From the University of Nebraska in the U.S. to a leading Canadian credit union, and a dustup between Tesla Motors and China’s Alibaba, insider data theft is trending in IT security anxiety. Insider data theft isn’t new, but it’s a growing problem for organizations of all types and sizes. That’s because personal and business data theft has been increasing in recent years, and many of the perpetrators are insiders.
According to a recent survey, 90 percent of organizations feel exposed to ‘insider’ data exploits.IT security professionals, as well as business leaders, are worried, and for good reason. Insider data security threats can expose organizations to data theft and many other types of cybersecurity hazards.
When we hear or read the phrase, “data breach,” it’s easy to think of bad actors wanting to harm or steal data from a business or government agency. But many data breaches occur every day. In these attacks, current or former employees steal data and try to profit from the theft. Verizon 2018 Data Breach Investigations Report cites that more than a quarter (28 percent) of attacks reported were inside jobs. And about three-quarters of these exploits were motivated by profit. “Pure fun” as the report described, was another popular motive.
Insider theft incidents can happen for many reasons. If you’re wondering why insider data theft rates are increasing, look no farther than organizations with:
However, modern DevOps security practices also use advanced monitoring and analytics tools. These advances can detect and prevent data from being accessed, manipulated, or exported by bad actors.
Technologyis a big part of the solution to insider data theft. Companies wanting to combatthis problem are building(or subscribing to)solutions based on several important capabilities. These theft-prevention solutions enable organizations to:
Now, companies can subscribe to advanced data theft mitigation services that provide these capabilities and more.
Advanced machine learning and data analytics capabilities monitorand audit behaviour patterns for suspicious activity at on-premises or cloud facilities.
By monitoring many behaviours and signatures in a wide range of data sources,these services can detect and prevent data theft incidents before they occur.And, these convenient, cost-effective cloud services can help organizations avoid the costsand risks of lost productivity, customer trust, and brand reputation.
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