Information and Data Security Professional

Course Outline

1. Introduction to Information Security

• Definition and importance of information security
• Security goals: Confidentiality, Integrity, Availability (CIA Triad)
• Threats, vulnerabilities, and risks
• Cybersecurity vs Information Security
• Overview of security domains

2. Security Governance and Risk Management

• Information security governance frameworks
• Risk management process
• Risk assessment and treatment
• Security policies, standards, and procedures
• Business continuity and disaster recovery basics
• Compliance requirements

3. Legal, Regulatory, and Ethical Issues

• Data protection and privacy principles
• Global regulations (GDPR, ISO 27001 overview)
• Local data protection considerations
• Ethical responsibilities of security professionals
• Handling sensitive and classified data

4. Security Architecture and Design

• Secure system design principles
• Defense-in-depth strategy
• Security models (Bell-LaPadula, Biba)
• Zero Trust architecture
• Secure network architecture concepts

5. Network Security Fundamentals

• Network threats and attack types
• Firewalls and firewall types
• IDS/IPS systems
• VPN technologies
• Network segmentation
• Secure protocols (HTTPS, SSH, TLS)

6. Endpoint and Device Security

• Endpoint protection platforms (EPP/EDR)
• Antivirus and anti-malware concepts
• Mobile device security (MDM)
• Patch and vulnerability management
• Hardening operating systems

7. Identity and Access Management (IAM)

• Authentication methods (MFA, biometrics)
• Authorization models (RBAC, ABAC)
• Single Sign-On (SSO)
• Privileged Access Management (PAM)
• Account lifecycle management

8. Cryptography and Data Protection

• Encryption fundamentals
• Symmetric vs asymmetric encryption
• Hashing and digital signatures
• Public Key Infrastructure (PKI)
• Data classification and handling
• Data Loss Prevention (DLP)

9. Application and Cloud Security

• Secure software development lifecycle (SSDLC)
• OWASP Top 10 overview
• API security basics
• Cloud service models (IaaS, PaaS, SaaS)
• Shared responsibility model
• Cloud security controls

10. Security Operations and Monitoring

• Security Operations Center (SOC) functions
• Log management and SIEM
• Threat intelligence basics
• Vulnerability scanning
• Continuous monitoring

11. Incident Response and Digital Forensics

• Incident response lifecycle
• Detection, containment, eradication, recovery
• Evidence collection and chain of custody
• Forensic tools overview
• Post-incident review and lessons learned

12. Data Security Management

• Data lifecycle management
• Data classification schemes
• Database security fundamentals
• Backup and recovery strategies
• Protecting data at rest, in transit, and in use

13. Human Factor and Security Awareness

• Social engineering attacks
• Phishing and insider threats
• Security awareness programs
• Building a security culture

14. Emerging Technologies and Security Trends

• AI and cybersecurity
• IoT security challenges
• Zero Trust adoption
• Threat landscape evolution
• Future of data protection

15. Practical Labs and Capstone Project

• Risk assessment exercise
• Network security configuration
• Log analysis and incident investigation
• Data protection implementation scenario
• Final security assessment report

Learning Outcomes

By the end of the course, learners should be able to:

• Protect organizational information assets
• Identify and mitigate security risks
• Implement core security controls
• Manage incidents and respond effectively
• Ensure compliance with data protection standards