Entity Risk Detection
by Hawk · Financial crime and fraud · Munich, Germany
Network analytics and entity intelligence to surface hidden relationships and consolidated risk views.
What Entity Risk Detection does
- Entity resolution and consolidation
- Network relationship visualization
- Entity risk scoring
- Relationship-based risk factors
- Entity network analytics
- Automated risk network generation
- Hidden connection detection
What Entity Risk Detection is used for
- Customer onboarding risk assessment
- Detecting risky connected entities
- Identifying shell company risk
- Account opening fraud detection
- Investigating hidden relationships
Who Entity Risk Detection is for
- Banks
- Payment companies
- Fintechs
- Neobanks
About Hawk
AI-powered AML, fraud detection and screening for financial institutions.
Hawk in the vendor registry: its products, features and similar vendors.
Also by Hawk
- Transaction Monitoring: AI-powered monitoring of transaction activity to detect suspicious behavior and money laundering risk.
- Customer Risk Rating: AI-driven customer risk scoring that consolidates all customer data to assess overall risk profile.
- Customer Screening: Watchlist screening to identify sanctioned entities and high-risk customers at onboarding and ongoing.
- Payment Screening: Real-time screening of payment transactions against sanctions lists to prevent illicit transfers.
- Transaction Fraud Check: AI-powered fraud detection that identifies fraudulent transactions across payment channels in real-time.
- AML AI Overlay: AI-powered enhancement layer that improves existing AML systems with advanced risk detection.
More in this category: AML, KYC and fraud detection software.
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