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How It Works?

Shufti's Transaction Trust Monitoring solution is designed to automatically monitor and assess financial transactions for potential risks, including money laundering, fraud, and non-compliance with regulations. The solution prioritises the detection of suspicious activities related to money laundering, ensuring that every transaction is rigorously screened in real time.

By using advanced algorithms, real-time data processing, and integration with global sanctions and risk databases, Shufti identifies and flags potential risks while helping payment service providers maintain compliance and reduce manual oversight.

Overview of Shufti's Transaction Trust Monitoring Solution​

In simple terms, Shufti scrutinises every transaction to make sure clients do not unknowingly engage in fraudulent, illegal, or high-risk activities.

Key Components​

  • Data Enrichment: Shufti enriches transaction data points such as sender location, recipient bank details, and transaction context using merchant-provided details.
  • Real-Time Monitoring: Each transaction is screened in real time using predefined rules to flag sanctions violations, unusual patterns, or high-risk jurisdictions.
  • Ongoing Monitoring: Shufti continuously monitors transactions, including post-processing checks, to detect newly emerging suspicious activities. Batch verification is also supported for periodic review of historical transactions.
  • Rule Engine: The rule engine detects patterns and anomalies that may indicate money laundering, fraud, or sanctions breaches.
  • Customisable Risk Thresholds: Rules and thresholds can be adapted to specific business models and compliance requirements.
  • Automated Reporting & Audits: Detailed logs and reports support compliance audits and improve transparency.

Transaction Trust Monitoring workflow

Data Sources & Enrichment​

Key Data Points Used​

  • Transaction amount and frequency
  • Customer risk level
  • Country indicators (IP, account, beneficiary, recipient)
  • Sanctions lists
  • Bank account details (IBAN, bank, country)
  • Behavioural metrics (velocity, dormancy, cumulative value)

Rule Categories & Business Rationale​

Shufti's Transaction Trust Monitoring (TTM) solution processes data obtained through API responses and maps it to predefined transaction parameters via transaction monitoring rules.

This enables Shufti to produce accurate, real-time transaction decisions: Approve, Decline, or Custom Review, based on risk assessment.

note

Transaction monitoring parameters and rules can be customised according to each client's requirements and industry.

Current Rule Categories​

  1. High volume deposits
  2. Age verification / minor detection
  3. Geopolitical risk analysis
  4. High-risk merchants and industries
  5. Device health
  6. Behavioural metrics
  7. Sanctions
  8. AML and fraud detection