IBM Security Tool Can Flag 'Disgruntled Employees' - The CIO Report - WSJ - 0 views
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A new International Business Machines Corp.IBM -0.15% security tool uses Big Data to help CIOs detect internal and external security threats in new ways—and can even scan email and social media to flag apparently “disgruntled” employees who might be inclined to reveal company secrets
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The new tool, called IBM Security Intelligence with Big Data, is designed to crunch decades worth of emails, financial transactions and website traffic, to detect patterns of security threats and fraud.
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the new platform, based on Hadoop, a framework that processes data-intensive queries across clusters of computers, will allow CIOs to conduct sentiment analysis on employee emails to determine which employees are likely to leak company data,
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The platform also helps companies protect against hacker attacks and fraud by allowing security personnel to look for patterns in past attacks
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More and more companies are using Big Data to discover the pattern of security lapses as they struggle to keep up with emerging threats.
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I believe every business, especially if it is a huge corporation, should protect and control their company's data. A company's data falling into the wrong hands can be a huge drawback for the company, especially if it comes into contact with a competitor. This article explains how IBM have introduced a new security tool with Big Data to identify any suspicious internal and external security threats as well as flag any company secrets from displease employee's emails and their social medias. The new system can alert any frauds and risks from decade worth of emails, financial transactions, and websites. CIOs will be able to conduct a sentiment analysis on employees to see which worker is the most likely to expose company's information. Some can argue that employees have the right to post anything on their social media's accounts but if an employee still is employed by the company then it should be all bets off. The company should have all rights in making sure their information does not get leaked out by an employee who is simply having a bad day.