87 lines
1.8 KiB
Markdown
87 lines
1.8 KiB
Markdown
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# Worldwide AML Pattern Language (WAPL)
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## Overview
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WAPL is the global AML pattern recognition language used by DBIS to detect illicit transfers, identify layering, smurfing, structuring, flag cross-border velocity anomalies, detect SSU manipulation, and identify DeFi laundering schemes.
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## Pattern Syntax
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### Example Pattern: Circular FX Laundering
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```
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pattern CIRCULAR_FX:
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if occurs(
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FX_trade[X].pair == FX_trade[Y].pair.reverse &&
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abs(FX_trade[X].amount - FX_trade[Y].amount) < tolerance &&
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entity_link(X.entity, Y.entity) == true
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) raise_alert("Circular FX pattern detected")
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```
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### Example Pattern: High-Velocity CBDC Layering
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```
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pattern CBDC_LAYERING:
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if velocity(wallet) > threshold &&
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hops(wallet) > 4 &&
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transaction_type == "micro-split":
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raise_alert("CBDC layering risk")
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```
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## Machine-Learning Enhanced Patterns
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WAPL integrates:
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- Graph embeddings
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- Anomaly detection
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- Statistical signatures
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- Behavioral clustering
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## API Endpoints
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### Initialize WAPL
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```http
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POST /api/v1/wapl/initialize
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```
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### Get Patterns
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```http
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GET /api/v1/wapl/patterns
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GET /api/v1/wapl/patterns/:patternCode
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```
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### Match Patterns
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```http
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POST /api/v1/wapl/match/:transactionId
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```
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### Get Alerts
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```http
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GET /api/v1/wapl/alerts?status=PENDING
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```
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### Create Pattern
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```http
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POST /api/v1/wapl/patterns
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```
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## Usage Example
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```typescript
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import { waplService } from '@/core/compliance/wapl';
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// Initialize WAPL
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await waplService.initialize();
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// Match transaction against patterns
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const matches = await waplService.matchPatterns(transactionId);
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// Get alerts
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const alerts = await waplService.getAlerts('PENDING');
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```
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## Database Models
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- `WAPLPattern`: Pattern definitions
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- `PatternMatch`: Pattern match results
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- `PatternAlert`: Generated alerts
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