Use case · SecOpsDetect threats without drowning in log noise
Stop bad data before it floods your SIEM. Validate, deduplicate, and enforce log integrity upstream so your security team focuses on real threats.
- No tool replacement
- No agent sprawl
- Deploy in weeks
From the case study below: a top-25 US regional bank running Expanso upstream of Splunk.
Why SIEM architectures fail under scale
Security environments produce high and variable event volume. Much of it has no detection value.
SIEM becomes a storage platform, not a detection engine.
Detection lags minutes instead of seconds. Threats go unnoticed.
Duplicates trigger the same rules repeatedly. Analysts burn out investigating noise.
Infrastructure logs everything by default. Most of it has zero detection value.
Enforce security telemetry at the edge
Validates logs before they reach your SIEM. Not after.
- Every log forwarded to SIEM regardless of value
- Duplicates and replayed events inflate volume
- Debug-level logs consume correlation resources
- Analysts buried in noise, real threats missed
- Storage costs spiral with no performance gain
- Duplicates and replayed events removed before ingestion
- Debug logs suppressed deterministically at the source
- Ingestion volume tracked against your baseline
- High-value security context preserved for correlation
- Detection performance stabilized under growth
Deploy upstream
Expanso sits between your log collectors and your SIEM. No agent changes, no collector modifications. Your existing stack stays exactly where it is.
Validate and filter
Deterministic deduplication removes replayed events. Timestamp validation corrects ordering. Low-value debug telemetry is suppressed before it consumes correlation resources.
Protect your SIEM
Your SIEM receives trusted, structured, high-value telemetry. Correlation engines run faster. Detection rules fire on real events. Your team investigates threats, not noise.
14.3 TB/day to 5.2 TB/day
A 4-week pilot upstream of Splunk, with no detection rule changes.
The challenge
A top-25 US regional bank needed to reduce SIEM costs without sacrificing detection coverage, and needed results before its next budget cycle.
Its security telemetry included duplicates, debug output, and replayed events from failover mechanisms.
What changed
Expanso deployed upstream of the bank's Splunk instance in a 4-week pilot. Removing duplicates, filtering debug logs and health checks, and validating timestamps reduced ingestion from 14.3 TB to 5.2 TB daily. Correlation engines ran faster on clean data. Average triage time dropped from 23 minutes to 5.6 minutes.
“We already have a SIEM…”
Exactly. Expanso does not replace your SIEM: it protects it. Your Splunk, Sentinel, Elastic, or Datadog instance stays exactly where it is. Expanso sits upstream and ensures your SIEM ingests trusted, structured, high-value telemetry instead of unfiltered noise.
Think of it as quality control for your security data pipeline. Better data in, better detection out.
Why deploy Expanso for SecOps
Lower SIEM cost
Filter selected records before transfer, then measure downstream volume and cost. Works alongside Splunk, Sentinel, Elastic, Datadog, or any SIEM platform.
Faster triage
Analysts work with clean data. In the bank pilot, triage time dropped from 23 minutes to 5.6. Correlation engines produce more accurate alerts when duplicates and noise are removed upstream.
No agent changes
Deploy without modifying existing agents, collectors, or detection rules. Runs anywhere your infrastructure runs: cloud, hybrid, on-prem, or edge.
Cleaner incident timelines
Validated, structured logs produce incident timelines you can trust. The metadata you configure stays with each record for investigations and audits.
Less analyst burnout
Stop burying your team in noise. When duplicates disappear, analysts see real threats instead of replayed events. Focus shifts from filtering to investigating.
Scales with growth
Handles increasing log volumes without degrading detection performance. As your environment grows, Expanso keeps your SIEM costs and correlation speed stable.
Frequently asked questions
Does Expanso replace existing data platforms?
No, we make them cheaper, faster, and more reliable. Expanso sits upstream of Snowflake, Databricks, Splunk, Datadog, Elastic, and other platforms. We are the data control layer that filters noise, enforces governance policies, and optimizes data before it hits your downstream systems. You keep your existing analytics, observability, and security tools; they just work better and cost less.
Where are pipeline payloads processed?
Pipeline payloads are processed on customer-controlled nodes. Only configured outputs are sent to destinations chosen by the customer. Managed Expanso Cloud receives operational metadata, including metrics, health, and logs, for fleet coordination.
How quickly can we deploy?
Start with the free tier (5 nodes) or pilot a subset of your infrastructure. Most enterprises deploy to 50-100 nodes in the first month and validate cost savings before scaling to thousands of endpoints. Transparent per-node pricing means no surprises; you control the rollout pace. A typical path is pilot (weeks 1-4), validate savings (weeks 5-8), then scale (months 3-6). Actual timing depends on node preparation, credentials, source and destination access, job configuration, and validation.
Stop paying to ingest noise
Validate before ingestion. Protect your SIEM. Detect faster.
