Migrate from LogRhythm to Wazuh: what the move involves
A LogRhythm to Wazuh migration is a rebuild of collection, detection and reporting, not a copy of the data. Teams usually start this work after a renewal, a licensing change, a residency requirement or lock-in pressure, and it is typically run by a platform or security engineering team with an implementation partner who can carry the parts that need dedicated time. The old platform keeps running in parallel while the new one takes over, so the project is planned as a cutover of sources, rules and reports, with the history kept in a form auditors can still read.
Wazuh is licensed under the GNU General Public License version 2, so the software itself carries no license fee, but the cost sits in servers, storage and staff time. It is built from four components: the Wazuh indexer stores alerts, the Wazuh server applies decoders and rules to agent data, the Wazuh dashboard provides the web interface, and Wazuh agents run on the endpoints. Each LogRhythm component maps to one or more of these pieces, but the mapping is not one to one. System Monitor agents are replaced by Wazuh agents, and syslog sources from firewalls and other devices are handled by the Wazuh server's syslog collection and, where a device has no agent, periodic API probing. Confirm the device list and log volumes per source with your own environment before sizing the indexer.
The hardest part is the detection content. AI Engine rules and their correlation logic must be re-expressed as Wazuh rules, or as Sigma rules that are then converted for the Wazuh stack, and each rule needs a test against replayed or sample events before it replaces the original. Reports are rebuilt the same way: the dashboard includes prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53, but each control evidence set must be checked against what your assessor expects. Ask your compliance lead to list every LogRhythm report and alert that feeds an audit, and export the history those audits rely on before the appliances are switched off.
Which LogRhythm capabilities map cleanly to Wazuh and which need rework
This table maps the LogRhythm capabilities most teams depend on to their closest Wazuh equivalents and marks each as clean, needs rework or gap. Read the status column as a planning signal: clean means a comparable mechanism exists, while rework and gap mean design, translation or export work before cutover. Confirm rule and report coverage against your own sources before retiring anything.
| Capability | Wazuh equivalent | Status |
|---|---|---|
| System Monitor agents on Windows and Linux hosts | Wazuh agents for Linux, Windows and macOS, enrolled and upgraded from the Wazuh server | Clean |
| Syslog collection from network devices | Agentless syslog collection on the Wazuh server with decoders for each device family | Needs rework |
| AI Engine correlation and detection rules | Wazuh rules and decoders, with Sigma-style rules translated where a converter fits the source format | Needs rework |
| Rules tuned to your own log sources | Custom decoders and rules written against your event formats, then tested on replayed logs | Needs rework |
| Compliance reports for PCI DSS, HIPAA and NIST | Prebuilt dashboard compliance views for PCI DSS, GDPR, HIPAA and NIST 800-53, which must be checked against your report templates | Needs rework |
| Case management and analyst workflow | Alert triage in the Wazuh dashboard, with case handling usually supplied by a separate ticketing or SOAR tool | Gap |
| Retention of raw logs and alerts for audit | Wazuh indexer retention policies sized to your storage, with archival of older data handled by your own process | Needs rework |
| Export of historical events for auditors | Indexer queries and exports, which need a documented procedure and an evidence format agreed with your assessor | Needs rework |
What history and integrations you can export and rebuild
A LogRhythm move is only as clean as what you carry across: retained events, case records, user identities and the ticketing and notification paths that analysts rely on. Each card below covers one of these, with the checks to run before you decommission anything.
Retained history and raw archives
Auditors often ask for raw events from the retention window, not just alerts. Confirm with LogRhythm which export formats and bulk methods apply to your deployment, and whether raw archives on the appliance or in its storage tier can be read outside the product. Document the time range, log source list and hash or chain-of-custody record for each export. Wazuh does not import LogRhythm's internal database, so plan for a parallel archive and a defined read-only retention period.
Open cases and investigation records
Open cases, analyst notes and disposition history usually live in LogRhythm's case management and do not map one to one onto Wazuh alerts. Before cutover, decide which open cases close in LogRhythm, which are reopened as tickets in your service desk and which are kept as exported records. Confirm with LogRhythm whether case data can be exported in a machine-readable form and what fields it includes. Keep the export with the evidence it refers to.
