We developed a patent-pending algorithm to analyze 1,000+ data points, compute the risks of each publicly-reported breach, and prescribe the most important action steps. We obtain the information on the latest breaches from our nonprofit partner, the Identity Theft Resource Center, which maintains one of the most robust listings of data breach information and is updated several times per day.
Our years of experience working with professionals on the front lines of fighting fraud enables our machine learning algorithm to use advanced logic. For instance, when the algorithm ascertains social security numbers were exposed, it will make specific recommendations based on how fraudsters use SSNs. This may include applying for a tax refund or opening a new bank account. SSNs are not, on the other hand, frequently used by fraudsters to make online purchases. Because it’s built on a machine learning foundation, the algorithm becomes even more precise and intelligent with each analysis. With expert humans in the loop, new rules are added as Breach Clarity researches new breaches, new fraud scams and new forms of risk mitigation.