Risks associated with Big Data

Every second social networking sites like Facebook, Flickr, Foursquare, Google+ etc. are collecting enormous amount of personal data about us. 

In theory most of the web browsers track our online web browsing behavior and are owner of this information. In fact the current regulation allows these companies to use the information as per their need, which lead to big privacy issues for end users and is a matter of great concern. 

In the video bellow, the specialist Rick Smolan discusses risks associated with big data.

Steps to build a Big Data Security Program:

a)    Setup a holistic cyber security strategy: Organization should setup a security strategy customized for the specifics risks, threats and needs applicable to them.

b)    Establish a shared data architecture:  Since big data requires data to be captured from multiple sources each having their own format and data encryption methodology using a single architecture with multiple level encryption will enhance the overall security and allow all the information to be captured, shared and analyzed in a logical manner.

c)    Migrate from point product to unified security architecture: Traditionally it has been seen that the benefit of unifying the individual data architecture for security analytics outweighs the cost of preserving individual architecture of existing point products.  

d)    Look for open and big data security tool: Organization should constantly invest in security products using agile analytic based approaches which will allow the architectural flexibility required to make quick changes incases of security threats.

e)    Leverage External Threat Intelligence. One should augment internal threat analysis with external threat analysis services. Often external intelligence feeds can prevent security breaches and allow companies the necessary time to fix the gaps.

 References: 

http://www2013.org/

http://www.emc.com/

http://www.informatica.com/