Use Cases / Fintech

FraudZero

Explainable AI Fraud Detection
Secures digital banking with instant fraud detection and explainable AI.

FraudZero is an autonomous transaction monitoring system for banks and financial platforms. It scores every transaction as it happens, flags anomalous activity in real time, explains the reason behind each call, and steps up authentication where the risk warrants it, without slowing down a legitimate trade.

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SECTORFintech
BUILT FORBanks and financial platforms
PRODUCTAI · Security · Web Application
LANGUAGESEnglish · العربية · اردو
How it runs

From the first request
to the finished action.

Streaming feature computation, machine-learned risk models and an explainable decision trail sit behind a single web application the risk team works in directly: reviewing what was flagged, reading the factors behind each score, and feeding those decisions back into the model.

01

Transaction

Every transaction is picked up the moment it is submitted.

02

Score

Streaming features and machine-learned models score it in real time.

03

Explain

The factors behind the score are written out in plain language.

04

Intervene

Approve, send for review, block, or step up to multi-factor authentication.

05

Learn

Reviewer decisions feed back into the model on confirmed outcomes.

What it brings

Built to do the work,
not describe it.

01

Real-time scoring

Every transaction, scored as it is submitted.

02

Anomaly detection

Tuned to the complexity of financial services.

03

Explainable risk scores

The factors behind each decision, in plain language.

04

Risk-based step-up MFA

Triggered by risk, not by blanket rules.

05

Auditable decision trail

Written for compliance review from the start.

06

Reviewer feedback loop

The model retrains on confirmed outcomes.

07

Analyst console

Monitoring, triage and case review in one web application.

08

Three languages

Walkthroughs in English, Arabic and Urdu.

Next step

Bring us one problem.

Talk to us about FraudZero
Built from

Five building blocks,
one chain.

FraudZero runs on five of the capabilities every AI Brigade system is built from, chained in the order it uses them.

INPUT

Understand

Intent, documents and enterprise knowledge

JUDGEMENT

Reason

Models, rules and business context together

JUDGEMENT

Decide

Risk, policy, confidence and approvals

EXECUTION

Act

APIs, applications and workflows

CONTROL

Escalate

Human-in-the-loop wherever judgement is required

UNDER THE HOODStreaming featuresML risk modelsExplainable AIStep-up MFAAudit trail
How it is delivered

Shadow-run first.
Trusted after.

Nothing decides until it has been proven against live traffic, and nothing ships without a way to switch it off.

01

Discover

Mapping settled disputes to understand what fraud actually looks like here.

02

Design

Choosing features the risk team can defend to a regulator.

03

Build

A streaming scorer, shadow-run against live traffic before it decides anything.

04

Deploy

Cutover behind a kill switch.

05

Scale

A retraining loop driven by reviewer feedback.