Solutions / Security & SIEM
Make the SIEM a destination. Not the data architecture.
Put an independent control layer between security telemetry and the platforms consuming it. Filter, normalize, govern and route data without requiring the SIEM to own collection upstream.
The problem
Security data has become infrastructure.
It deserves the same upstream discipline as everything else moving through the stack — not another vendor agent per source.
Telemetry growth
the volume of security-relevant data keeps growing faster than headcount or budget.
Expensive consumption
SIEM platforms price by what they ingest and index, not by what's actually useful.
Fragmented collection
different agents, forwarders and per-source pipelines make the same data look different by the time it lands.
Vendor-led vs LyftData-led
The difference is who owns the path upstream.
The SIEM is still where security teams work. The question is whether it also owns collection, processing and routing for everything feeding it.
Vendor-led
Sources
Vendor-specific collection & processing
SIEM owns the upstream architecture
Changing or adding a destination means re-working collection.
LyftData-led
Sources
LyftData control layer
SIEM · archive · analytics · future destinations
The SIEM is one destination. Collection stays put when destinations change.
Two architectures. Vendor-led: sources feed vendor-specific collection and processing, and the SIEM owns the upstream data architecture, so changing or adding a destination means re-working collection. LyftData-led: sources feed the LyftData control layer, which routes governed data to the SIEM alongside an archive, analytics and future destinations — the SIEM is one destination, not the owner, and collection stays put when destinations change.
The SIEM remains valuable. It simply stops owning the upstream data architecture.
Architecture
Give security tools consistent data upstream.
One collection layer, normalized once, routed to every destination that needs it — SIEM included, not in charge.
Illustrative architecture
Sources
- Endpoints
- Cloud
- Identity
- Network
LYFTDATA
Security data control layer
- Collect
- Transform
- Route
- Govern
- Observe
Filter, normalize and govern once — before any destination sees it.
SIEM (example)
Splunk
Full fidelity
Archive
Governed context
Analytics
Not yet decided
Future destination
Security sources — endpoints, cloud, identity and network — converge into one LyftData control layer that filters, normalizes and governs the data. Governed output routes to a SIEM such as Splunk, to a low-cost archive, to analytics, and to future destinations not yet decided.
Splunk is shown as an explanatory example destination — not an implied partnership or endorsement.
Migration
Modernize without a forced rip-and-replace.
Introduce LyftData upstream of the SIEM you already run, add alternative destinations when you're ready, and move workloads on your own timeline.
A four-stage progressive migration: start with the existing SIEM unchanged; introduce LyftData upstream of it; add alternative destinations such as storage or analytics; move workloads to them progressively, on your own timeline, with no forced rip-and-replace.
No forced rip-and-replace. The SIEM stays a destination the whole time.
Why LyftData
Independent
the SIEM consumes governed telemetry — it doesn't own the collection architecture feeding it.
Governed
masking, normalization and routing rules apply once, upstream, before data reaches any destination.
Reusable
the same upstream pipeline keeps running through a SIEM evaluation, a migration, or a permanent multi-destination setup.
Modernize security data movement on your own timeline.
Start with LyftData upstream of what you already run, or map the migration with the team.