Real-Time Fraud Detection
Sub-100ms fraud scoring on every transaction. Self-hosted, deterministic and replayable — no data leaves your perimeter.
p99 scoring latency under 100 ms
Runs entirely inside your perimeter
Replay any flagged transaction deterministically
How it works
- 1
Stream in
Transactions arrive on a Kafka-compatible topic. The mesh enforces order and partitioning.
- 2
Enrich & score
User history, device and geo context are joined in-flight. The agent emits a risk score with model lineage attached.
- 3
Decide & publish
Allow, challenge or block. The decision is published downstream and sealed for replay.
Audit trail
- Every score is signed and tied to its model version
- Reproduce any decision against the exact stream state
- Stream the audit chain straight to your SOC
Deploy this template
Pulse is a desktop app with an embedded server. No Docker, no CLI, no YAML — install once and ship templates from the UI.
- 1
Download Pulse Desktop
Native binaries for macOS, Windows and Linux. Installer is ~80 MB and bundles the runtime — nothing else to set up.
- 2
3-step setup wizard (~90s)
Pick a workspace, sign in, and let Pulse provision the local server. The wizard walks you through it on first launch.
- 3
Templates → Deploy
Open the Templates panel, select this template, wire your sources and click Deploy. The pipeline goes live locally in seconds.
Ready to deploy this template?
Let's talk about your use case. We'll help you wire your sources and ship this template to production.