1:N Face Search 
Device Intelligence 
Behavioral Biometrics 
Account Takeover
Banking & Financial Services
Stolen and synthetic identities enable account takeovers, transaction fraud, and financial loss.
Fraud
Stop Fraud Before It Costs You Money
AI-powered fraud prevention built for MEA. Cut fraud losses 20-30% and false positives 50-70%.
Our digital identity partners
Multi-Layered Fraud Prevention for MEA Enterprises
Four complementary fraud detection layers working together, stopping fraud at every touchpoint while maintaining frictionless experiences for legitimate users.
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1 Device Layer
Fingerprint and trust every device
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2 Behavioral Layer
Detect anomalies in real time
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3 Biometric Layer
Authenticate identity, not credentials
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4 Transaction Layer
Screen and block suspicious activity
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1:N Face Search -
Device Intelligence
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Behavioral Biometrics
- Transaction Monitoring
Stop Multi-Accounting & Known Fraudsters Instantly
prevent duplicate accounts by Real-time facial recognition against your entire user database
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Search millions of faces in real-time during onboarding
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Blacklist screening for known fraudsters
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Repeat offender detection
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Duplicate account prevention
- Up to 50%+ multi-accounting prevention
Block Compromised Devices Before They Access Your Platform
Persistent device fingerprinting with 99.7% accuracy that detect fraud rings using shared devices
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Hardware-backed device identity
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Root/jailbreak detection with tamper prevention
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GPS spoofing and location fraud detection
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Device network graph analysis
- 68% ATO reduction
Detect Account Takeover Through User Behavior
Continuous behavioral analysis comparing typing patterns, swipe gestures, navigation paths, and session behavior against established user profiles
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Keystroke dynamics
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User similarity scoring against historical patterns
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Bot detection through non-human patterns
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Real-time risk scoring during sessions
- 60%+ false positive reduction
Stop Fraudulent Transactions in Real-Time
AI-powered transaction analysis with pre-configured MEA fraud rules plus ML anomaly detection, block suspicious payments before they complete
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Real-time transaction scoring (<100ms)
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Pre-configured MEA fraud patterns
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ML behavioral analytics for peer comparison
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Shared beneficiary and mule account detection
Four Layers of Fraud Prevention
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1
Device Intelligence
Device Intelligence & Fraud Prevention
Device fingerprinting creates persistent identity that survives resets and app reinstalls. 160+ signals analyzed in real-time to calculate risk scores and reveal fraud rings through device network graphs
- 160+ device signals (OS integrity, rooting, emulator, GPS spoofing, app cloning)
- Device network graphs for fraud ring detection
- Real-time risk scoring: trusted, suspicious, or blocked
- Blocks bot farms, device resets, coordinated fraud rings, and location spoofing
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2
Behavioral Analysis
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3
Biometric Verification
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4
Transaction Intelligence
SIM fraud
Telecommunications
SIM swaps, unauthorized registrations, and subscriber impersonation undermine network and user trust.
Transaction Fraud
Money Remittance
Concealed sender and recipient identities expose platforms to mule networks and sanctions risk.
Credit Fraud
BNPL
Fraudulent credit access, deliberate defaults, and multi-accounting drain provider revenue rapidly.
Loan Stacking
Lending & Borrowing
loan stacking, and deliberate defaults surface when identities go unverified.
Illicit Assets
Crypto Exchanges & Digital Assets
Concealed ownership, illicit asset movement, and withdrawal fraud exploit weak identity controls.
Wash Trading
Exchanges
Account takeovers, wash trading, and unauthorized access thrive behind unverified user identities.
Ticket Fraud
Events & Conferences
Ticket fraud, duplicate registrations, and unauthorized resale flourish without attendee identity verification.
Chargeback Fraud
Marketplaces
Chargeback fraud, seller impersonation, and multi-accounting erode platform integrity and user trust.
Social abuse
Social Apps
Impersonation, scam networks, and coordinated abuse scale rapidly without verified user identities.
