Despite an increase in cyberattacks, only 20% of organisations in the US say that they have been more effective at stopping them, according to a new report. The greatest riks factors are mobility, lack of visibility and global interconnected systems.
The report by Teradata and the Ponemon Institute also revealed that about 56% of organisations are dealing with the technologies that offer big data analytics, while 61% believe this can help solve pressing security issues.
About 61% of organisations suggested that they will implement big data analytics in future.
Less than half of organisations are vigilant in preventing anomalous and potentially malicious traffic from entering networks (42%) or detecting such traffic (49%) in their networks.
About 82% of organisations would like big data analytics incorporated with anti-virus/anti-malware, while 80% believe anti-DoS/DDoS would make their organisations more secure.
Teradata Enterprise Risk Management director Sam Harris said that the Ponemon study is a wakeup call. "Enterprises must act immediately to add big data capabilities to their cyber defense programs to close the gap between intrusion, detection, compromise and containment," Harris said.
"When multi-structured data from many sources is exploited, organizations gain a very effective weapon against cyber-crimes."
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According to the research firm, the existing IT security practitioners consider network data to offer both an opportunity and a challenge while many organisations face problems with in-house technology and skill sets.
Big data analytics are expected to fill the existing gap between technology and cyber defence by helping to capture, process and refinine network activity data, and applying algorithms for near-real-time review of every network node.
Big data analytics in cyber defence would facilitate recognising patterns of activity that represent network threats for rapid response to anomalous activity.
"Many security teams have realized that it is no small feat to quickly sift through all of their network data to identify the 0.1 percent of data indicating anomalous behavior and potential network threats," Harris said.
"Cyber security and network visibility have become a big data problem. Organizations entrusted with personal, sensitive and consequential data need to effectively augment their security systems now or they are putting their companies, clients, customers and citizens at risk."