Analyst identities and single sign-on
Map every LogRhythm user, role and group to a Wazuh user and role before go-live, and remove standing local accounts that have no owner. Wazuh documents single sign-on for the dashboard, so check the current configuration guide for the identity provider types and claim mapping your directory needs. Test each role's access to alerts, agents and administrative functions, and record who approved each mapping for your access review.
Ticketing and notification paths
Analysts rely on alerts that open tickets and send email, chat or paging messages. Inventory every LogRhythm action that creates an external notification and rebuild each one as a Wazuh integration or a script that calls your ticketing API, then test with synthetic alerts. Confirm that duplicate suppression, severity thresholds and on-call routing match the old behavior. Name an owner for each path so a broken webhook does not go unnoticed.
Log sources and syslog forwarders
Each device or application that sends logs to LogRhythm needs a documented destination in Wazuh. Agents cover endpoints, while agentless devices such as firewalls can send syslog to the Wazuh server or be polled through its API. Build a source register that lists each source, its transport, its parser and the decoder or rule set that handles it, and confirm that every source emits events in the new path before you stop the old one.
Compliance evidence and report continuity
Auditors will compare pre- and post-migration reports, so keep the old report definitions, sample outputs and the mapping from each control to its Wazuh dashboard view. The Wazuh dashboard includes prebuilt views for several frameworks, but a view is not an assessment. Ask your auditor which evidence they accept for the transition period, and keep both systems readable until that period closes.
How the cutover sequence runs from inventory to decommission
The sequence moves LogRhythm's log sources, detection content and reports to Wazuh in controlled stages, so each source is proven on the new platform before the old one stops receiving its events. Retention obligations set the point at which the appliances can finally be retired.
Inventory sources, rules and reports
Export a complete list of log sources, System Monitor agent deployments, syslog senders, AI Engine rules, alarms, saved reports and retention settings from LogRhythm. The security engineering lead and the compliance owner sign off on which items are in scope, and each item is tagged with an owner and a target Wazuh method, such as agent, syslog collection or agentless API probing. The output is a signed inventory that becomes the migration backlog.
Pilot on a subset of endpoints
Deploy Wazuh agents to a small, representative group of endpoints and a few syslog-based sources, and build the matching decoders and rules for them. Test that events are parsed, that alerts fire for the scenarios the team cares about, and that dashboards show the expected fields. The output is a pilot report listing each source, its parsing status and any gaps that need custom decoders before wider rollout.
Run both platforms in parallel
Send the same events to LogRhythm and Wazuh for a defined window agreed in the migration plan, and compare alert volumes, detection hits and report outputs for each rule. Discrepancies are traced to either a decoder gap, a rule logic difference or a source that was never mapped. The output is a parity log that records every rule with its match result and the reason for any difference.
Validate and cut over each source
Move sources one at a time, starting with lower-risk groups, and stop sending each one to LogRhythm only after its parity checks pass and the security operations team accepts the alert quality. Keep the LogRhythm configuration for that source in place so it can be restored quickly if a problem appears. The output is a per-source cutover record with the date, the approver and the validation evidence.
Rebuild compliance reports in Wazuh
Map each required control from the migrated report inventory to the Wazuh compliance dashboards and to any custom reports, then produce sample outputs and have the compliance lead review them against the original LogRhythm reports. Confirm with the relevant assessor which evidence they expect, since DeployOpen prepares evidence but does not issue assessments. The output is a report catalog that shows each control, its data source and the Wazuh view that supplies it.
Export history for auditors and retention
Export the LogRhythm data that must remain available, together with the reports and configuration snapshots, into a read-only archive held on the organization's own storage. Verify that a sample of exported records can be opened and searched, and record where the archive is kept and who can access it. The output is a retention archive with an index and a verification record that the audit owner accepts.
Decommission appliances after retention is met
Once the retention obligations that apply to the organization are satisfied and the archive is accepted, stop collection on the LogRhythm components, remove its agents, and plan the disposal of the appliances and their storage according to the organization's media handling policy. Confirm the retention period with legal and compliance before the final shutdown, since no retention duration is set by this sequence. The output is a decommissioning record that confirms data disposition and closes the migration.
