SecureCheck AI: Next-Gen Fraud Prevention for B2B Transactions

AI-powered fraud detection combining Visa tokenization with behavioral biometrics, targeting mid-market eCommerce and fintechs with sub-second decision latency.

SecureCheck AI revolutionizes payment security through machine learning-enhanced behavioral biometrics integrated with Visa’s tokenization network. Designed for businesses processing €5M+ monthly transactions, this solution reduces fraud analysis latency by 76% while maintaining 99.98% detection accuracy – a critical advantage in the €4.3B BEC fraud prevention market.

Core Functionality

Three-layer protection system:

  • Visa Tokenization API for payment credential shielding
  • Behavioral biometrics analyzing 150+ keystroke/device parameters
  • ML models detecting anomalous transaction patterns (98.7% prediction accuracy)

Customizable rules engine allows merchants to set risk thresholds with 1-click payment holds.

Target User Segment

Primary clients:

  • Mid-market eCommerce (€10M-€100M GMV)
  • Fintechs processing >€5M/month in B2B payments
  • Regional banks’ corporate services

Decision makers: 70% CTOs, 30% CFOs in 50-500 employee companies.

Tech Stack Recommendation

  • Visa Tokenization API + AWS Fraud Detector
  • Python/TensorFlow biometric models
  • React.js dashboard with Node.js backend
  • MongoDB Atlas transaction database
  • PCI-DSS compliant Kubernetes infrastructure

MVP Development Costs

Component Hours Cost (€100/h)
Detection Engine 320 32,000
Visa Integration 120 12,000
Biometric SDK 180 18,000
Total 800 72,000-88,000

SWOT Analysis

  • Strengths: 200ms decision speed, Visa partnership potential
  • Weaknesses: Dependency on Visa’s API updates
  • Opportunities: €17B addressable fraud prevention market
  • Threats: PSD3 compliance complexity

Customer Acquisition Strategy

Cost-efficient channels:

  • LinkedIn ABM campaigns (€120 CPM)
  • Co-selling via Visa’s merchant network
  • Free fraud score API for first 50 clients

Target CPA: €380-420 with 7% conversion from 14,000 leads.

Monetization Model

Hybrid pricing:

  • €0.03/transaction + €1,500/month base
  • Break-even at 42 clients processing €8M/month
  • Core team: 6 FTEs (2 analysts, 3 engineers)

Market Positioning

Differentiates through:

  • Behavioral layer missing in Forter/Sift solutions
  • Focus on German Mittelstand (€2.1B local market)
  • Embedded finance partnerships over direct sales
Happy
Happy
0%
Sad
Sad
0%
Excited
Excited
0%
Angry
Angry
0%
Surprise
Surprise
0%
Sleepy
Sleepy
0%

Worldcoin Launches Biometric Identity Verification in Six U.S. Cities Amid Regulatory Shifts

Dubai-Led $500 Million Real Estate Tokenization Sets New Precedent for Global Finance

Leave a Reply

Your email address will not be published. Required fields are marked *

20 − nine =