslog. Rollout is largely one-time work: packaging, testing configurations, and deploying through tools such as Ansible or Puppet. Count the endpoints per operating system and the devices that need syslog forwarding, because each class has a different effort profile. Your Sumo Logic collector inventory is the starting list.
Upgrades across the 4.14 line
Wazuh's current release line is 4.14, and patch releases have arrived roughly every one to two months in 2026. Each patch needs a test cycle across indexer, server, dashboard and agents, plus a rollback plan. Treat upgrades as a recurring staff task in your budget, and confirm the upgrade order and compatibility between agent and server versions in the release notes before each change.
Staff time and outside support
Operating the stack is the largest hidden cost. Plan for engineers who tune decoders and rules, manage index retention, handle agent health and respond to alerts. Outside support, whether from Wazuh or a partner, is a recurring option you can buy to cover gaps. Ask any provider which hours, response targets and upgrade duties the quote includes, and confirm whether the quote is per year, per month or per engagement.
DeployOpen fixed-scope implementation
DeployOpen plans, implements, hardens, backs up and documents self-hosted platforms in your own infrastructure, and most engagements are fixed-scope with deliverables and timelines agreed in writing before work starts. This is a one-time cost for the build, with optional retainers for ongoing support, upgrades and testing. DeployOpen does not publish a price list, so request a quote built from your written scope, endpoint count and retention targets.
How a move from Sumo Logic to Wazuh unfolds
The sequence turns Sumo Logic collectors, searches and compliance views into a Wazuh deployment that covers the same sources, with a clear record of what history was kept and what was left behind.
Inventory sources, collectors and detections
Your team lists every log source that sends data to Sumo Logic today, including installed collectors, syslog feeds, cloud integrations and API-based sources. For each one, record the operating system or device type, the owner, the data volume class and the saved searches, scheduled searches and Cloud SIEM rules that depend on it. Confirm with the detection owners which rules are still in use. The step is done when you have a single inventory that maps each source to a planned Wazuh method: agent, syslog or API probe.
Deploy the Wazuh stack in your environment
DeployOpen or your platform team installs the Wazuh indexer, server and dashboard in your own cloud account, data center or air-gapped network, choosing a deployment option that fits your hosting standards. The server can run as a cluster when agent counts or event rates require it. Set up single sign-on if your identity provider supports it, and confirm the storage and retention settings that will hold alerts. The step is done when the dashboard loads, a test agent reports in, and a test alert is indexed and visible.
Roll out agents and syslog for agentless devices
Endpoints and servers receive Wazuh agents on Linux, Windows, macOS and other supported systems, with configuration managed centrally from the Wazuh server. Network devices that cannot run an agent, such as firewalls, send syslog to the server, and the team sets up periodic API probing where the vendor offers it. Replace Sumo Logic collectors one source group at a time so each group has an owner. The step is done when every inventoried source reports, and each one has a documented owner and fallback.
Rebuild detection rules and compliance views
Map each exported Sumo Logic detection to Wazuh decoders, rules and alert levels, then test them against replayed or live events. Recreate the compliance views your auditors use, using the prebuilt dashboards for PCI DSS, GDPR, HIPAA and NIST 800-53 as a starting point and adding your own controls where the framework does not match your scope. Store rule changes in version control. Anything that depended on Sumo Logic AI triage or other proprietary features should be listed as a gap with a named owner. The step is done when each retained detection has a tested Wazuh equivalent and the gap list is signed off.
Run both platforms in parallel
Sumo Logic and Wazuh receive the same events for an agreed period, so analysts can compare alert volumes, false positives and coverage gaps. Review the differences with detection owners and tune the Wazuh rules before any Sumo Logic feed is switched off. Confirm that vulnerability detection and file integrity monitoring produce the output your teams expect. The step is done when the comparison review records no unexplained coverage gap and the detection owners accept the Wazuh results.
Decide how much history to keep
Sumo Logic lets users with the Download Search Results capability export up to 100,000 rows as CSV from the browser, and larger exports require several searches over shorter time ranges. Decide which history must move, such as records needed for open investigations or regulatory retention, and export it in pieces. Agree with your compliance lead where the rest will be archived or whether it will be kept only in the Sumo Logic retention window. The step is done when a written history decision names each data set, its export method and its archive location.
Cut over and retire Sumo Logic feeds
After the parallel run is accepted, the team switches each source to Wazuh as the system of record, removes the Sumo Logic collectors, and disables the old scheduled searches and rules. Access to Sumo Logic is limited to read-only for the agreed period. Update runbooks, escalation paths and the subscription terms of your team's contract. The step is done when no source sends primary alerts to Sumo Logic, the runbooks name Wazuh, and the cutover record is filed with the compliance team.
