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Risk Intelligence

Powerful SaaS Risk Intelligence for Modern Compliance

SaaS-Powered Risk Insights, Delivered Instantly

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.

PEP Affiliations & Political Exposure

Our AI engine screens for direct and indirect relationships to Politically Exposed Persons (PEPs). This includes:

  • 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

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Sanctions & Enforcement Actions

We map and flag any association with global sanctions lists or law enforcement actions. Sources include:

  • UN, OFAC, EU, SECO, FCA, and national regulators

  • Custom sector-based sanctions screening

  • Secondary sanctions linkage (e.g., ultimate beneficial owners)

  • Historical sanctions footprint

Legal Proceedings & Litigation Risk

We extract insights from judicial and regulatory announcements to highlight exposure to legal actions. Tracked data includes:

  • Civil, criminal, tax fraud, and anti-trust actions

  • Disqualified directors and banned entities

  • Regulatory fines and settlement history

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Adverse Media & Reputational Risk

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.

Transactional Behavior & Anomalies

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

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Historical Risk Evolution

Our platform preserves risk profiles over time, enabling compliance officers to:

  • View change logs in risk score trajectories

  • Reconstruct user behavior prior to regulatory inquiries

  • Generate comparative risk heatmaps across customer cohorts

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How It Works

Angefin Risk Intelligence operates in real-time and syncs with your workflows via API, dashboard, or webhook:

  • Input Data

    Onboarded customer KYC details, transactions, documents, or CRM triggers

  • Enrichment

    System pulls external matches from media, sanctions, PEP, and litigation sources

  • Classification

    AI tags and categorizes events by domain (media, legal, political, financial)

  • Scoring

    Each signal contributes to the composite Angefin Risk Score (ARS) using weighted ML models

  • Output

    Visualized dashboard insights, risk tier classifications, and alert suggestions

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Risk Scoring Dashboard

Your compliance team can access detailed visualizations, including:

  • 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.

Real-Time Alerts & Notifications

Stay informed with event-triggered alerts:

  • 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

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Proprietary AI Models

Our risk intelligence stack uses:

  • 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.

Customization & Policy Mapping

  • 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

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Strategic Benefits

  • 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

Security & Data Integrity

  • All scoring models operate on encrypted, anonymized data

  • GDPR & ISO 27001-compliant risk log retention

  • Role-based access controls to sensitive scoring layers

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Integrate Risk Intelligence Anywhere

Available via:

  • 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)

Ready to Amplify Your Compliance Strategy?

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

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