Fraud management · pack status: PILOT READY

Decline the fraud, keep the customer, and be able to explain both.

A synchronous verdict inside the authorization path, carrying the score, the rules that fired, the model version and an audit reference. The pack is built, which makes it the fastest route into a first pilot on your data.

POST /api/interface/decision/decide
// card_not_present · SAR 2,914.00 · new device
// response · 87ms
{
  "action": "review",
  "score": 0.91,
  "severity_band": "high",
  "reason": "velocity + geo mismatch",
  "evaluators": [
    {"rule": "cnp_velocity", "hit": true},
    {"model": "txnCBM@v14", "score": 0.91}
  ],
  "audit_ref": "dec_EXAMPLE…",
  "latency_ms": 87
}
REPRESENTATIVE RESPONSE · SAMPLE DATA · LATENCY TARGET <100MS†
What the pack decides

One question, answered the same way every time.

SIGNALS IN

Card, account, device, velocity, geography, merchant and behavioral history, on point-in-time-correct features.

DECISION OUT

Action, score, severity band, the rules that fired, the model version, and an audit reference.

RUN BY

Fraud strategy, fraud operations and financial crime, in Command Center and Workbench.

Two paths

The verdict stays lean. The investigation runs beside it.

Real-time decision path
features → model → policy → verdict · synchronous · <100ms target†

A hard timeout budget and a fallback verdict when it is breached. Fail-open or fail-closed is your policy, set in configuration.

Async investigation path
flagged → triage agent → drafted rationale · recommendation-first · in build

Related cases, device history, dispute context and policy evidence assemble before an analyst opens the case.

<100ms
scoring latency, in the authorization path
DESIGN TARGET
30-50%
fewer false positives
DESIGN TARGET
45sec
investigations, vs minutes of manual review today
DESIGN TARGET
3-5x
analyst throughput
DESIGN TARGET

Design targets to validate in the first pilot, not yet independently benchmarked. When we have pilot numbers, they replace these.

A first pilot

Shadow first, enforce second, on your own history.

Baseline

Your history, replayed

Policies simulated against your own decision history, so you can see what would have changed before anything changes.

Shadow

Live traffic, acting on nothing

Nyx scores beside your existing checks. You compare its calls with your team's, on your traffic.

Enforce

Narrowly, with your rollback

Turn it on for a scoped segment, with your fallback verdict and your rollback, on evidence from your pilot.

Deployment is your choice in every case: managed by us, in your cloud, or in your data center. Compare the deployment models →

Fraud pack · pilot ready

Prove it on your own history.

Bring a slice of your decision history and your current thresholds. We will show you what Nyx would have decided, and where it disagrees with you.

HELLO@NAXVERSE.AI · FOUNDER-LED, PROCUREMENT-READY · DUE-DILIGENCE PACK ON REQUEST