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    Security

    Real-Time Fraud Detection

    Sub-100ms fraud scoring on every transaction. Self-hosted, deterministic and replayable — no data leaves your perimeter.

    View docs
    RFD

    p99 scoring latency under 100 ms

    Runs entirely inside your perimeter

    Replay any flagged transaction deterministically

    How it works

    1. 1

      Stream in

      Transactions arrive on a Kafka-compatible topic. The mesh enforces order and partitioning.

    2. 2

      Enrich & score

      User history, device and geo context are joined in-flight. The agent emits a risk score with model lineage attached.

    3. 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. 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. 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. 3

      Templates → Deploy

      Open the Templates panel, select this template, wire your sources and click Deploy. The pipeline goes live locally in seconds.

    .dmg .msi .deb
    Open in Pulse Requires Pulse 0.1.63+
    Download Pulse DesktopNew here? Free to install.

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