Booking Fraud
Hotel & Accommodation
Booking fraud, chargeback abuse, and no-show schemes exploit unverified guest identities.
Identity Spoofing
Mobility
Fraudulent rentals, liability evasion, and repeat abuse persist when driver identities go unchecked.
Why 50+ MEA Enterprises Trust Uqudo Fraud Prevention
Multi-Layered Fraud Defence
- 4 complementary layers: device, behavioural, biometric, and transaction
- 20-30% fraud reduction vs. 5-10% with single-layer solutions
- Simultaneous bypass required across all layers
Catch fraud that single-method systems miss by forcing attackers to defeat four independent detection layers at once
Each layer compounds detection difficulty exponentially, closing the gaps that fraudsters exploit when organisations rely on one method alone
Region-Ready Fraud Intelligence
- Pre-configured rules for SIM swap, mule networks, and promotional abuse
- GCC-specific pattern detection for coordinated BNPL and crypto exchange fraud
- Operational from day one with no learning curve or tuning required
Stop MEA-specific fraud immediately with detection logic built around regional attack patterns, not retrofitted from other markets
Only fraud platform shipping with pre-trained rules calibrated to GCC and broader MEA threat landscapes out of the box
Invisible Fraud Prevention
- Sub-100ms fraud decisioning with invisible behavioural tracking
- Optional biometric step-up only when risk warrants it
- 50-70% false positive reduction vs. traditional rule-based systems
Stop fraud without frustrating legitimate customers. Fewer false positives mean fewer complaints, fewer support tickets, and higher conversion.
Risk-proportionate friction that protects revenue by reserving visible security steps for genuinely suspicious sessions only
Persistent Device Intelligence
- 99.7% accurate fingerprinting that survives factory resets, reinstalls, and privacy tools
- 800M+ global device network with less than 0.3% collision rate
- Continuous tracking across device changes and evasion attempts
Fraudsters cannot escape detection by resetting devices or switching tools. Identity follows the device, not the session.
One of the largest commercial device networks available, turning every fraud attempt into intelligence that strengthens future detection
Fraud Network Mapping
- Device network graphs linking shared devices, IPs, and behavioural patterns
- Cross-account syndicate detection and takedown
- Proven at scale: 3,340 connected mule accounts blocked in a single operation
Eliminate entire fraud rings, not just individual accounts. Every connection uncovered multiplies prevention impact across your portfolio.
Graph-based detection that traces relationships between accounts, exposing coordinated operations that transaction-level analysis alone cannot see
Unified Platform Intelligence
- Identity, fraud, and compliance in a single platform
- Shared intelligence across the full customer lifecycle
- Single vendor, single contract, unified data model
Fraud signals from onboarding inform transaction monitoring and vice versa. No blind spots between siloed systems.
