Research firm Gartner said that big data analyticswill play a crucial role in detecting crime and security infractions. By 2016, more than 25 percent of global firms will adopt big data analytics for at least one security and fraud detection use case, up from current eight percent.
Avivah Litan, vice president and distinguished analyst at Gartner said big data analytics gives enterprises faster access to their own data than ever before. Big data analytics enables enterprises to combine and correlate external and internal information to see a bigger picture of threats against their enterprises. It is applicable in many security and fraud use cases such as detection of advanced threats, insider threats and account takeover.
She said information needed to uncover security events loses value over time, and timely intelligent data analysis is critical as criminals and bad actors move much more quickly to commit their crimes. For example, a year or two ago, hackers would look around, conduct extensive cyberespionage on their targets, and then go in for the theft — whether it was for money or information. Now, hackers — aware of more-effective security and fraud prevention measures erected by their target victim enterprises — simply go directly to the theft without a drawn-out reconnaissance phase.