Businesses are eager to migrate to the cloud for easier big data management mining, but many haven’t implemented theproper security solutions to keep up with growing threats.
In order to provide value to the enterprise, big data demands cloud services for enhanced analytic features and storage capacity. However, according to the advisory body for the European Network and Information Security Agency (ENISA), cloud computing and an increasingly mobile workforce with bring-your-own-device policies threaten data security when channels are improperly monitored. ENISA’s warnings included a rise in potential attacks that target company databases with immature security controls and lesssophisticated technology to enforce protection policies.
A predictive approach
A rise in concern for the big data security will result in a re-assessment of strategies designed with the objective of identifying and adapting to unknown risk factors before they cause potential database breaches.
A recent report from the RSA, the Security Division of EMC, maintained that every aspect of information security will require changes this year with big data infiltration. RSA was adamant in the report that while traditional tools for managing and analyzing data on-site were adequate, big data has changed the shape of security demands. Businesses will need to leverage database experts for closer monitoring of networks. Sam Curry, chief technology officer for RSA, commented on the evolving security landscape.
“Big data is being applied in new ways to enable security controls that are adaptive, risk-based and self-learning so that security is continuously evaluated and the level of protection is automatically adjusted based on changing environmental and risk conditions. The discovery of and response to threats and fraud therefore can become more predictive as a richer view of user identities and complex data flows comes together to give a data-driven perspective of what normal versus aberrant behavior looks like,” he explained.
RSA expects that in the next three to five years, security services will need to be capable of intelligent, multi-factor user authentication and identity management to ensure that only authorized users have access to sensitive information.
An efficient big data management strategy places a high priority on security tools that are flexible and continually adjust to changing business demands and security threats. Since most enterprises lack professionals that are capable of both efficiently analyzing data and enforcing protection, big data will necessitate remote database services to complement security policies.
Businesses that do not take advantage of virtualized analytics forbig data risk losing a competitive edge in the marketplace. Big data mining efforts are futile, however, unless sufficient technological support is available to guarantee that critical information is protected.