Learn the important concepts of protecting sensitive data: regulatory requirements, stakeholder alignment, data discovery, policy creation, operations, and upcoming technology and business concerns. Also, explore the methods used to secure sensitive data.
What You Will Learn:
All aspects of Data Loss Prevention (DLP), from governance, risk, and compliance, to technical planning, deployment, and operations
Exploring regulatory requirements, what they mean for your organization, and how to create a DLP program to ensure compliance and meet business requirements
Why DLP often “fails” – common pitfalls and how to avoid them
Defining and identifying sensitive data with classification and discovery tools and techniques
Designing and implementing a technical solution that works for your organization, ensuring all data is protected from unwanted exfiltration
Finding out about technological advances in computing and automation to augment manual efforts of classification and operations