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Angefin's Risk Intelligence module empowers compliance teams with real-time, multidimensional risk scoring and profiling. Built on our proprietary AI architecture, this module dynamically assesses and updates customer and entity risk profiles using diverse, high-impact data streams. Designed to serve both onboarding assessments and ongoing monitoring, our Risk Intelligence engine turns scattered compliance signals into structured, actionable intelligence.
Global coverage of over 1.5 million known PEPs
Family members and known associates
Matching across multiple transliterations and alias variants
Country risk scoring based on political stability indices


UN, OFAC, EU, SECO, FCA, and national regulators
Custom sector-based sanctions screening
Secondary sanctions linkage (e.g., ultimate beneficial owners)
Historical sanctions footprint
Civil, criminal, tax fraud, and anti-trust actions
Disqualified directors and banned entities
Regulatory fines and settlement history


Our NLP-powered MediaGuardian engine continuously monitors over 30,000 media outlets and regulatory websites for any reputationally harmful news.
Media categories include:Financial crime (e.g., fraud, money laundering, embezzlement)
Terrorism affiliations
Corruption and abuse of office
Environmental, social, and governance (ESG) violations
Misinformation campaigns or public backlash
Each mention is classified by sentiment, source credibility, and context to form a risk-weighted score.
Risk scoring incorporates behavioral analysis across financial and non-financial activity.
Unusual transaction frequency, amount, or location
Transaction structuring or pattern obfuscation
Velocity scoring and transaction network mapping
Account sharing or mule indicators


View change logs in risk score trajectories
Reconstruct user behavior prior to regulatory inquiries
Generate comparative risk heatmaps across customer cohorts

Onboarded customer KYC details, transactions, documents, or CRM triggers
System pulls external matches from media, sanctions, PEP, and litigation sources
AI tags and categorizes events by domain (media, legal, political, financial)
Each signal contributes to the composite Angefin Risk Score (ARS) using weighted ML models
Visualized dashboard insights, risk tier classifications, and alert suggestions

Entity and relationship graphs
Category-specific risk weights (e.g., Sanction 30%, Media 25%)
Timeline view of incidents and risk peaks
Segment-by-segment risk comparison (e.g., B2B vs Retail)
The dashboard supports drill-down capability on each risk component and cross-referencing with audit logs.
Threshold breach notifications (e.g., ARS > 75)
Instant webhook delivery to CRM, ticketing, or case systems
Rule-based routing (e.g., High-risk -> Compliance Officer A)
Alert deduplication and prioritization logic


Gradient Boosted Decision Trees for event classification
Dynamic Embedding Models for name/entity disambiguation
Time Series Risk Regression for forecasting risk elevation
Graph-Based Entity Resolution to detect networks and hidden relationships
These models are retrained monthly using anonymized global risk signals to remain adaptive to evolving patterns.
Create custom scoring rules (e.g., give more weight to PEP or ESG)
Align risk thresholds with your internal compliance policy
Export scoring models for regulator audits or board reporting
Integrate third-party data feeds into scoring logic


Cut false positives by up to 60% through smarter profiling
Pre-empt regulatory penalties with real-time exposure detection
Reduce manual review times by surfacing relevant incidents
Consolidate media, sanctions, PEP, and behavior into one score
Simplify internal audits with historical risk score evolution logs
All scoring models operate on encrypted, anonymized data
GDPR & ISO 27001-compliant risk log retention
Role-based access controls to sensitive scoring layers


Angefin Dashboard (no-code visual control center)
REST API (developer-friendly, JSON-formatted responses)
Webhooks (for real-time alert delivery to your internal tools)
Bulk file ingestion (CSV/JSON for historic reviews)
Angefin Risk Intelligence enables proactive compliance. Rather than react to risk after the damage is done, anticipate it ; use structured scoring, predictive modeling, and ongoing monitoring to protect your business … and your reputation.
Contact us to schedule a personalized walkthrough or sign up for an API sandbox and experience real-time risk scoring in action.
PEP affiliations, sanctions, and legal risks
Behavioral anomalies from transaction patterns
Adverse media risk classification (financial crime, terror links, corruption, etc.)
Historical risk evolution per customer or entity