One platform replacing multiple point solutions, giving teams complete visibility without the integration overhead of stitching vendors together
Deploy Fraud Prevention in Days, Not Months
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1SDK Integration
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2API Integration
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3Pre-Built Transaction Monitoring Rules
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4Full Platform Integration
Account takeover attempts, synthetic identity fraud, device spoofing at scale
Integration
- iOS
- Android
- Lightweight SDK
- 1-2 weeks
Features
- Device fingerprinting with 160+ signals
- Behavioral biometrics collection
- 1:N face search integration
- Real-time risk scoring
- Mobile apps requiring comprehensive fraud protection
Rising fraud losses, inability to detect multi-account abuse, delayed risk decisioning
Integration
- RESTful API
- Server-to-server
- JSON request/response
- 1-2 weeks
Features
- Device risk scoring via API
- Transaction fraud analysis
- 1:N face search API
- Real-time decisioning webhooks
- Backend fraud detection
- Existing system enhancement
Undetected suspicious transaction patterns, manual monitoring inefficiencies, compliance reporting gaps
Integration
- Configuration-based setup
- Pre-built MEA-optimized rules
- No custom development needed
- Days to go live
Features
- Customizable thresholds and rule engine
- Alert generation and case management
- 5 rule categories: velocity, high-value, beneficiary, geographic, behavioral
- Regulatory reporting
- Banks
- Payment processors
- Compliance-ready monitoring
Fragmented fraud tools, siloed identity and compliance systems, lack of unified risk visibility
Integration
- Full-stack deployment
- Identity + Fraud + Compliance unified
- Dedicated onboarding support
- 4-6 weeks
Features
- Complete fraud prevention stack
- Custom rule development
- Dedicated fraud analyst training
- Quarterly optimization reviews
- Enterprise deployments
- End-to-end solution requirements
Code Example
UqudoFraud.initialize(apiKey: “your_key”) .enableDeviceIntelligence() .enableBehavioralBiometrics() .setFaceSearchEnabled(true)
Code Example
curl -X POST https://api.uqudo.io/fraud/analyze -H “Authorization: Bearer TOKEN” -H “Content-Type: application/json” -d ‘{ “user_id”: “user_123”, “device_fingerprint”: “…”, “transaction”: {…} }’
- Response:
{ “risk_score”: 85, “risk_level”: “high”, “signals”: { “device_risk”: “emulator_detected”, “behavioral_anomaly”: true, “face_match”: “duplicate_found” }, “recommendation”: “block” }
Code Example
- RuleEngine()
.setVelocityChecks(true)
.setAmountThresholds(true)
.setGeolocationFlags(true)
Code Example
DocumentBuilder()
.setScanDocument(true)
.setNFC(true)
.setFacialRecognition(true)
Only MEA-Specialized Solution
Built from the ground up for MEA documents, languages, regulations, and infrastructure not adapted from global templates
Proven National-Scale Experience
Operated national digital ID programs serving 5M+ citizens with proven ability to handle enterprise scale and government requirements
Complete Platform, Single Accountability
Identity + Fraud + Compliance in one integrated solution, no vendor juggling or finger-pointing
Deploy Anywhere
Only provider offering SaaS, private cloud, on-premise, and hybrid options & meet any regulatory or data sovereignty requirement
FAQ section
Find the answers you need
1
How quickly can I deploy fraud prevention?
SDK integration takes 1-2 weeks, API integration similar. Transaction monitoring rules can be configured in days. Full platform deployment: 4-6 weeks including custom rules and analyst training.
2
What MEA fraud patterns are pre-configured?
SIM swap attacks, coordinated BNPL abuse, crypto exchange manipulation, mule account networks, multi-accounting for promotions, velocity-based structuring, and beneficiary fraud rings common in GCC markets.
3
How does 1:N face search work at scale?
Real-time search against millions of faces completes in <1 second. Each customer has isolated database. Configurable similarity thresholds balance false positives vs. fraud detection. Works seamlessly during onboarding and authentication.
4
Can fraudsters bypass device fingerprinting?
Extremely difficult. Our 99.7% persistence survives factory resets, VPNs, privacy tools, and app reinstalls. Even if fraudsters use new devices, behavioral biometrics and 1:N face search provide additional layers.
5
How do you reduce false positives by 50-70%?
ML models learn from your specific fraud patterns and legitimate user behavior. Multi-layered approach means we require multiple suspicious signals before triggering high-friction actions. Continuous optimization based on investigation outcomes.
6
What happens when fraud is detected?
Configurable responses: automatic block, hold for manual review, step-up authentication, or fraud team alert. You control thresholds and actions based on risk appetite. Complete audit trails for investigations.
7
Can I customize fraud rules?
Yes. Pre-configured MEA rules provide immediate value. You can add custom rules, adjust thresholds, create customer segments with different rules, and integrate proprietary fraud intelligence.
Ready to Transform Your Digital Identity?
Join 50+ leading enterprises across MEA delivering frictionless, secure onboarding with uqudo.