How Wazuh components take over from LogRhythm roles
LogRhythm bundles collection, processing, storage and the analyst console into a small number of roles, and Wazuh splits the same work across four components. The Wazuh agent on each endpoint replaces the System Monitor agent for host telemetry, file integrity monitoring and inventory collection. Agentless sources such as firewalls and network devices keep sending syslog, which the Wazuh server receives and processes with decoders and rules, in the same way LogRhythm's processing engine parsed and normalized messages. The Wazuh indexer takes over the storage role, holding alerts and archived events for searching, and the Wazuh dashboard replaces the console your analysts and auditors use. Map each LogRhythm role to its Wazuh counterpart in a written table before building anything, and note where a LogRhythm function such as a specific deployment module has no direct equivalent that you must confirm in the Wazuh documentation.
The Wazuh server can run as a cluster for horizontal scaling and manages agent configuration and upgrades remotely, so the planning question is how many server nodes and indexer nodes your event volume requires. Measure your current sustained events per second and retention period from LogRhythm's own reporting, then size the cluster from that number rather than from defaults. Ask the Wazuh team or a partner to confirm the cluster topology for your ingestion rate, and plan the indexer storage around the retention your auditors require, not around the storage you happen to have free today.
Wazuh documents several deployment options, and each one is a decision for your environment rather than a default. The prebuilt OVA suits a quick evaluation or a single virtual machine, Docker and Kubernetes suit teams that already operate container platforms, and Ansible or Puppet suit repeatable builds across environments. Air-gapped or restricted networks need the offline installation guide, which also requires an offline vulnerability repository in place of the Wazuh Cyber Threat Intelligence platform. Pick the option that matches your change control and rebuild process, record that choice in your architecture decision record, and confirm with your security team which network zones the server, indexer and dashboard may occupy.
What drives migration cost and duration
This table lists the factors that most change the effort of moving from LogRhythm to Wazuh, with why each matters and how to reduce it. Use it to build the scope you send to implementation partners and to check that each written quote covers the same work.
| Driver | Why it changes cost or effort | How to keep it down |
|---|---|---|
| Endpoints and log sources | Each System Monitor agent replacement and each syslog or API source needs a Wazuh agent or collector, decoders and testing. Counts across sites drive rollout time. | Export a current inventory from LogRhythm, group sources by type, and roll out in waves by site or business unit. |
| AI Engine rules to translate | Each rule must be mapped to a Wazuh rule, a Sigma rule or a retired use case, then tested against replayed events. Correlation logic costs more than simple matches. | Retire rules nobody triggers, consolidate duplicates, and prioritize rules tied to audited controls. |
| Compliance reports to rebuild | Each report needs its data sources, fields, schedule and recipients re-created in the Wazuh dashboard and checked against the prior output. | List every report your assessor receives and confirm which Wazuh dashboard views already cover the control. |
| Retention and history requirements | Historical data may need to be exported, indexed or kept in read-only archives. Longer retention increases storage sizing and export effort. | Ask your assessor and legal team which periods must stay searchable and which can be archived in a documented format. |
| Air-gapped or offline constraints | Offline installation, an offline vulnerability repository and internally hosted packages add steps and change how updates are delivered. | Confirm early which networks have no internet access and plan the offline repository and update process before build. |
| Staff skills and ownership | Wazuh rule writing, decoder work, indexer tuning and agent management need trained people. Gaps are usually filled by a partner, which adds cost. | Name internal owners, schedule pairing during the build, and document rule logic so knowledge stays in the team. |
| Dual running and cutover window | Running LogRhythm and Wazuh in parallel keeps both licenses and hardware active for longer, and detection gaps must be checked. | Agree a cutover date per source group and a fixed comparison period in the written scope. |
| Appliance decommissioning | Retiring LogRhythm components involves data handover, media disposal and removal of licenses and support contracts. | Ask the vendor which contract terms and data export rights apply, and include disposal evidence in the plan. |
What usually goes wrong when moving off LogRhythm
Most LogRhythm exits fail in the same few places: data that stops arriving without anyone noticing, detections that behave differently, and evidence that cannot be shown to an auditor. Each card below names one of these failure points and the check that prevents it before a LogRhythm appliance is switched off.
Silent gaps in syslog parsing
Firewalls, load balancers and legacy applications often send syslog in formats that a LogRhythm common event parser handled quietly, and Wazuh decoders may not extract the same fields. The result is events that arrive but carry no usable user, IP or action fields, so rules never match. Before cutover, replay a sample of each log source through Wazuh's analysis and compare the extracted fields against LogRhythm for the same events. Confirm the decoder path for every source class, not only the sources you remember.
