With more data being moved out of on-premise environments, data needs to be classified and secured to an appropriate level to prevent it from being compromised. This embraces the practice of assessing the risk of data loss and mitigating those risks; and applying adequate resources towards securing the data, both on-premise and in the cloud.
Cyber incidents are a fact of contemporary life, and significant cyber incidents are occurring with increasing frequency, impacting infrastructure no matter its physical location. Mitigating the loss of data is therefore a priority. And not all data is equal, some data needs to have a higher levels of security; other much lower; the cost in fact may be 10x different. What are some data strategies that practitioners can adopt to achieve this?
The session will discuss:
- Data Strategy - Big Data and Analytics
- Data Loss Prevention (DLP) strategies
- Data Classification for the Public sector
- Policy Driven Data Security