Every data breach is different and can pose unique risks for each individual
There isn’t a one-size fits all approach when it comes to understanding the severity of a data breach and its associated risks. That’s why we use an advanced algorithm to evaluate over 1,300 factors associated with the data breach to create its unique risk score. We then detect when a data breach has compromised an individual’s personal data on the Dark Web, determine what specific information has been impacted, and curate custom risk mitigation strategies.
How personalization works in user dashboards: Ashley and Kyle
The above screens show Ashley’s and Kyle’s individual Data Breach Exposure history. Their dashboards tell them which reported breaches have compromised their personal information. They can see the date of the breach, the known personal data types included, and the Breach Risk Rating — indicating the severity of the security incident.
Although both individuals were affected by the same CVS Pharmacy breach, only Ashley’s phone number and home address were compromised. However, Kyle’s name, home address, date of birth, and medical history were detected to have been exposed on the Dark Web. Both may experience an increase of spam, phishing, and junk mail as a result of the CVS Pharmacy data breach. Additionally, due to the exposure of his birth date and medical information, Kyle is also at risk of other potential fraud.