The data privacy landscape is changing. There is a need for privacy models in the current landscape of the increasing numbers of privacy regulations and privacy breaches. Privacy methods always use models and it is important to have a common language and privacy models when defining privacy rules.
Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value.
This session will discuss practical recommendations to find the right practical balance between compliance, security, privacy, and operational requirements for each type of data and business use case. This session will also discuss Data Protection for Hybrid Cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.