Data breaches unfortunately can happen to anyone, and in the most recent one in January 2019, there were 773 million email addresses and 21 million passwords compromised. This is an ongoing issue that has impacted both consumers who want to keep their data private, and businesses who are committed to keeping their fraud mitigation strategies as powerful as possible.
While it’s tragic that this continues to happen, it’s one of the reasons why Ekata doesn’t rely on a single data source. In order to get the most complete picture possible, we compare the linkages between email, name, phone, address, and IP to help our customers mitigate fraud as much as we can.
Here’s an example: someone who has stolen an email address attempts to purchase an item online and puts in their legit contact information with the stolen email address. By linking the name to the email address, we can see that they do not match and would give them a higher confidence score number indicating a higher probability of fraud.
Ekata has never relied on scraping or free APIs to build our products, our dynamic Confidence Score, or to determine the risk behind an email address. Because of this, our solutions and identity data remain unscathed by these changes, which is why we’re working around the clock with customers and prospects that now find themselves without a key part of their risk assessment toolkit.
To provide the best global identity verifications solution to our customers, we build our products from only the highest quality data and use sophisticated data science to ensure accuracy, stability, and scale in our solutions. We do this by applying pattern recognition, predictive analytics, and machine learning to the five core consumer data attributes of email, phone, person, physical address, and IP to deliver an accurate indicator of risk on any transaction.