Rules that fire differently
AI Engine rules are built on LogRhythm's own logic, field names and risk scoring, so a direct rewrite into Wazuh rules or Sigma rules often changes thresholds, time windows and grouping. A rule that fired once per hour may fire on every event, or stop firing entirely. Run the old and new rules side by side against the same historical data for a defined period, record every alert difference, and sign off each difference with the detection owner.
Reports rebuilt without original logic
Compliance reports that exist only as LogRhythm report outputs lose their underlying query logic when they are recreated from screenshots or summaries. Auditors then ask how a figure was calculated, and the team cannot show the filter, time range or data source behind it. Export each report definition, record its inputs and filters in a version-controlled document, and rebuild it in the Wazuh dashboard with the same logic. Keep the old output as the reference for comparison.
Incomplete history exports
Retention obligations often require that archived events remain searchable in a readable form for the full period, but a LogRhythm export may return only a subset of fields, truncated results or proprietary formats. Ask which exports will cover the retention period, test a full restore of one historical month, and check that timestamps, source identifiers and hashes survive the conversion. Store the export with its checksums and the procedure used to produce it.
Undocumented integrations
Ticketing hooks, SOAR playbooks, scheduled scripts and log forwarders that feed LogRhythm are rarely listed in an architecture diagram, and they stop working silently when the appliance goes away. Inventory every inbound and outbound connection on the LogRhythm servers, including service accounts and firewall rules, and assign each one a replacement or a documented retirement decision. Test each replacement with a real alert before retiring the original path.
Appliances retired before retention is met
Decommissioning hardware or disabling a LogRhythm deployment before the retention period is met can leave the organization unable to answer an audit request or incident inquiry. Set the retirement date from the longest retention requirement that applies to each data set, not from the cutover date. Keep the archive readable, documented and access-controlled until that date has passed, and confirm the retention rule with your compliance lead and any regulator involved.
How the migration differs by environment and starting point
An on-premises estate under regulatory scrutiny usually has the longest list of obligations to carry across. Auditors will expect the LogRhythm history, the alert records and the evidence that monitoring ran continuously through cutover, so the plan should start with what must be retained and in what form. Wazuh's dashboard includes prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53, which shortens the rebuild of reports, but each report still needs to be mapped to the controls your assessor reviews.
- Parallel running: Keep LogRhythm collecting from the same sources until Wazuh alerts have been reviewed against the existing report set.
- Evidence first: Export and hash the historical data and the rule and configuration history before any appliance is switched off.
- Control mapping: Map each compliance view to the control IDs your assessor uses and document any gap that the prebuilt views do not cover.
- Change control: Route agent rollout and rule changes through your existing change process so each change has a record.
- Assessor engagement: Confirm early with your assessor which historical formats and time spans they will accept.
Before starting, confirm with your assessor and your legal team how long LogRhythm data must remain accessible and in what format.
A network without internet access changes both the installation and the threat intelligence path. Wazuh documents an offline installation guide for systems without connectivity, and vulnerability detection can use an offline vulnerability repository in place of the Wazuh Cyber Threat Intelligence platform. The build therefore has to move packages, indexes and vulnerability data across the boundary by an approved route before the first agent is enrolled, and the update cycle becomes a scheduled transfer rather than an automatic pull.
- Offline installation: Follow the offline installation guide and stage every package and dependency inside the enclave.
- Offline vulnerability data: Use the offline vulnerability repository and set a recurring import process with a named owner.
- Transfer procedure: Define how updates cross the boundary, who approves each transfer and how integrity is verified.
- Agent coverage: Test agents on each isolated operating system family before cutover, since update paths are slower to fix.
- Patch cadence: Plan for upgrades as periodic transfers, and confirm the release sequence with Wazuh's release notes.
Confirm with your security authority whether the enclave can host the indexer and server, and whether the offline repository process meets your accreditation requirements.
An estate spread across many sites, branches or data centers changes the collection design more than the rules. Wazuh agents run on Linux, Windows, macOS, Solaris, AIX and HP-UX, and devices that cannot host an agent, such as firewalls, can send syslog or be probed through their API. The Wazuh server can run as a cluster for horizontal scaling, which lets you place collection close to each site while keeping one analysis tier, but the network path and time synchronization between sites decide whether events are correlated correctly.
- Collection placement: Decide which sites need local collection points and which can forward directly to the central tier.
