Training course

Overview

Practical Data Security is a hands-on five-day professional training course designed to equip participants with practical skills for protecting organizational data across its complete lifecycle. The course moves beyond theoretical security concepts by focusing on real-world implementation of data classification, access controls, encryption, secure data handling, vulnerability management, monitoring, data loss prevention, incident response, and recovery procedures. Participants will work through realistic organizational scenarios and practical exercises that demonstrate how data security controls are designed, configured, tested, monitored, and improved.

The course provides guided experience with practical data security tools, techniques, templates, and operational procedures used by modern security and technology teams. Participants will practice building data inventories, classifying information, assessing risks, reviewing permissions, implementing secure access practices, applying encryption and masking, analyzing security logs, documenting vulnerabilities, and developing incident response workflows. Practical tools such as risk registers, data classification matrices, access review templates, security checklists, vulnerability trackers, incident logs, control assessment sheets, monitoring dashboards, and recovery checklists will be incorporated throughout the training.

Practical Data Security also develops the ability to apply established security standards and frameworks to real operational environments. Participants will work with ISO/IEC 27001, ISO/IEC 27002, the NIST Cybersecurity Framework, CIS Controls, COBIT, and Zero Trust principles while performing practical security assessments and control-mapping exercises. Case studies involving databases, cloud platforms, applications, endpoints, networks, data warehouses, and third-party environments provide opportunities to identify security gaps and implement appropriate safeguards. Exercises emphasize repeatable processes, secure configurations, documentation, testing, monitoring, and evidence-based improvement.

By the end of this practical data security training course, participants will be able to perform core data security activities, evaluate security controls, protect sensitive information, investigate security events, respond to incidents, and contribute to the continuous improvement of organizational security. The five-day program progresses from foundational hands-on activities through advanced data protection, cloud security, security monitoring, automation, resilience, Zero Trust, and security maturity practices. A final practical capstone brings the learning together through a realistic enterprise scenario requiring participants to assess risks, implement controls, investigate an incident, document findings, and develop a practical data security improvement plan.

Course Duration

5 Days (40 Hours)

Target Participants

This course is suitable for:

• Cybersecurity and information security professionals

• Data security and data protection practitioners

• IT administrators and technical support professionals

• Database administrators and data engineers

• Cloud, infrastructure, and network professionals

• Security analysts and security operations personnel

• Application and software professionals responsible for data protection

• Data management and data governance professionals

• Risk, compliance, audit, and control professionals

• Technical team leaders and supervisors

• Professionals seeking practical, hands-on data security implementation skills

Course Objectives

By the end of the training, participants will be able to:

• Identify organizational data assets, sensitive information, security risks, and common attack surfaces

• Build practical data inventories and apply appropriate data classification and handling requirements

• Perform data security risk assessments using practical risk registers, matrices, and control-mapping techniques

• Implement and review identity, authentication, authorization, MFA, least-privilege, and access-control practices

• Apply encryption, hashing, masking, tokenization, and secure data transfer techniques

• Assess and strengthen database, application, endpoint, network, and cloud data security controls

• Perform practical vulnerability identification, security configuration reviews, remediation tracking, and control testing

• Configure and use security monitoring concepts involving logs, alerts, database activity, and security events

• Develop and execute practical data loss prevention and incident response procedures

• Apply ISO/IEC 27001, ISO/IEC 27002, NIST Cybersecurity Framework, CIS Controls, COBIT, and Zero Trust principles in practical security activities

• Improve backup, recovery, resilience, privacy, third-party security, and secure data lifecycle practices

• Develop practical security improvement plans using assessment findings, evidence, metrics, and maturity analysis

Course Content

Day 1: Data Security Foundations, Data Sources, Classification, and Initial Control Implementation

Module 1: Practical Data Security Foundations and Risk Assessment

Topics

1. Introduction to Practical Data Security, Security Objectives, and the Data Protection Lifecycle
2. Identifying Data Assets, Data Sources, Data Owners, Custodians, and Critical Information
3. Building a Practical Data Inventory and Mapping Data Flows Across Organizational Systems
4. Data Classification, Sensitivity Levels, Handling Rules, Retention, and Secure Disposal
5. Identifying Threats, Vulnerabilities, Attack Surfaces, and Common Data Security Weaknesses
6. Practical Data Security Risk Assessment Using Risk Registers, Risk Matrices, and Control Assessments
7. Security Controls and Control Mapping Using ISO/IEC 27001, ISO/IEC 27002, NIST CSF, and CIS Controls
8. Secure Data Handling, File Protection, Data Transfer, Backup, and Removable Media Controls
9. Hands-On Exercise: Creating a Data Inventory, Classification Matrix, Risk Register, and Initial Security Control Plan
10. Case Study: Performing a Practical Data Security Assessment for a Departmental Information Environment

