Compliance Use Case
Compliance frameworks — SOC 2, PCI DSS, HIPAA, NIST — require log retention. 12 months minimum, sometimes 7 years. So everything goes into the SIEM and stays there.
The result: 80% of your SIEM budget is storage, not detection. You're paying Splunk prices to park data that gets queried once during an annual audit. And when cost pressure hits, teams start dropping sources or shortening retention — creating the exact compliance gaps the SIEM was supposed to prevent.
Then the auditor shows up and asks for 6 months of DNS logs. You dropped them in month 2 because volume was blowing up your license. Now you have a finding.
The SIEM is trying to be two things — a detection engine and a compliance archive — and failing at both. Detection suffers because budget goes to storage. Compliance has gaps because budget pressure forces data drops.
How spotr.io Does It
Decouple detection from retention. Detection happens on the stream in real time — no storage required. Then the pre-enriched data flows to cheap storage: S3, Snowflake, Databricks — pennies per GB, retain as long as you need.
The compliance archive gets better data than the SIEM ever stored because it's pre-enriched with GeoIP, threat intel, and entity context before it hits the lake. When the auditor shows up, you have complete, enriched, searchable logs going back as far as you need. No gaps. No data drops.
Hunting and investigation happen on-demand against the lake when you need them. But detection already happened in real time — it's not gated by querying stored data.
The Conversation
"What percentage of your SIEM budget is detection vs. storage?" — Most don't know, but it's usually 80% storage.
"Have you ever dropped a data source or shortened retention to control costs?" — Almost everyone has.
"What if detection cost a fraction and compliance retention was pennies per GB?" — That's spotr.io.