GUIDE

Graph Intelligence:
A Machine Learning
Approach to Measure Risk
on Digital Identities

Large amounts of data can be valuable and daunting. Regtech promises to let you use large amounts of data to drive decisions, reduce risk and prepare compliance responses. We developed Graph Intelligence to address this promise. 


The Graph Intelligence guide provides insight into how the identityMind graph intelligence provides accurate risk assessment and how it operationalizes it so that it is not just a tool that your analysts can leverage on an escalation, but a tool that can be automatically run on the rest of your transactions for real time decisioning. It'll detail:


  • What the graph score is and how its used

  • How digital identities factor in

  • The role that machine learning plays in the process

  • And, how graph intelligence impacts key use cases

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About IdentityMind

IdentityMind supports your AML and fraud prevention needs across a range of solutions covering Know Your Customer (KYC), sanctions screening, anti-money laundering (AML) transaction monitoring, and chargeback detection. We help you ensure regulatory compliance and protect against fraud losses with our digital identities, providing the most complete picture of a customer’s risk.

Instead of analyzing entities and attributes of a transaction in isolation, IdentityMind builds and verifies identities and draws correlations with other entities and attributes such as shared physical and email addresses. Learn More.

Analyst Recognition

GARTNER
Sample Vendor in Identity Proofing and Corroboration

“Hype Cycle for Identity and Access Management Technologies, 2018”

GARTNER
Sample RegTech Vendor

“Hype Cycle for Digital Banking Transformation, 2018”

AITE GROUP
Leading AML Advanced Analytics Vendor

“The AML of Tomorrow: Here Today” 2018

INTERNATIONAL DATA CORPORATION
Innovator

“IDC Innovators: Identity Proofing Solutions to Prevent New Account Fraud and Enhance KYC Compliance, 2018"

GARTNER
Representative Vendor

“Market Guide for Identity Proofing and Corroboration" 2018