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Liongard vs Auvik for MSPs: Asset Truth, Network Maps, and the Assessment Bill

Scopable Team11 min read
Liongard vs Auvik for MSPs: Asset Truth, Network Maps, and the Assessment Bill

Quick answer: choose Auvik when the main job is discovering, mapping, and operating client networks. Choose Liongard when the main job is maintaining cross-stack asset and configuration evidence across cloud, identity, endpoint, network, and SaaS systems. Some MSPs need both. The buying decision should follow the service you intend to deliver and the labor you intend to charge for.

That distinction matters because Liongard and Auvik overlap just enough to produce a bad comparison.

Both products discover technology, maintain inventory, track change, and help technicians troubleshoot. But they organize the work around different questions. Auvik starts with the network: what is connected, how does traffic move, what changed on the device, and where is the fault? Liongard starts with the managed environment: what assets and identities exist, how are they configured, what drifted, and what evidence should the MSP act on?

If you compare only feature names, you can convince yourself that either product replaces the other. If you compare the work your team must perform, the choice gets clearer.

Liongard vs Auvik at a glance

Decision areaLiongardAuvikBetter default fit
Primary operating modelCross-stack asset and configuration intelligenceNetwork discovery, mapping, monitoring, and managementDepends on the service line
Strongest evidenceAssets, identities, configurations, detections, and historical changeTopology, device health, interfaces, traffic, alerts, and network configurationLiongard for cross-stack assessments; Auvik for network operations
Network mapsNetwork visibility is part of a broader environment recordInteractive Layer 1, 2, and 3 topology is centralAuvik
Configuration historyTracks configuration drift across many system typesBacks up and compares supported network-device configurationsLiongard for breadth; Auvik for network-device workflow
Cloud and identity contextStrong focus across systems such as Microsoft 365, identity, SaaS, endpoint, and networkNetwork-first, with broader server and endpoint products availableLiongard
Traffic analysisNot the main jobNetFlow and interface-level traffic visibility are core capabilitiesAuvik
Client planningUseful for assessments, documentation, lifecycle work, and QBR evidenceUseful for network remediation, capacity, refresh, and outage analysisBoth, with different inputs
Main implementation riskCollecting data without assigning ownership for review and remediationBuilding a map and alert stream without pricing cleanup and ongoing network operationsBoth

The shortest useful rule is this: Auvik explains the network. Liongard explains the managed environment.

That rule is not absolute. Auvik inventories devices and stores configurations. Liongard sees network equipment and change history. The difference is the center of gravity, not a hard product boundary.

Where Auvik is stronger

Auvik is stronger when the network itself is the service problem.

Its current network-management documentation says a collector discovers IP-connected devices, builds Layer 1 through Layer 3 topology, monitors interfaces and traffic, maintains device dashboards, and starts with more than 64 preconfigured alerts. Auvik also backs up supported device configurations and shows changes side by side. Auvik Network Management

That combination is valuable when an MSP inherits a client with no reliable map. A topology view can show routers, switches, firewalls, uplinks, interfaces, and site relationships without asking a technician to reconstruct the network from old diagrams and cable labels. Auvik says its discovery uses protocols such as SNMP, WMI, and ICMP, then uses network data such as CDP, LLDP, and forwarding tables to build the map. Auvik Network Device Discovery

For an MSP, that supports four kinds of paid work:

  1. Onboarding discovery. Establish what exists before accepting responsibility for it.
  2. Outage response. Locate the affected path and check device, interface, traffic, and configuration context.
  3. Network refresh planning. Find unsupported equipment, overloaded links, weak site design, and replacement dependencies.
  4. Ongoing network operations. Route alerts, review configuration changes, and maintain a trustworthy topology.

The practical benefit is not a pretty diagram. It is fewer blind troubleshooting steps and fewer avoidable site visits.

