In the Ann Arbor, Mich.-based headquarters of Quadmetrics, a team of researchers aims to develop a pre-crime system for organizations at risk of data breaches. Representatives of the startup told the Wall Street Journal their algorithm should predict the likelihood of an organization suffering a breach in the next year with greater than 90 percent accuracy.
"We can notice that the windows are open, the doors are ajar or you only have one lock instead of two or your garage door is open," Wesley Huffstutter, CEO of Quadmetrics, told WSJ, comparing the company's outlook to that of a home security firm.
The company has partnered with Ann Arbor-based University of Michigan, backed by a Department of Homeland Security grant, to research the best practices and metrics to assess for symptoms that could be leading up to data breaches. While Quadmetrics' risk predictions are still not good enough to be actionable, it is starting a discussion among many organizations about cybersecurity risk, Ryan Vela, regional director for Fidelis Cybersecurity, which uses the software for its clients, told WSJ.
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