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Smarter AI Fraud Detection for Faster, Safer Digital Payments

PaymentSense AI

Smarter AI Fraud Detection for Faster, Safer Digital Payments Protect every transaction with AI-powered fraud detection built for high-volume digital payments. PaymentSense AI helps fintech businesses identify suspicious behavior, prevent payment fraud, detect anomalies in real time, and reduce financial risk before it impacts operations.

The Challenge

Fraud Is Outpacing Every Rule You Write. AI Closes the Gap.

The Critical Tradeoff

Real-time payment fraud is the fastest-growing category of financial crime globally, making AI in the fintech industry more critical than ever. Losses are projected to exceed $40 billion by 2027, and the trajectory is steep. Authorised push payment (APP) fraud, account takeover, synthetic identity attacks, and merchant fraud rings are evolving faster than any compliance or fraud team can track manually. The real crisis isn't just the fraud itself; it's the collateral damage from trying to stop it. Legacy rule-based fraud systems generate false positive rates exceeding 95%. That means for every legitimate fraud case blocked, nineteen genuine customers are wrongly declined or flagged, destroying the digital-first customer experience that fintechs spend millions of dollars to create. PaymentSense AI changes that equation with advanced AI fintech solutions and intelligent AI agents in finance designed for real-time fraud prevention. Sub-10ms transaction scoring. 60% reduction in false positives. 30% more fraud caught. At any volume, in any market.

$40B
Fraud Losses by 2027
<10ms
Transaction Scoring
60%
False Positive Reduction
99.9%
Uptime SLA

WHAT IT DOES

AI That Thinks Faster Than Fraud Moves.

The Key Role

PaymentSense AI is a real-time fraud detection and anomaly scoring system that operates at the speed of payment rails. It processes every transaction through a multi-layered contextual intelligence model, simultaneously analyzing device signals, behavioral biometrics, merchant network patterns, and historical behavioral baselines, to produce a fraud probability score in under 10 milliseconds.
Unlike rule-based systems that react to known fraud patterns, PaymentSense AI is a learning system. It continuously adapts its model based on new fraud signals, emerging attack vectors, and evolving customer behavior, ensuring your fraud defenses improve over time rather than degrading as fraudsters circumvent static rules.

Core Capabilities

Five Layers of Artificial Intelligence Working Simultaneously

Sub-10ms Transaction Scoring Engine
Processes transactions in under 10 milliseconds — fast enough to insert a fraud decision into the authorization flow without any impact on customer experience. Handles payment volumes from 1,000 to 100 million transactions per day with horizontal scaling and a 99.9% uptime SLA backed by contractual guarantees.
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Device Fingerprinting & Behavioral Biometrics
Builds a persistent device and behavioral profile for each user — capturing typing cadence, screen press patterns, device characteristics, session navigation patterns, and geolocation consistency. Transactions that deviate significantly from established behavioral norms are flagged before any money moves.
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Merchant Network Graph Fraud Pattern Detection
Maps transaction relationships at the network level, identifying organized fraud rings, mule account networks, and merchant-collusion patterns that are invisible when analyzing individual transactions in isolation. Detects burst fraud patterns across merchant category codes and geographic clusters.
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Human-in-the-Loop Review with AI Decision Tools
High-complexity or borderline transactions are routed to a human review queue with AI-generated case summaries, risk rationale, historical context, and one-click disposition tools. Analyst productivity improves by 3–5x compared to unassisted manual review — while maintaining human oversight where it matters most.
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Explainable Decline Reasons for Regulatory Compliance
Every declined transaction is accompanied by a machine-readable and human-readable reason code — compliant with regulatory requirements in the EU, UK, and US for payment dispute resolution. Enables clean dispute handling, reduces chargeback costs, and provides the audit trail that regulators and card networks require.

How It Works

From Transaction Initiation to Fraud Decision in Under 10ms

01
Transaction Data Ingestion
PaymentSense AI receives the transaction payload, amount, merchant, device fingerprint, session data, and account context, via a secure API from your payment processing infrastructure. Integration requires a single API call with no changes to your core authorization flow.
02
Multi-Signal Contextual Scoring
Five parallel intelligence modules simultaneously evaluate the transaction against behavioral biometric profiles, device trust scores, merchant network patterns, velocity rules, and historical fraud signatures. Results are aggregated into a unified fraud probability score in under 10ms.
03
Risk-Based Decisioning & Routing
Low-risk transactions pass automatically. High-risk trigger automated blocks. Borderline transactions route to human review with AI case briefs.
04
Continuous Model Feedback & Adaptation
Transactions below the risk threshold pass automatically. High-risk transactions trigger an automated block with a regulatory-compliant decline reason. Borderline transactions are routed to the human review queue with an AI-generated case brief.

Who It's For

For Every Business That Moves Money at Speed

Payment Processors & Acquiring Banks

Managing fraud across thousands of merchants and millions of daily transactions. PaymentSense AI's network graph analysis finds cross-merchant fraud rings that merchant-level tools miss entirely.

Digital Wallets & Neobanks

Protecting real-time P2P payments, top-ups, and disbursements for a digital-native customer base where fraud response speed determines brand reputation. Behavioral biometrics are especially powerful in mobile-first environments.

BNPL Providers

Detecting synthetic identity fraud and account takeover at the point of BNPL authorization — where fraud losses are concentrated but detection windows are measured in seconds.

Cross-Border Remittance Platforms

High-value, irreversible transactions across jurisdictions require the highest confidence fraud scoring. PaymentSense AI's multi-jurisdiction device and behavioral profiles are specifically tuned for cross-border payment patterns.

Pricing

Pay for What You Use. Scale Without Penalty.

GROWTH
SCALE
ENTERPRISE
Up to 2M txn/mo
5-Layer Scoring
Review Queue
Decline Reasons
Standard SLA
Up to 20M txn/mo
Custom Training
Unlimited Queue
Behavioral Biometrics
Network Detection
99.9% SLA
Unlimited Volume
Dedicated Instance
White-Label API
Custom Integration
Fraud Intelligence Team
Quarterly Reviews

Integrations

Plugs Into Your Payment Stack in Under One Day

Payment Gateways & Processors
Pre-built connectors for Stripe, Adyen, Braintree, Checkout.com, and ISO 8583-compatible switching environments.
Core Banking Systems
Integration adapters for Temenos, Mambu, Thought Machine, and FIS core banking platforms via REST and message queue interfaces.
Device Intelligence Providers
Augmentation integrations with Sardine, Seon, and BioCatch for enhanced device and behavioral signal enrichment.
Case Management & Alerting
Native export to Jira, ServiceNow, and Slack for fraud analyst workflow integration and real-time alert distribution.

Every Millisecond Matters in Fraud Prevention

See PaymentSense AI process live transactions in your environment — with zero changes to your payment flow. Run a free pilot.

Why Choose SoluLab for AI Fintech Application Development?

SoluLab, #1 AI app development company, helps fintech businesses build intelligent, secure, and scalable AI-powered financial solutions tailored for modern digital payment ecosystems. We develop next-gen fintech applications designed for performance, compliance, and customer trust.

  • AI-Native Fintech Solutions
  • Real-Time Fraud Intelligence
  • Sub-10ms Transaction Scoring
  • Faster Go-To-Market
  • ROI-Driven AI Development
  • Enterprise-Grade Security