Workload
Mach5 helps cybersecurity companies build the infrastructure behind detection result exploration, enrichment, validation, and product-facing analytics.
How it works
Challenge
Detection products need to turn raw telemetry into explainable findings, aggregates, entity context, and customer-facing exploration paths. That usually means custom transforms, derived tables, test data, and backfills.
Gap
Rules engines, SIEM content, and warehouse jobs often separate detection logic from the serving layer customers use to explore findings. Teams still own mappings, pipelines, tests, derived outputs, and product APIs.
Mach5
Mach5 combines streaming transformations, derived data, search, analytics, and serving paths so detection outputs can become product-ready experiences.
Outcomes
Freshness
Transform and materialize detection outputs as data changes.
Explain
Preserve source context, pivots, timelines, and query paths for customers.
Reuse
Turn detection analytics patterns into reusable workload templates.
Common workflows
Derive
Build product-ready outputs from raw telemetry and enrichment streams.
Explore
Let users search, filter, and pivot from detection outputs to evidence.
Validate
Use repeatable data and backfills to validate detection behavior.
Related workloads
Start with one workload.
Start with one search, analytics, streaming, backfill, or derived-data workload and prove value before expanding.