ZAI - DatosZRisk · Risk management

Spot risk before it costs you.

A machine-learning fraud score, multi-account detection and alerts on unusual patterns, always with the final decision in your team’s hands.

ZRisk · Risk management
  • 01

    Fraud score

    Categories such as normal, casino type, expert, bot, problem gambling or fraudulent.

  • 02

    Multi-account detection

    Name, IP, device tokens, presence in several agencies and session details.

  • 03

    Legitimate matches

    Recognizes valid cases, such as a family or an internet café sharing a connection.

  • 04

    Promotion abuse

    Detects accounts that repeat bonuses or meet their conditions in atypical ways.

  • 05

    Early alerts

    Warns of sudden changes in deposits, bets or activity so they can be reviewed in time.

  • 06

    Your team decides

    It’s a flagging tool for human review, not an automatic block.

+What you gain

01Alerts

on unusual patterns

02Fewer losses

from promotion abuse

03Priority

the accounts to review first

✓In practice

The situation

The same person opens accounts in different agencies to repeat promotions.

With Zgames

Detection cross-checks agencies, devices and sessions and flags it for review.

The situation

A player suddenly changes their deposit and betting pattern.

With Zgames

Their risk score rises and the team reviews it before approving withdrawals.

The situation

Several accounts claim the same welcome bonus from the same device.

With Zgames

AI identifies the pattern and alerts the team before the bonuses are paid.

The situation

A family plays from the same connection and shows up as a possible multi-account.

With Zgames

The model recognizes the legitimate match and your team reviews it without blocking valid accounts.

+Más de ZAI - Datos

ZDashboard · Data integration and analyticsZPredict · Predictive analyticsZConnect · AI for your companyZRisk · Risk management

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