Duration

DATA SECURITY AND MANAGEMENT

2 days

Module 1: Introduction to DATA Security

Key principles of data security
Overview of key concepts: confidentiality, integrity, and availability (CIA triad).
Principle of least privilege and need-to-know basis.
Key principles and requirements of data protection laws related to information security.

Importance of data classification and handling procedures.
Role-based access control (RBAC) and least privilege principles for managing access permissions.
Authentication methods and techniques for verifying the identity of users accessing personal data.
Implementing access control mechanisms to restrict unauthorized access to personal data.
Introduction to multi-factor authentication (MFA) and its importance.

Introduction to risk management principles and methodologies
Role of risk assessment in making informed decisions about data security
Identifying and assessing risks associated with data and those associated with third-party.
Developing risk mitigation strategies to protect data from security threats.

Overview of GDPR, PDPA, HIPAA, and other relevant regulations.
Understanding the role of information security management in protecting data
and governance framework for data protection
Implementing privacy policies, procedures, and controls to ensure data security and data privacy.
Roles and responsibilities of data protection officers and privacy champions in managing security risks.
Compliance obligations for organizations handling personal data in a secure manner.
Impact of non-compliance and potential penalties.

Best practices for securely handling and processing data.
Introduction to encryption: fundamentals.
Encryption techniques for protecting personal data in transit and at rest.
Secure coding practices and secure software development lifecycle (SDLC) considerations for protecting data.

Overview of security technologies and tools for data security
Importance of endpoint security
Anti-virus software and regular updates
Best practices for securing devices
Utilizing data loss prevention (DLP) solutions to prevent data leaks and unauthorized disclosures.

Developing an incident response plan for managing data breaches and security incidents
Importance of data backup and recovery planning.
Notification requirements and procedures for reporting data breaches to regulatory authorities and affected individuals.
Conducting post-incident reviews and lessons-learned sessions to improve incident response capabilities.

Ethical considerations in the handling and processing of data
Recognizing common social engineering techniques: phishing, pretexting, tailgating, etc.
Tips for avoiding social engineering attacks in protecting personal data.
Introduction to threat landscape: malware, phishing, ransomware, etc.
Discussion on data breaches and their causes.
Emerging trends in data security awareness

ACTIVITIES

Group discussions and workshops on applying data security principles.
Hands-on exercises and simulations of data breach response scenarios
Project: Developing a comprehensive data security management plan incorporating industry data management principles.

Programme scope, delivery arrangements and suitability are confirmed during enquiry.