Day 2: Data Transformation, Access Control, Encryption, and Secure Integration

Module 2: Practical Data Protection, Access Management, and Secure Data Handling

Topics

1. Practical Identity and Access Management for Data Protection
2. User Provisioning, Authentication, MFA, Authorization, and Secure Account Management
3. Implementing Least Privilege, RBAC, ABAC, Segregation of Duties, and Access Review Procedures
4. Privileged Access, Service Accounts, Secrets Management, and Administrative Account Protection
5. Practical Encryption for Data at Rest and in Transit, Key Management, and Certificate Protection
6. Hashing, Digital Signatures, Tokenization, Masking, Pseudonymization, and Sensitive Data Protection
7. Secure Data Integration Through APIs, File Transfers, Databases, and Application Interfaces
8. Practical Data Loss Prevention, Secure Sharing, Data Leakage Detection, and Information Handling
9. Hands-On Exercise: Conducting an Access Review and Implementing Protection Controls for Sensitive Data
10. Case Study: Remediating Unauthorized Access and Data Exposure in a Business Application

Day 3: Database, Cloud, Monitoring, and Security Testing

Module 3: Practical Security Engineering, Monitoring, and Vulnerability Management

Topics

1. Practical Database Security Assessment, Hardening, Authentication, and Authorization
2. Database Auditing, Activity Monitoring, Logging, and Detection of Suspicious Data Access
3. Application and API Data Security Testing, Input Validation, Secure Configuration, and Common Weaknesses
4. Cloud Data Security, Shared Responsibility, Storage Protection, and Secure Cloud Configuration
5. Cloud Identity, Encryption, Key Management, Network Controls, Logging, and Configuration Monitoring
6. Endpoint and Network Data Protection, Secure Baselines, Patch Management, and Configuration Controls
7. Vulnerability Scanning, Security Assessment, Remediation Prioritization, and Verification
8. Security Logs, Alerts, Monitoring Dashboards, SIEM Concepts, and Practical Event Investigation
9. Hands-On Exercise: Performing a Security Assessment of a Database and Cloud Data Environment
10. Case Study: Detecting and Remediating a Critical Security Misconfiguration Affecting Sensitive Data

Day 4: Data Loss Prevention, Incident Response, Privacy, and Resilience

Module 4: Practical Data Security Operations and Incident Management

Topics

1. Practical Data Loss Prevention Strategies for Endpoints, Applications, Cloud Services, and Networks
2. Detecting Unauthorized Data Movement, Insider Risk, Suspicious Access, and Potential Exfiltration
3. Security Incident Identification, Triage, Classification, Documentation, and Escalation
4. Incident Response Procedures for Data Exposure, Unauthorized Access, Malware, and Ransomware
5. Containment, Eradication, Recovery, Evidence Preservation, and Post-Incident Activities
6. Security Investigation Using Logs, Audit Trails, Alerts, Access Records, and Incident Timelines
7. Data Privacy, Data Minimization, Retention, Secure Disposal, and Practical Compliance Controls
8. Backup Security, Disaster Recovery, Business Continuity, Resilience Testing, and Recovery Verification
9. Hands-On Exercise: Investigating a Suspected Data Breach and Producing an Incident Response Report
10. Incident Simulation: Detecting, Containing, Investigating, and Recovering from a Sensitive Data Security Incident

Day 5: Advanced Practical Security Engineering, Automation, Zero Trust, and Capstone

Module 5: Advanced Practical Data Security Implementation and Continuous Improvement

Topics

1. Advanced Data Security Architecture, Critical Data Protection, and Threat Modeling
2. Practical Zero Trust Implementation, Continuous Verification, Least Privilege, and Data-Centric Controls
3. Security Automation, Continuous Control Monitoring, Scheduled Assessments, and Automated Alerting
4. Advanced Cloud and Hybrid Data Security, Security Posture Management, and Configuration Assurance
5. Data Security for Analytics Platforms, Data Warehouses, Data Lakes, APIs, and Emerging Technologies
6. Third-Party and Supply Chain Data Security Assessment, Controls, Evidence, and Remediation
7. Security Testing, Control Validation, Maturity Assessment, Root-Cause Analysis, and Continuous Improvement
8. Practical Security Metrics, Control Dashboards, Findings Management, and Security Improvement Tracking
9. Hands-On Capstone: Assessing an Enterprise Data Environment, Mapping Controls to ISO/IEC 27001, NIST CSF, CIS Controls, and Zero Trust, and Developing a Remediation Plan
10. Final Practical Simulation: Investigating a Multi-Stage Data Security Incident, Implementing Corrective Controls, Documenting Evidence, and Presenting a Comprehensive Security Improvement Plan