id:analytics

id:analytics

Identity Fraud Risk Management

Founded: 2002
HQ: San Diego / United States

ID Analytics, a Symantec company, is a leader in consumer risk management with patented analytics, proven expertise and up-to-the-minute insights. By combining proprietary data from the ID Network®—one of the largest cross-industry consumer behavioral networks—with advanced science, ID Analytics provides in-depth visibility into identity risk and creditworthiness.

Industry
  • Financial Services
  • Telecom
Primary Functionality
  • Identity & Authentication
Fraud Type
  • Account Takeover
  • New Account Fraud
  • Synthetic Identity Fraud
  • KYC & AML
Technology
  • Multi-Factor Authentication
  • Rules Engine

Reference Customer

ebay

Apple

IBM

American Express

Integration

iovation

ThreatMetrix

GDS Link

TransUnion

Fraud Solution Profile

ID Analytics’ fraud solutions help evaluate applications and account changes to protect your business. Solutions are built on the ID Network®, a cross-industry data consortium, and unique visibility across a multitude of lending and service industries. The ID Network is built on the data contributions of our clients, enabling a more accurate view of fraud risk and more legitimate customers to be automatically cleared. Manual reviews focus on the few truly high-risk applications.

ID Score® is a strong, multi-layer fraud prevention technology that evaluates identity risk based on personal information (e.g. SSN, name, address, email). It produces a single, comprehensive assessment of application fraud risk, concentrating the riskiest applications in a small percentage of the total pool.

ID Score® Rescore reruns the prior day’s applications to identify any with increasing risk. This insight into potentially fraudulent applications that were submitted at the start of fraud sprees, when less information is available, can improve fraud detection by 10-15 percent.

Additional solutions are available for Synthetic Fraud, Account Takeover, First Party Fraud/Muling, and Online Lending Fraud.

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