What is Collaborative Identity Intelligence?
Collaborative Identity Intelligence is the process financial companies use to detect, assess and monitor customer fraud risk through a process of PII secure information sharing and analysis.
How does Collaborative Identity Intelligence work?
Collaborative Identity Intelligence takes the following steps for retrieving and sharing fraudulent customer information:
- Identity data is submitted by a financial institution for validation within the fraud network via secure API communication.
- PII data is anonymized by Security Nodes before being sent to the network.
- Intel from the network indicating potential fraud is returned
- A risk score is generated to the institution based on the nature and likelihood of potentially
fraudulent activity - Automation rules are created to expedite approval or rejection of applications based on risk thresholds
- Alerting and priority review queue for analyst intervention
- Verified results are fed back through the secure API to update and enrich the network intelligence
What are the key features of a Collaborative Identity Intelligence solution?
Secure Info-Sharing
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- PII anonymized consumer data for sharing fraud intelligence
- Continuous fraud network monitoring & alerting
- Seamless Integration into existing systems
Sophisticated Fraud Detection
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- Collaborative Machine Learning Risk Scoring Models
- Risk Attribute Transparency
- Analyst-in-the-loop optimization
Automation & Efficiency
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- Flexible Automation Rules
- Prioritized alerts
- Guided reviews
What are the benefits of a Collaborative Identity Intelligence solution?
- Increase and accelerate the detection, verification and prevention of fraud
- Collaborate between fraud and data teams for improved internal modeling
- Reduce the cost and time of fraud investigation
How do I get started using a Collaborative Identity Intelligence solution?
For a full demonstration of the FiVerity platform, contact a representative through our Contact Us form.