Auvik is also the clearer choice when traffic is part of the question. Its product pages describe flow visibility, interface behavior, bandwidth spikes, syslog, and device-level performance. If the client asks why an application is slow across a branch network, those signals are closer to the problem than a cross-stack asset record.

Where Liongard is stronger

Liongard is stronger when the MSP needs evidence across more than the network.

Liongard describes its platform as continuous asset intelligence across cloud, endpoint, identity, network, and SaaS environments. Its asset-discovery guidance includes devices, users, privileged accounts, service accounts, software, infrastructure, lifecycle fields, managed status, tags, ownership, and location. Liongard Continuous Asset Discovery and Inventory

That breadth changes the assessment question. Instead of asking only what is connected, the MSP can ask:

  • Which privileged identities appeared or changed?
  • Which assets are unmanaged, stale, duplicated, or nearing retirement?
  • Which configurations drifted between inspections?
  • Which domains or certificates are approaching expiration?
  • Which client systems disagree about users, devices, or licensing?
  • What evidence should appear in the next security review or QBR?

Liongard's change-detection documentation says it compares metric results over time and records before-and-after values on a system timeline. Those detections can also feed alerts and operational workflows. Liongard Configuration Change Detection

This is where Liongard separates itself from a network-first tool. A firewall configuration change matters, but so does a new privileged account, an MFA change, a license assignment, a DNS change, a certificate date, or a cloud configuration drift. Liongard's official FAQ describes the distinction directly: Auvik emphasizes network discovery and visualization, while Liongard emphasizes deeper configuration detail gathered through APIs and SSH across the wider managed stack. Liongard FAQ

For vCIO, security, compliance, and documentation-heavy teams, that creates better raw material for a recurring client review.

Where the products overlap

The overlap is real, and it should affect the evaluation.

Auvik inventories network devices, monitors health, stores configuration history, exposes APIs, and integrates with PSA and documentation tools. Liongard discovers devices, identities, and systems, tracks changes, raises detections, and supports operational response.

The mistake is treating overlap as equivalence.

Ask the vendor to prove the workflow against one messy client, not a clean demonstration tenant. Use the same evaluation script for both products:

  1. Discover a client environment with known documentation debt.
  2. Identify five records your team currently cannot trust.
  3. Show how the product proves the current state and the prior state.
  4. Assign an owner and next action for each finding.
  5. Export or integrate the evidence into the PSA, documentation system, QBR, or project workflow.
  6. Measure the technician time required to clean up the result.

The last step is the one demos usually skip. Automated discovery still produces review work. Credentials fail. Device classification needs correction. Duplicate or stale records need a policy. Alerts need thresholds. Client mappings need ownership.

The assessment bill

The software subscription is only one part of the cost.

An MSP can buy excellent visibility and still lose money if nobody prices the labor that turns visibility into a service. The real bill includes deployment, credential collection, discovery cleanup, mapping, alert policy, documentation updates, recurring review, and client-facing recommendations.

For Auvik, that work often includes:

  • collector placement and site coverage
  • SNMP, CLI, API, and flow credentials
  • topology validation and missing-device cleanup
  • alert routing and noise reduction
  • supported configuration-backup checks
  • network ownership and escalation rules

For Liongard, it often includes:

  • inspector deployment and credential coverage
  • environment and customer mapping
  • asset normalization and lifecycle policy
  • metric, detection, and alert review
  • documentation integration and stale-record handling
  • recurring assessment and evidence ownership

Neither list is free managed-services overhead by default. Put the initial cleanup in the onboarding or assessment scope. Put recurring review in the service description. Put remediation in a roadmap or project quote.

If a finding has no owner, date, client impact, and disposition, it is not yet useful evidence. It is another row in another console.

