At the recent Misti Big Data Security conference many forms of securing big data were discussed from encrypting the entire big data pool to just encrypting the critical bits of data within the pool. On several of the talks there was general discussion on securing Hadoop as well as access to the pool of data. These security measures include RBAC, encryption of data in motion between hadoop nodes as well as tokenization or encryption on ingest of data. What was missing was greater control of who can access specific data once that data was in the pool. How could role based access controls by datum be put into effect? Is such protection too expensive given the time critical nature of analytics or are there other ways to implement datum security?
Articles Tagged with big data security
A big part of the secure hybrid cloud is the need for multi-tenant analytics to determine when security events and compliance issues happen. However, analytics cover many different aspects of security within the hybrid cloud, from being a control point for compliance to handling vulnerability scanning. What are the requirements for multi-tenant analytics?