Gerenderde documentatie
Deze pagina rendert de Markdown en Mermaid van de module direct vanuit de publieke documentatiebron.
Overview#
The Blockchain AI Risk Scoring system delivers real-time, AI-powered risk assessment across blockchain transactions and addresses. By combining behavioral pattern analysis, anomaly detection, and predictive modeling, the platform identifies high-risk entities before they complete suspicious transactions, enabling proactive threat mitigation and regulatory compliance. AI models significantly outperform traditional rule-based systems in both detection accuracy and false positive reduction.
Key Features#
- Multi-Factor Risk Evaluation - Assesses distinct risk factors across seven categories: transaction patterns, address reputation, counterparty associations, temporal behaviors, cross-chain activities, token characteristics, and historical compliance violations
- AI-Powered Detection - Machine learning models continuously adapt to evolving threat patterns, incorporating feedback from global sanctions lists, known threat actor addresses, and real-time behavioral anomalies
- Predictive Early Warning - Predictive models identify emerging threats days before the first suspicious transaction, enabling proactive intervention
- False Positive Reduction - Behavioral analysis eliminates the majority of false alerts compared to traditional rule-based methods
- Real-Time Scoring - Enterprise-grade performance with low-latency global scoring capability for high-volume transaction environments
- Dynamic Risk Categories - Scores map to actionable risk tiers (Critical, High, Medium, Low, Minimal) with configurable thresholds for organizational risk tolerance
- Explainable Scoring - Every risk score includes a detailed breakdown of contributing factors, enabling transparent compliance decisions and audit documentation
Supported Networks#
- Major Blockchains: Bitcoin, Ethereum, Tron, BNB Chain, Solana, Cardano, Polkadot, Avalanche
- Layer 2 Solutions: Polygon, Arbitrum, Optimism, Base, zkSync Era, Starknet, Linea
- EVM-Compatible Chains: Cronos, Moonbeam, Fantom, Gnosis Chain, Aurora, Celo, and more
- Additional Networks: Ripple, Stellar, Algorand, Cosmos, Near, Tezos, Aptos, Sui
Investigation Use Cases#
Transaction Screening#
- Score every incoming and outgoing transaction in real-time before processing
- Apply risk-based transaction limits and controls based on dynamic scoring
- Automatically escalate high-risk transactions for manual compliance review
Customer Risk Assessment#
- Generate risk profiles for customer wallet addresses during onboarding
- Continuously update risk scores as customer transaction behavior evolves
- Trigger enhanced due diligence workflows when risk thresholds are breached
Sanctions Compliance#
- Incorporate global sanctions list data into risk scoring for immediate detection
- Identify indirect sanctions exposure through counterparty association analysis
- Generate compliance documentation showing risk assessment basis for each decision
Threat Intelligence#
- Detect addresses associated with ransomware, darknet markets, and fraud operations through behavioral pattern matching
- Identify mixer and tumbler usage as risk indicators for potential money laundering
- Flag cross-chain bridge activity combined with other risk factors as potential evasion behavior
Portfolio Risk Management#
- Aggregate risk scores across address portfolios for enterprise-level risk visibility
- Monitor risk score trends over time to identify deteriorating risk profiles
- Generate risk reports for board-level oversight and regulatory examination
Risk Score Categories#
- Critical (90-100) - Immediate action required; direct sanctions matches, confirmed ransomware patterns, or active exploit indicators
- High (70-89) - Manual review required; significant counterparty risk, mixer usage, or multiple risk factor convergence
- Medium (40-69) - Enhanced monitoring recommended; moderate risk indicators requiring ongoing observation
- Low (20-39) - Standard processing with logged risk indicators for trend analysis
- Minimal (0-19) - Normal processing; no elevated risk factors detected
Compliance#
- Risk scoring methodology documented for regulatory audit and examination
- Exceeds FATF standards for risk-based approach to virtual asset supervision
- Supports AML/CTF program requirements for transaction monitoring
- Complete audit trail of all risk assessments, score changes, and resulting actions
- Scoring transparency enables compliance teams to explain and defend risk decisions
- SOC 2 Type II certified infrastructure with GDPR-compliant data handling
Last Reviewed: 2026-02-05