- Agentless devices: Inventory the syslog sources and API-probed devices at each site, since these replace LogRhythm collectors one by one.
- Cluster design: Size the server cluster for the total event rate, not the largest site, and test failover between nodes.
- Time synchronization: Verify clock accuracy on every source, because cross-site correlation depends on consistent timestamps.
- Staged rollout: Move one site or region at a time and retire its LogRhythm collector only after its alerts are confirmed.
Ask your implementation partner and internal network team to confirm the bandwidth and latency between sites before deciding the topology.
A team with little detection engineering capacity faces the biggest gap in the translation work. LogRhythm's AI Engine rules encode years of tuning, and rebuilding them in Wazuh rules or in Sigma format is skilled work. Wazuh ships with a rule set and compliance mappings that give a starting baseline, so the migration can begin from defaults and add custom detections in priority order rather than translating every legacy rule at once.
- Rule inventory: List the LogRhythm rules that are actually firing and that matter for your risk register, and retire the rest.
- Baseline first: Enable the default Wazuh rules and compliance views, then add custom rules for the highest-value gaps.
- Sigma where useful: Use Sigma for portable detections you want to keep in a shared format, and confirm conversion coverage for each rule.
- Tuning time: Budget staff time for false-positive reduction in the first operating period, since default rules are generic.
- Outside help: Consider a fixed-scope engagement for the rule translation, with the written scope listing the rules covered.
Before committing, ask who on your team will own detections after go-live and how many hours per week that owner can give to tuning.
Questions buyers ask before moving from LogRhythm to Wazuh
What does a move from LogRhythm to Wazuh cost, and what drives that cost?
The software itself carries no license fee, so the cost is the infrastructure, the people and any outside help. Wazuh is licensed under the GNU General Public License version 2, so the platform has no per-seat or per-ingestion charge. The main cost lines are servers or cloud instances for the indexer, server and dashboard, storage sized to your retention period, agent rollout effort, rule and report rebuilding, and parallel running while both systems operate. Costs rise with event volume, retention length, the number of endpoints and how many log sources need custom decoders. Ask any implementation partner for a quote built from a written scope that lists each of these components separately, including what is one-time and what recurs.
How long does a LogRhythm to Wazuh migration take?
The duration depends on how many log sources, detection rules and compliance reports you run, and on how much history you must keep. No timeline figure is supplied for this migration, so treat any number you hear as a claim to verify. A practical plan usually runs in phases: inventory sources and rules, stand up a Wazuh test cluster, move agents and syslog feeds in waves, translate rules, rebuild reports, run both SIEMs in parallel for a validation period, then decommission. Ask for a phase plan with dependencies and acceptance criteria before you agree on a date.
What does our team need to provide during the migration?
Your team must supply knowledge that only your organization holds. That includes an inventory of log sources and their owners, the list of LogRhythm System Monitor agents and syslog senders, the AI Engine rules that matter for detection, the compliance frameworks auditors use, and the retention periods that apply to each data type. Security engineers need to review translated rules, and compliance staff need to confirm that the rebuilt reports match what assessors expect. Operations staff must own the Linux hosts, network access, certificates and change windows. Agree on these responsibilities in writing so that gaps show up before cutover.
Can our own staff do the migration without an outside partner?
Yes, if your team has Linux, SIEM and detection engineering skills and enough time to run a parallel period. Wazuh is free to download and documents several deployment paths, including all-in-one installation, a prebuilt OVA, Docker, Kubernetes, Ansible and Puppet, so an internal team can start with a test environment. The risks are usually in the less visible work: rule translation with no regression testing, missing log sources, and reports that look correct but do not map to the control evidence an assessor asks for. A partner can take on any part of that work under a fixed scope. Decide per workstream which tasks your team keeps.
Is Wazuh free to license for commercial use?
Wazuh is free to license under the GNU General Public License version 2, with an exception that permits linking with the OpenSSL library. That license covers the software, but it does not cover the costs of running it. Your legal or procurement team should read the license file and confirm how the terms apply to your planned use, including any modifications you make and how you distribute them internally. If you want paid vendor support, Wazuh offers commercial options separately, and those carry their own terms that you should review. Ask any outside party to state in writing which parts of their work are licensed and which are billed.
Will our LogRhythm compliance reports carry over to Wazuh?
