Module Topics: Introduction, Deployment Models, Service Models, Virtualization, Legal and Privacy Concerns, Classification of Discovered Sensitive Data, Mapping and Definition of Controls, Application of Defined Controls for Personally Identifiable Information (PII), Data Storage and Transmission, Encryption, Key Management, Masking/Obfuscation and Anonymization, Tokenization, Data Deletion Procedures and Mechanisms, Event Sources, Data Event Logging and Event Attributes, and Storage and Analysis of Data Events. Introduction covers the Five Essential Characteristics of Clouds. Deployment Models cover topics like Public, Private, Hybrid and Community Cloud, Service Models, SaaS, PaaS, and IaaS. Virtualization includes Hypervisor, and Types of Virtualization. In Legal and Privacy Concerns, you will learn about Key P&DP Questions, Country-Specific Legal Considerations, Jurisdiction and Applicable Law, Essential Requirements in P&DP Laws, Typical Meaning for Common Privacy Terms, Privacy Roles for Customer and Service Provider, Data Discovery, and Privacy Level Agreement (PLA). In Application of Defined Controls for Personally Identifiable Information (PII), you will learn about Cloud security Alliance Cloud Controls Matrix (CCM), CCM Security Domains, Data Dispersion in Cloud Storage, Threat to storage Types, Technologies Available to Address Threats, Data Loss Prevention (DLP), DLP Components, DLP Architecture, Cloud-Based DLP Considerations, and Best Practices. In Encryption, you will learn about Sample Use cases for Encryption, Cloud Encryption Challenges, Key Management, Key Storage in the Cloud, and Key Management in Software environments. In Masking/Obfuscation and Anonymization, you will learn about Data Masking/Obfuscation, Common Approaches for Data Masking, Primary Methods of Masking Data, and Data Anonymization. Tockenization covers topics like Tokenization and Cloud, Data Retention Policies, Data Deletion Procedures and Mechanisms, Disposal Options, Crypto-shredding, Data Archiving Policy, Security and Information Event Management (SIEM). Data Event Logging and Event Attributes covers topics like OWASP Recommendations, SIEM Capabilities, and SIEM Challenges.