Where Sumo Logic's general log analytics goes beyond a security tool
Sumo Logic is not only a security product. Its general log analytics serves application and operations teams who troubleshoot services, build dashboards for latency and error rates, and run wide searches across application, infrastructure and cloud logs. Wazuh is built around security monitoring: its agents collect logs and inventory data, its server applies decoders and rules, and its dashboard presents alerts, file integrity monitoring, vulnerability detection and compliance views for frameworks such as PCI DSS, GDPR, HIPAA and NIST 800-53. A Wazuh deployment does not replace application performance dashboards or free-form operational search by default, so those needs must be scoped separately before you retire anything.
Before you move any data, list the sources that feed your current Sumo Logic deployment and tag each one as security-relevant or operational. Authentication events, endpoint telemetry, firewall and cloud audit logs usually belong in Wazuh. Application debug logs, request traces and high-volume service output often do not, and forcing them into a SIEM raises storage cost and dilutes alert quality. Ask your security and operations leads to agree on this split in writing, and confirm which Sumo Logic dashboards and searches are used by people outside the security team.
If most of your logs are non-security, plan for a general log platform alongside Wazuh rather than treating Wazuh as the single store. OpenSearch can cover broad search and dashboards, and Grafana Loki is covered on its own sibling page for label-based log analytics. Either choice means running another cluster, with its own upgrades, retention settings and access controls. Confirm with your operations team that the chosen platform handles the query patterns they use today before you decommission Sumo Logic, and keep the security feed to Wazuh so each platform does one job well.
Questions buyers ask before choosing Wazuh over Sumo Logic
What does running Wazuh cost compared with Sumo Logic Cloud SIEM?
Wazuh has no license fee under GPLv2, so the cost is the infrastructure and the people who run it. With Sumo Logic, you pay a subscription that scales with usage. With Wazuh, the recurring costs are the compute and storage for the Wazuh indexer, server and dashboard, backups, and staff time for patching, rule tuning and agent management. The main cost drivers are the number of endpoints, daily alert and event volume, retention period, and whether you run a clustered high availability design. Ask any implementation partner for a quote built from your written scope, and separate one-time setup work from recurring operations.
Is Wazuh truly free under the GPLv2 license?
The Wazuh source code is distributed under the GNU General Public License version 2, with an exception that permits linking with the OpenSSL library. That license lets you use, modify and run the software without paying a license fee. It does not remove other costs. Hosting, storage, staff, support contracts and any Wazuh Cloud subscription are separate decisions. Have legal counsel review how your organization distributes or modifies the code, and confirm which Wazuh components you plan to use against the LICENSE file in the official repository.
How long does a migration from Sumo Logic to Wazuh take?
No timeline is supplied for this migration, so treat any duration as something to confirm in writing. The main drivers are the number of agents to replace, how many Sumo Logic collectors and detection rules must be rebuilt, how much compliance reporting you need on day one, and how much historical data you intend to keep. Sumo Logic's browser CSV export is limited to 100,000 rows per search, so bringing history across usually requires a separate plan. Ask for a fixed-scope plan with phases, deliverables and acceptance criteria before work starts.
Can our team run Wazuh without outside help?
Yes, many teams run Wazuh with internal staff, provided they have Linux administration, certificate and indexer skills, and someone who owns decoders and rules. Wazuh documents several installation paths, including an all-in-one install, a step-by-step install, Docker, Kubernetes, Ansible and Puppet. The harder part is ongoing work: upgrades, agent rollouts, rule tuning, capacity planning and incident response. Assess your staff against those tasks. A fixed-scope implementation with runbooks and knowledge transfer, followed by an optional support retainer, is one way to cover gaps.
How do offline installs and updates work for air-gapped Wazuh deployments?
Wazuh provides an offline installation guide for systems without internet connectivity. For vulnerability detection, you can use an offline vulnerability repository in place of the Wazuh Cyber Threat Intelligence platform, which means you must bring vulnerability data into the network yourself and refresh it on a schedule you define. Software updates follow the same pattern: you mirror packages and images into your environment, test them in a staging environment, then roll them out. Confirm the exact mirror process for your release line with the official offline guide and your change control team.
Do Wazuh compliance dashboards replace a PCI DSS, GDPR, HIPAA or NIST 800-53 audit?
