The prop firm anti-fraud system.
Rule engines catch breaches inside one account. Rubi verifies the person behind the account: AI interviews, integrity signals and trade data so payout fraud cannot hide behind a clean equity curve.
Clean trades. Wrong person.
Prop firm anti-fraud starts where the rule book ends: bots, managers and hedges that never trip a soft breach, yet drain funded capital at payout.
- 01
Third-party trading and copy trading
EAs, signal services, trade copiers or paid account managers place the orders while the account holder collects the payout.
Read the use case - 02
Cross-account hedging
Opposite exposure across firms so one side passes or pays out whatever the market does. Each book can look clean on its own.
Read the use case - 03
Gamification
All-in sizing, martingale or grid recovery, and trading the rules instead of a repeatable method.
Read the use case
Interview. Detect. Decide.
One interview produces three concern verdicts your analysts can defend. See the full product flow, or jump straight into a use case.
- 1
Interview the account holder
An adaptive AI voice interview in the trader's language, on webcam and full screen, with an attestation that they are alone and unaided.
- 2
Cross-check real trades
Answers are compared with trades synced from Axcera, your own API or a CSV upload. Pace, hours, markets and risk have to match the story they tell.
- 3
Hand a verdict to your analyst
Each concern is Clear, Suspected or Likely, with evidence linked to the recording or the trades. Rubi recommends a step. Your risk team decides.
Three behaviors that drain payouts.
- 01
Third party trading
An EA, a signal copier, an account manager or someone else placing the trades.
Read the use case - 02
Cross account hedging
Opposite positions across accounts, so one side passes or pays out whatever happens.
Read the use case - 03
Gamification
Lottery ticket sizing, martingale recovery and trading the rules instead of the market.
Read the use case
Prop firm anti-fraud, answered.
What is a prop firm anti-fraud system?
It is software that verifies the trader behind a funded or evaluation account before payout. Rubi combines an adaptive AI interview with trade data so risk teams can flag third-party trading, copy trading, EAs, cross-account hedging and gamification.
How is Rubi different from a rule engine?
Rule engines catch breaches inside one account. They miss bots, paid managers and hedges at other firms. Rubi puts the account holder on camera, asks sideways questions, and checks every answer against how the account really traded.
What trading data does Rubi need?
Trades from Axcera, your own read-only API, or a CSV or XLSX upload. Without data Rubi still interviews the trader, and the report states plainly what it could not check.
Can traders beat the interview with rehearsed answers?
Rehearsed answers rarely survive the account's own data. Rubi never asks outright about bots or copiers. It asks about pace, hours and method, then follows up with the real numbers when an answer does not match the trades.
Who makes the final fraud decision?
Your analyst. Rubi returns Clear, Suspected or Likely for each concern, recommends a step, and links every claim to a timestamp or trade. The human records the decision and that feedback stays inside your firm.
See it on one of your own traders.
A 30 minute walkthrough with a live interview and a real report. Pick a time.