FraudZeroExplainable 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.
- Sector
- Fintech
- Built for
- Banks and financial platforms
- Product
- AI · Security · Web Application
- Languages
- English·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.
- 01Transaction
Every transaction is picked up the moment it is submitted.
- 02Score
Streaming features and machine-learned models score it in real time.
- 03Explain
The factors behind the score are written out in plain language.
- 04Intervene
Approve, send for review, block, or step up to multi-factor authentication.
- 05Learn
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.
- InputUnderstandIntent, documents and enterprise knowledge
- JudgementReasonModels, rules and business context together
- JudgementDecideRisk, policy, confidence and approvals
- ExecutionActAPIs, applications and workflows
- ControlEscalateHuman-in-the-loop wherever judgement is required
Under the hood
- Streaming features
- ML risk models
- Explainable AI
- Step-up MFA
- Audit 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.
- 01Discover
Mapping settled disputes to understand what fraud actually looks like here.
- 02Design
Choosing features the risk team can defend to a regulator.
- 03Build
A streaming scorer, shadow-run against live traffic before it decides anything.
- 04Deploy
Cutover behind a kill switch.
- 05Scale
A retraining loop driven by reviewer feedback.
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