Machine Model Intelligence
Risk Assessment Intelligence
Risk scores are calculated using a sophisticated machine learning model that considers severity, frequency, and context to provide accurate 0-100 normalized scores with intelligent threat detection.
Intelligent Detection Logic
Context-AwareHigh-Risk Flagging
OFAC sanctions → Immediate critical flag
Direct hack involvement → Maximum severity
Confirmed malicious activity → Auto-flag
Intelligent Exceptions
High-reputation wallets → Context considered
Legitimate protocols (Uniswap) → Smart scoring
Indirect involvement → Nuanced assessment
Risk Level Classifications
CRITICAL
Severe threat detected
Business Impact: Immediate review required
HIGH
Elevated risk profile
Business Impact: Enhanced monitoring needed
MEDIUM
Moderate risk factors
Business Impact: Standard controls apply
LOW
Minor risk indicators
Business Impact: Basic monitoring sufficient
ML Weighting System
Machine learning model dynamically weights each label based on severity, frequency, and contextual factors to produce accurate risk assessments.
CRITICAL
Immediate attention required
HIGH
Enhanced monitoring needed
MEDIUM
Standard controls apply
LOW
Basic monitoring sufficient