Use case · Log processing & SIEMWatch 100 GB of logs
become 15 GB of signal.
Reduce ingestion cost. Eliminate duplicate and low-value logs. Keep every event your detection rules actually need.
No SIEM replacement. No new agents. No rule rewrites.
Here’s the math
Every transformation you just watched happened before a byte crossed the network. That is where the cost, speed, and compliance wins come from. The numbers below come from one production deployment, a European automotive OEM: treat them as a reference point, since your results will depend on your log mix.
raw logs in, signal out, measured on one node.
lower total logging cost across transfer, ingest, and storage.
faster queries against indexes that hold signal, not noise.
to alert on critical patterns, detected at the edge.
“Can’t our SIEM just filter this?”
It can, but only after you have paid to ship and ingest every byte. Filtering downstream trims what you see, not what you spend. Expanso sits in front of Splunk, Sentinel, Elastic, Datadog, or any SIEM, and leaves your rules where they are.
- Without Expanso
- The filter runs after the ingest meter.
- billed 100 GB
- With Expanso
- The filter runs on the node, before the meter.
- billed 15 GB
Ingest pricing is charged on arrival. A filter inside the SIEM runs after the meter, at the edge it runs before.
Redaction downstream means sensitive fields crossed the network and sat in queues. Masking on the node means they never left it.
SIEM rules only shape what enters that SIEM. Edge processing feeds search, metrics, and archive from a single place.
Why security teams deploy Expanso
Log pipelines are usually an observability purchase. Security teams sponsor this one because it shrinks what they have to defend, and because the reduction is deterministic: duplicates and debug noise are removed by rule, not by sampling, so nothing your detection rules depend on is gambled away.
PII that never leaves the node cannot be exposed in transit, in a queue, or in a downstream index. Redaction at the source removes whole categories of incident.
Regional data stays in region because processing happens there. GDPR and HIPAA reviews get simpler when the answer is “it never crossed the border.”
Critical patterns fire on the node in under a second, not after batching, shipping, and indexing. Detection latency stops depending on pipeline depth.
Full fidelity logs land in cheap archive storage, already redacted, while only signal reaches the SIEM. Investigations keep their evidence, budgets keep their headroom.
Live before your next SIEM invoice.
Your data is your data. The pipeline runs on your nodes, under your control, and ships only what you decide to ship. No SIEM replacement. No new agents. No rule rewrites.
