Corporate Data Security: Strategies and Implementation
( 30 Modules )

Module #1
Introduction to Corporate Data Security
Overview of corporate data security, importance, and risks

Module #2
Threat Landscape and Vulnerabilities
Common threats, vulnerabilities, and attack vectors

Module #3
Risk Management and Assessment
Risk management frameworks, risk assessment, and threat modeling

Module #4
Data Classification and Categorization
Data classification, categorization, and handling practices

Module #5
Network Security Fundamentals
Network security architectures, protocols, and technologies

Module #6
Firewall Configuration and Management
Firewall types, configuration, and management best practices

Module #7
Access Control and Identity Management
Access control models, identity management, and authentication protocols

Module #8
Encryption and Cryptography
Encryption algorithms, cryptographic techniques, and key management

Module #9
Endpoint Security and Protection
Endpoint security threats, protection measures, and best practices

Module #10
Cloud Security and Architecture
Cloud security threats, architectures, and deployment models

Module #11
Data Loss Prevention (DLP) and Encryption
DLP strategies, encryption, and data protection techniques

Module #12
Incident Response and Disaster Recovery
Incident response planning, disaster recovery strategies, and business continuity

Module #13
Compliance and Regulatory Requirements
Major regulatory requirements, compliance frameworks, and standards

Module #14
Security Information and Event Management (SIEM)
SIEM systems, log management, and threat hunting

Module #15
Penetration Testing and Vulnerability Assessment
Penetration testing methodologies, vulnerability assessment, and risk analysis

Module #16
Security Awareness and Training
Security awareness programs, training, and employee education

Module #17
Third-Party Risk Management
Third-party risk management, due diligence, and vendor management

Module #18
Implementing a Corporate Data Security Strategy
Developing and implementing a corporate data security strategy

Module #19
Security Metrics and Performance Monitoring
Security metrics, performance monitoring, and continuous improvement

Module #20
Data Security for Emerging Technologies
Data security for IoT, AI, ML, and other emerging technologies

Module #21
Cyberinsurance and Risk Transfer
Cyberinsurance, risk transfer, and financial risk management

Module #22
Global Data Protection Regulations
Global data protection regulations, GDPR, CCPA, and others

Module #23
Data Breach Response and Notification
Data breach response, notification, and crisis management

Module #24
Corporate Data Security Governance
Corporate data security governance, policies, and standards

Module #25
Security Orchestration, Automation, and Response (SOAR)
SOAR platforms, automation, and incident response

Module #26
Cloud Workload Protection Platforms (CWPPs)
CWPPs, cloud workload security, and cloud-native security

Module #27
Container Security and Microservices
Container security, microservices, and DevSecOps

Module #28
Zero Trust Architecture and Network Segmentation
Zero trust architecture, network segmentation, and micro-perimeter security

Module #29
Artificial Intelligence and Machine Learning in Security
AI and ML in security, threat detection, and incident response

Module #30
Course Wrap-Up & Conclusion
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Corporate Data Security: Strategies and Implementation ( 30 Modules )

Corporate Data Security: Strategies and Implementation
( 30 Modules )