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Corporate pre-crime: The ethics of using AI to identify future insider threats

To protect corporate networks against malware, data exfiltration and other threats, security departments have systems in place to monitor email traffic, URLs and employee behaviors. With artificial intelligence (AI) and machine learning, this data can also be used to make predictions. Is an employee planning to steal data? To defraud the company? To engage in insider trading? To sexually harass another employee?

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3 reasons companies fail to assess the scope of a data breach

First comes the embarrassing breach announcement. Then, a few days or weeks later, another one — a few million stolen records were missed the first time around. Then another announcement, with another upward correction. With each new revelation, the hacked organization loses credibility and faces greater liability. To read this article in full, please click

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