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I agree when Verizon's Baker says "the bad news from this year's report is that the cybercriminals and other attackers are getting better at what they do, while the security community is not improving its game quickly enough to keep pace."
The bad news, as Wade Baker, principal author of the Data Breach Investigations Report (DBIR) series, says is that: "After analyzing 10 years of data, we realize most organizations cannot keep up with cybercrime – and the bad guys are winning."
My view is that that we are now more concerned about attackers that are targeting our data flow, including data in memory since the DBIR reported that "RAM scrapers" went from a low #17 in 2012 and shoot up the charts to a very concerning #4 spot in 2013.
My view is that that we are now less concerned about attackers that are targeting our stored data since the DBIR reported that "Capture stored data" went from a #4 in 2012 and to a less concerning #9 spot in 2013 and "Privilege abuse" went from a #14 in 2012 and to a less concerning #17 spot in 2013.
I think that file encryption will not stop the bad guys. The bad guys are no longer attacking stored data. The bad guys are now attacking the data flow, including data in memory.
My view is that we now need to secure the data flow, including data in memory. The bad guys are no longer attacking stored data.
I'm increasingly concerned about Big Data and Cloud platforms, great targets for attackers.
An important development was the addition of coarse-grained volume or file encryption will only solve one problem, protecting data at rest, but considering one of the primary goals is using the data, one might suggest that it provided little in the grand scheme of Data security. Sensitive data in use for analytics, traveling between nodes, sent to other systems, or even just being viewed is subject to full exposure.
What they're seeking is advanced functionality equal to the task of balancing security and regulatory compliance with data insights and data utility. This balance is critical for Big Data and Cloud platforms.
Emerging Big Data and Cloud platforms are presenting new use cases that are requiring data insight for analytics, high performance and scalability for Big Data platforms cannot be achieved by old security approaches. New security approaches are required since Big Data is based on a new and different architecture.
Big Data is introducing a new approach to collecting data by allowing unstructured data to be blindly collected. In many cases we do not even know about all sensitive and regulated data fields that are contained in these large data feeds. Analysis of the content is often deferred to a later point in the process, to a stage when we are starting to use the data for analytics. Then it is too late to go back and try to apply data security and compliance to regulations.
My view is that we now need to secure the data flow. The bad guys are no longer attacking stored data in files.
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