They will not carry over automatically, because the report formats, correlations and evidence trails differ between products. Wazuh's dashboard includes prebuilt views for PCI DSS, GDPR, HIPAA and NIST 800-53, which gives you a starting point. However, each report must be checked against the control requirements your auditor uses, and any gap must be closed with a rule, a dashboard or a documented manual procedure. DeployOpen prepares systems, controls and evidence for compliance assessments, but it does not issue audit reports or certifications, and independent auditors make that determination. Ask your assessor to review the rebuilt reports before cutover.
How do we export the historical log data auditors need?
Export history before decommissioning anything, and agree with your auditor on the format and time range first. LogRhythm retention settings, archive formats and export tooling vary by deployment, so confirm those details in your own environment with your vendor or administrator. Store exports in write-once or access-controlled storage, record hashes and chain of custody, and keep a searchable index so the evidence can be retrieved during an assessment. Many organizations keep the old appliance or an archive copy in read-only mode for the retention period their auditors require. Ask your implementation partner for a written export runbook that covers verification steps.
What happens to our old LogRhythm appliances at the end?
Decommissioning should start only after parallel running confirms that Wazuh receives every required source and that the reports meet your auditor's needs. Before shutting down an appliance, confirm the archive exports are verified, the retention obligations are documented, and no active detections or open investigations depend on it. Then remove collection paths in a controlled order, revoke agent keys and certificates, and update asset and backup records. Ask for a decommissioning checklist with sign-off steps from security, compliance and operations.
Official Wazuh sources for the migration
Before you commit to Wazuh, read the license and the release notes directly from the project. The Wazuh LICENSE file states the GNU General Public License version 2 with an exception for linking with OpenSSL. Have your legal or procurement team confirm that this license fits how you plan to distribute or modify the agents and server across your estate, because the license governs what you can change internally without a commercial agreement. The Wazuh release notes matter for a different reason: the current line is 4.14, and patch releases have arrived roughly every one to two months. Build a patch calendar, a staging environment and a rollback plan around that cadence, and record which release your production cluster runs so auditors can trace every change.
The Wazuh components page defines the indexer, server, dashboard and agents that your migration design must size separately, since each has different storage, CPU and network needs. Use it to map LogRhythm roles to Wazuh roles before you buy or provision hardware. The deployment options page lists the installation paths, including the offline guide, Ansible, Puppet, Docker and Kubernetes. Choose the path that matches your change management tooling and any air-gapped requirement, and confirm the supported operating systems for your agent fleet against the agent documentation before you schedule rollout waves. The vulnerability detection page explains that Wazuh matches agent software inventories against vulnerability data from the Cyber Threat Intelligence platform or an offline repository. If LogRhythm customers in your environment rely on it for vulnerability context, decide early whether your network can reach the CTI platform or whether you need to maintain an offline feed. Finally, the single sign-on page is where you confirm how analysts will authenticate to the dashboard. Map your existing LogRhythm user groups to Wazuh roles and test that access rules hold before analysts depend on the new console.
How DeployOpen scopes and runs the LogRhythm to Wazuh migration
DeployOpen plans, implements, integrates, hardens, documents and supports self-hosted open-source platforms inside your own infrastructure, so a Wazuh deployment that replaces LogRhythm runs in your cloud accounts, data centers or air-gapped network. Engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts.
How we scope
- Inventory every LogRhythm System Monitor agent, syslog source and AI Engine rule that the written scope must replace
- Confirm which compliance reports auditors rely on and which Wazuh dashboards will rebuild them
- Agree in writing how historical LogRhythm data will be exported, retained and where it will be stored
How we build
- Deploy the Wazuh indexer, server and dashboard in your environment, using the installation method your infrastructure requires
- Translate in-scope detection logic into Wazuh rules or Sigma rules, and test each rule against replayed sample events
- Configure agents, syslog collection and file integrity monitoring, then validate alert flow against the agreed scope
How we hand over
- Document architecture, rule mappings, dashboard definitions and the evidence each control produces for your assessors
- Run a parallel period with the agreed scope so your team can compare Wazuh alerts with LogRhythm output before cutover
- Plan decommissioning of LogRhythm appliances only after the agreed history export and handover checks are complete
How we support
- Ongoing support, upgrades and continuous testing are available as retainers after handover
- Plan upgrades across Wazuh patch releases so your team can review changes before they reach production
- Ask us to confirm the support terms, response expectations and retainer scope in the written quote

