Category: Risk Management

• 

  February 16, 2023

  Name Matching Helps Remittance Companies Curtail Fraud

  A global economy with great ethnic and linguistic diversity poses a difficult challenge for remittance businesses as they must verify names for fraud, money laundering, and errors.

  View Post
• 

  December 19, 2022

  Is Your Customer Credit Worthy? NetOwl Helps You Figure It Out

  From credit card fraud to AML, the risks are plenty for any company issuing credit. How can lenders be more certain that a person is who they say they are?

  View Post
• 

  November 10, 2022

  Entity Extraction Helps Identify Compromised Data after a Data Breach

  After a cyber attack, it is critical to be able to identify names and other exposed PII for mitigation steps and prompt notification to the affected parties.

  View Post
• 

  August 31, 2022

  Entity Extraction Enables Effective Redaction for Data Protection

  Want to protect your sensitive data from insider threats, data breaches, and data leaks? Think redaction.

  View Post
• 

  August 15, 2022

  The Complexities of Building Your Own Name Matching System

  Here are some pitfalls to consider if you are weighing whether to build your own Name Matching system

  View Post
• 

  July 29, 2022

  Reduce Customer Churn with Sentiment Analysis

  Whether in an economic downturn or competitive market, keeping your existing customers happy may be critical to your business survival and success.

  View Post