Decision matrix by MSP operating model

MSP profileBetter starting pointWhyMain warning
Network-first MSPAuvikTopology, traffic, device health, and config workflow match the daily serviceDo not give away discovery cleanup or after-hours remediation
vCIO-heavy MSPLiongardCross-stack asset, lifecycle, and change evidence supports recurring planningDecide who converts findings into roadmap items
Security-heavy MSPLiongard, then validate Auvik needIdentity, configuration drift, and multi-system evidence provide broader assessment inputAsset intelligence does not replace a security control or response owner
Documentation-debt-heavy MSPLiongardAutomated collection and documentation integrations address stale records across systemsAutomation can preserve bad mappings unless someone reviews them
Multi-site network specialistAuvikLive topology and site-level network context are closer to the core problemDefine the boundary between monitoring and engineering projects
Mature MSP with both service linesBoth may be justifiedEach product can own a different evidence domainPrevent duplicate tickets, conflicting records, and double billing
Small MSP with simple client networksPilot before buying eitherThe operational cost may exceed the value if nobody owns the workflowDo not buy enterprise visibility to avoid fixing basic process discipline

The mature answer is sometimes both. Auvik can own network truth while Liongard maintains cross-stack asset and configuration intelligence. Auvik even lists Liongard among its integrations, which is a useful signal that the products can be complementary rather than mutually exclusive. Auvik integrations list

If you run both, write down which system is authoritative for each record and event. Decide where network inventory lives, where cross-stack evidence lives, which product opens tickets, and which data appears in the client review. Without that contract, overlapping tools create duplicate noise.

Turn findings into QBR and project work

The value appears when the evidence changes a client decision.

Start with a small conversion rule:

FindingClient-facing questionCommercial outcome
Unsupported switch or firewallWhat fails if this device cannot be replaced quickly?Refresh project and lifecycle budget
Repeated interface saturationWhich business service is constrained, and when?Capacity or network redesign scope
Privileged identity driftWho approved this access, and is it still required?Identity cleanup or security project
Expiring warranty, domain, or certificateWho owns renewal and outage prevention?Renewal task, managed add-on, or remediation quote
Configuration change outside policyWas the change authorized, tested, and documented?Incident review or control improvement
Unmanaged or duplicate assetIs the device in support scope and billing?Contract correction, onboarding cleanup, or removal

Put those questions into the MSP QBR template. Use the shared responsibility matrix to name the MSP and client owners. If documentation is the constraint, compare the operating model in Hudu vs IT Glue.

The QBR should not become a screen-share through either product. Summarize what changed, why it matters, what decision is needed, and what happens if the client does nothing.

Then convert approved work into a scope with assumptions and exclusions. A network map can expose a refresh dependency. A Liongard detection can expose a configuration or identity gap. Neither one writes the project plan for you.

How Scopable fits

Scopable does not replace Liongard or Auvik.

It gives the MSP a place to turn mapped client evidence into assessment context, roadmap decisions, quote scope, and review material. Scopable's Liongard integration uses read-only credentials and explicit environment-to-client mappings, then syncs systems, inventory, metrics, detections, and timeline context onto the client record. Co-Work can use that synced context when the connection is active and a client mapping exists. See the Liongard setup guide for the exact workflow.

That boundary matters. Liongard collects and explains evidence. Auvik discovers and operates the network. Scopable helps turn the resulting decision into client-facing work.

If your team already has the evidence but still rebuilds the assessment, QBR, and quote by hand, start a Scopable trial and test the full path with one client.

Final verdict

Choose Auvik when network topology, traffic, device health, and site operations are the main job. Choose Liongard when cross-stack asset truth, identity and configuration drift, documentation, and assessment evidence are the main job.

Choose both only when you can name separate owners and outputs for each system.

Before signing either contract, run a paid-work test. Can your team turn a discovered fact into an assigned action, a client decision, and a scoped project without donating the cleanup? If not, the immediate problem is not product coverage. It is service ownership.

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Buyer path

Where this fits in Scopable

This article feeds the assessment and scoping cluster: collect findings, choose recommendations, and turn the real work into scope.