MSSP Margin Multiplier Use Case

Your SOC Runs the Show. We Power the Detection.

Problem:
MSSPs are in a margin fight. Everyone runs the same stack — same SIEM, same rules, same SLA. SIEM costs scale with data, analyst costs scale with alerts, and both keep going up. You're competing on price, not capability.

Where spotr.io changes the game:
• Detection your SIEM can't do — streaming anomaly, sequence, behavioral. Tens of thousands running sub-second. Depth no competitor offers.
• Margin expansion — offload detection from SIEM → reduce ingest → costs drop. AI triage handles first pass → analysts focus on real threats.
• Scale without hiring — new customers connect in minutes, autonomous coverage activates detections automatically. More customers, same team.
• Your stack stays yours — feeds better signals to existing SOAR/AI. Import existing Sigma/Splunk/Elastic rules. Nothing gets ripped out.

The revenue angle:
• Reduce SIEM costs (keep savings or pass on)
• Offer premium detection tiers as upsells
• Onboard faster = faster revenue
• Retain longer = stickiness from detection competitors can't match
• Scale book without scaling team

The conversation:
"What's different about your detection versus every other MSSP?" → If you run the same SIEM with the same rules… nothing.
"What if you could offer detection your competitors literally can't?" → Real-time streaming, multi-step chains, behavioral anomalies. Natively, at scale.
"And what if it also cut your costs?" → More margin, not less.