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Abstract Blue Light
Certified Data Privacy & Security Professional

Target Students​

  • Data privacy officers, security professionals, compliance officers, and IT managers responsible for safeguarding data and ensuring compliance with data protection regulations.

Duration :  40 hours (5 days)
Learning Objectives

  • Understand the principles of data privacy and security.

  • Learn to design and implement data protection strategies.

  • Gain skills in managing data breaches, risk assessment, and incident response.

  • Develop strategies to ensure compliance with global data protection regulations.

  • Prepare for certification exams and real-world data privacy and security challenges.

Exam Codes: DPS-806
Exam Duration: 2 hours
Exam Formats​
 

  • 100 multiple-choice questions

Exam Options​
 

  • Online

  • In-Person

Passing Score​​: 70% 
Course Outline
 
Foundations of Data Privacy and Security
​
Module 1: Introduction to Data Privacy
​

  • Understanding Data Privacy

    • Overview of Data Privacy Concepts and Terminology

    • The Importance of Data Privacy in the Digital Age

    • Key Principles of Data Privacy: Data Minimization, Purpose Limitation, Consent

  • Data Privacy Regulations and Standards

    • Overview of Global Data Privacy Laws: GDPR, CCPA, HIPAA

    • Understanding Compliance Requirements

    • Case Study: Implementation of GDPR Compliance in a Multinational Organization

​Module 2: Introduction to Data Security
​

  • Understanding Data Security

    • Core Concepts of Data Security: Confidentiality, Integrity, Availability (CIA Triad)

    • Common Threats to Data Security: Malware, Phishing, Ransomware

    • Overview of Data Security Standards: ISO/IEC 27001, NIST Cybersecurity Framework

  • Security Frameworks and Models

    • Implementing Security Frameworks: Zero Trust, Defense in Depth, Least Privilege

    • Risk-Based Approach to Data Security

    • Case Study: Implementing a Data Security Framework in a Financial Institution

Data Protection Strategies
Module 3: Data Encryption and Cryptography
​

  • Understanding Cryptography

    • Introduction to Cryptographic Concepts: Symmetric and Asymmetric Encryption, Hashing

    • Implementing Encryption: SSL/TLS, AES, RSA

    • Data-at-Rest and Data-in-Transit Encryption

  • Advanced Encryption Techniques

    • Public Key Infrastructure (PKI) and Digital Certificates

    • Blockchain and Distributed Ledger Technology in Data Security

    • Case Study: Implementing Encryption for Secure Data Storage and Transmission

Module 4: Access Control and Identity Management
​

  • Identity and Access Management (IAM)

    • Principles of IAM: Authentication, Authorization, and Accounting (AAA)

    • Implementing Multi-Factor Authentication (MFA) and Single Sign-On (SSO)

    • Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC)

  • Data Access Controls

    • Implementing Data Access Policies and Procedures

    • Monitoring and Auditing Access to Sensitive Data

    • Case Study: Identity and Access Management in a Cloud Environment

Risk Management and Incident Response
Module 5: Risk Management and Incident Response
​

  • Conducting a Data Risk Assessment

    • Identifying and Classifying Data Assets

    • Assessing Threats, Vulnerabilities, and Potential Impact

    • Prioritizing Risks and Developing Mitigation Strategies

  • Risk Management Frameworks

    • Implementing Risk Management Standards: ISO 31000, NIST Risk Management Framework (RMF)

    • Continuous Risk Monitoring and Review

    • Case Study: Data Risk Assessment in a Healthcare Organization

Module 6: Incident Response and Data Breach Management
​

  • Developing an Incident Response Plan

    • Key Components of an Incident Response Plan: Preparation, Detection, Containment, Eradication, Recovery

    • Incident Response Team Roles and Responsibilities

    • Best Practices for Effective Incident Response

  • Managing Data Breaches

    • Legal and Regulatory Requirements for Data Breach Reporting

    • Steps for Containing and Mitigating the Impact of a Data Breach

    • Case Study: Responding to a Data Breach in a Large Organization

Compliance and Legal Considerations
Module 7: Data Privacy Compliance
​

  • Navigating Global Data Privacy Regulations

    • Detailed Overview of Key Data Privacy Laws: GDPR, CCPA, HIPAA

    • Ensuring Compliance with Data Protection Regulations

    • Strategies for Cross-Border Data Transfers: Standard Contractual Clauses (SCCs), Binding Corporate Rules (BCRs)

  • Data Privacy Impact Assessments (DPIA)

    • Conducting a DPIA: Identifying Risks to Data Subjects

    • Implementing DPIA Findings: Mitigation Measures and Reporting

    • Case Study: DPIA in Practice for a New Product Launch

Module 8: Legal Aspects of Data Privacy and Security
​

  • Understanding Legal Requirements

    • Legal Implications of Data Privacy Violations: Fines, Penalties, and Reputational Damage

    • Contracts and Service Level Agreements (SLAs) in Data Security

    • Intellectual Property Considerations in Data Security

  • Ethical Considerations in Data Privacy

    • Balancing Data Utilization with Privacy Rights

    • Ethical Issues in Data Collection and Usage: Informed Consent, Transparency, and Accountability

    • Case Study: Ethical Dilemmas in Data Privacy and Security

Advanced Topics and Capstone Project
Module 9: Emerging Trends in Data Privacy and Security
​

  • AI and Data Privacy

    • Impact of Artificial Intelligence and Machine Learning on Data Privacy

    • Implementing Privacy-Preserving AI Techniques: Differential Privacy, Federated Learning

    • Case Study: Privacy Challenges in AI-Driven Analytics

  • Cloud Security and Privacy

    • Securing Data in Cloud Environments: Encryption, Access Control, and Monitoring

    • Privacy Challenges in Cloud Computing: Data Ownership, Compliance, and Jurisdiction

    • Case Study: Cloud Security Best Practices for a Global Enterprise

Module 10: Capstone Project and Exam Preparation
​

  • Capstone Project

    • Participants Work on a Comprehensive Data Privacy and Security Project

    • Application of Skills Learned: Risk Assessment, Encryption, Compliance, Incident Response

    • Peer Review and Feedback on Project Work

  • Exam Preparation and Review

    • Review of Key Concepts Covered During the Course

    • Sample Exam Questions and Discussion

    • Final Q&A Session and Wrap-Up

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