No. The Wazuh dashboard includes prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53, which help you collect and review evidence, but a dashboard does not make a system compliant. Your organization must define scope, map controls to its own configuration, and keep evidence such as logs, configuration baselines and review records. Assessments are performed by independent auditors or certification bodies. DeployOpen prepares systems, controls and evidence for compliance assessments, but it does not issue audit reports, attestations or certifications.
What does Wazuh cover that Sumo Logic's general log analytics does not?
Wazuh is a security-focused XDR and SIEM platform with agents on Linux, Windows, macOS, Solaris, AIX and HP-UX, file integrity monitoring, vulnerability detection that correlates agent software inventories with vulnerability data, and compliance views. Sumo Logic is a broader log analytics platform. If you rely on general-purpose search, custom application dashboards or wide log exploration beyond security use cases, you may need a second tool such as OpenSearch alongside Wazuh. List your non-security log use cases before deciding, and test them against Wazuh's search and dashboard features.
What operational work does Wazuh add that a SaaS service would handle for us?
With a SaaS service, the vendor usually runs the platform's infrastructure. With Wazuh in your own environment, your team or a partner handles the server and indexer cluster, backups, certificates, upgrades, agent configuration, and capacity. Wazuh supports remote agent configuration and upgrades and can run its server as a cluster for horizontal scaling. Patch releases in the 4.14 line arrived roughly every one to two months in 2026, so plan a recurring upgrade cycle and maintenance window. Ask for documented procedures and a rollback plan as part of any migration deliverables.
What GPLv2 and the Wazuh Cloud option mean for your roadmap
Wazuh is distributed under the GNU General Public License version 2, and the license includes an exception that permits linking with the OpenSSL library. For an internal security team, the practical reading is that you can install, run and modify Wazuh inside your own environment without a license fee. GPLv2 obligations apply when you distribute modified binaries outside the organization, so legal review matters if you ship Wazuh components inside a product, offer monitoring to customers, or bundle agents into images you give to third parties. Ask your counsel to read the Wazuh LICENSE file against your intended use before you start the rollout, and record the decision in your architecture file.
The current release line is 4.14. Wazuh 4.14.9 was released on 14 October 2026 and 4.14.8 on 23 September 2026. Across the 4.14 line, 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 maintenance window for the indexer, server, dashboard and agents, and test each patch in a staging cluster because the four components must stay in step. Your own cost of ownership depends on how many upgrades you absorb with internal staff and how many you buy as support, so write that split into the operating model before you compare it with a Sumo Logic renewal.
Wazuh Cloud is the managed option for teams that want Wazuh without running the indexer, server and dashboard themselves. It changes who operates the platform and where the data sits, so it is a different decision from the self-hosted deployment described elsewhere on this page. Before you treat it as an alternative to Sumo Logic's SaaS model, confirm with Wazuh the current service terms, data location, retention, included support, ingestion pricing and exit options, and get them in writing. Terms can change, so do not rely on a summary from a third party, including this page.
How DeployOpen helps you evaluate and move to Wazuh
DeployOpen is a Chainscore Labs company that plans, implements, hardens, documents and supports self-hosted open-source platforms inside your own infrastructure. For Sumo Logic vs Wazuh, we start with a written scope that compares your current Sumo Logic use with what a self-run Wazuh deployment would cover, then carry out only the work you agree to.
How we scope
- Inventory which hosts, cloud accounts and devices send logs to Sumo Logic today and which need Wazuh agents or agentless syslog.
- Map your Sumo Logic Cloud SIEM rules and compliance views against Wazuh rules and dashboards, and list any gaps in writing.
- Agree in writing which general log analytics use cases stay outside Wazuh scope, such as broad application log search.
How we build
- Deploy the Wazuh indexer, server and dashboard in your own environment, choosing an all-in-one or multi-node layout.
- Roll out Wazuh agents to Linux, Windows and macOS endpoints and configure syslog collection for firewalls and other agentless sources.
- Configure vulnerability detection with either the Wazuh CTI platform or an offline repository, depending on your network rules.
How we hand over
- Document the architecture, agent configuration, rule changes and the compliance dashboards built for PCI DSS, GDPR, HIPAA or NIST 800-53.
- Deliver runbooks for upgrades, certificate handling and backup of the indexer, so your team can operate the platform.
- Walk your operators through alert triage and the export options for any history you decide to keep outside Sumo Logic.
How we support
- Engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts.
- Ongoing support, upgrades and continuous testing are available as a retainer, which can cover tracking Wazuh patch releases.
- Ask any quote to separate one-time implementation work from recurring retainer and infrastructure costs.
