Redefining Security for Big Data - Cassandra Summit 2013
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Big data security needs to evolve to address new challenges. Traditional security approaches are insufficient for data that moves frequently between systems and locations for analysis and presentation. Next-generation security must consistently associate access controls and identities with data as it moves and changes formats to ensure proper access and prevent leaks.
Redefining Security for Big Data - Cassandra Summit 2013
- 1. Redefining Security for Big Data Joey Jablonski Product Management Dell, Inc. linkedin.com/in/joeyjablonski @jrjablo jrjablo@gmail.com
- 2. The Problem Today Movement, Analysis, Presentation Security Magic
- 3. Security context needs to be sent with the data Identities need to be consistent Data + Data has to be managed Public Data Public Data Restricted Data
Editor's Notes
- #3: Todays security environment for Big Data has several characteristics:Grown organicallyLimited consistency in authentication, authorization and auditingEvery time data is migrated, ACLs and context is lostData can easily be combined in ways never expected
- #4: The solution to the growing challenge has three components:Security context needs to be sent with the data – When ETL or ELT operations move data between environments, the context and permissions should be sent with the data, in a standard format to allow other applications to enforce policies already in placeIdentities need to be consistent for both access and auditing of dataData needs to be managed to ensure that if combined with other silos, access and policies are enforced with the newly combined data which could have alternate policies for access and control