What each tool does
GalScan concentrates on continuous internal discovery with ARP-aware techniques, IP and MAC correlation, hostname enrichment, and integrations such as Active Directory and firewall inventory—framed explicitly as a NAC alternative for fast wins. RunZero provides asset discovery spanning external attack surface and internal networks; buyers often use it for broader exposure management programs.
Pricing complexity
GalScan targets predictable economics for SMB and MSP buyers. RunZero pricing generally scales with asset counts and modules—request a formal quote for apples-to-apples comparisons with your asset volumes.
Deployment complexity
GalScan’s story centers on pragmatic deployment inside customer-controlled environments. RunZero pairs cloud orchestration with probes or connectors depending on architecture; validate network egress and data handling policies for regulated clients.
SMB suitability
SMB teams often need visibility before they can fund enforcement. GalScan’s workflow maps to that sequence. RunZero can serve SMBs when bundled with services, but feature breadth may exceed immediate needs—evaluate total cost of ownership.
MSP suitability
MSPs should compare onboarding checklists, per-tenant isolation, reporting for QBRs, and alert routing into PSAs. GalScan’s roadmap emphasizes MSP multi-site needs; RunZero may fit when asset discovery is standardized across your portfolio already.
Time to deploy
Pilot GalScan on a single VLAN to benchmark unknown device detection timelines. For RunZero, scope external vs internal discovery separately to avoid underestimating integration work.
Real-time alerts
GalScan highlights first-seen rogue patterns as a primary UX path. RunZero alerting depends on configured rules—ensure teams tune notifications to avoid channel fatigue.
Integration support
GalScan focuses depth on directory and firewall context first. RunZero offers extensive API access for custom pipelines. Choose based on whether your priority is immediate LAN clarity or platform orchestration across many data sources.