Challenge
Where work slows down
Security products need sub-second search over high-volume, tenant-aware event data. As customers grow, search clusters become expensive, operationally fragile, and hard to retain data in.
Workload
Mach5 helps cybersecurity companies serve fast event search, timelines, filters, and investigation views without spending years tuning search clusters.
How it works
Challenge
Security products need sub-second search over high-volume, tenant-aware event data. As customers grow, search clusters become expensive, operationally fragile, and hard to retain data in.
Gap
Elasticsearch and OpenSearch are useful starting points, but cost, shard management, retention, multi-tenancy, and query isolation become product and margin problems at scale.
Mach5
Mach5 provides a low-latency search and analytics layer built for security product workloads, so teams can serve product search without owning every cluster, index, and tuning loop.
Outcomes
Latency
Serve customer-facing search, filters, timelines, and dashboards with infrastructure built for security data.
Operations
Reduce time spent on shard tuning, index lifecycle management, and capacity firefighting.
Economics
Support high-volume event search and longer retention without forcing everything through an expensive hot path.
Common workflows
Product
Let customers search security events with filters, facets, and low-latency results.
Investigation
Power entity timelines, drill-downs, and related-event exploration.
Scale
Serve many customers while preserving isolation, predictable performance, and cost controls.
Related workloads
Start with one workload.
Start with one search, analytics, streaming, backfill, or derived-data workload and prove value before expanding.