Lesson 1:Course Introduction
1.1 Course Introduction
Lesson 2:Cybersecurity Fundamentals
2.1 Introduction
2.2 Fundamentals of Cybersecurity
2.3 Threat Actors Attacks and Mitigation
2.4 Security Policies and Procedures
2.5 Cybersecurity Mitigation Methods
2.6 Key Takeaways
Lesson 3:Enterprise Architecture and Components
3.1 Introduction
3.2 Secure Architecture
3.3 Wireless Networks
3.4 Network Security Controls
3.5 Cloud Virtualiztion BYOD and IOT Security
3.6 Security Testing
3.7 Key Takeaways
Lesson 4:Information System Governance and Risk Assessment
4.1 Introduction
4.2 Information Security Governance
4.3 Risk Management
4.4 Information Security Programs
4.5 Key Takeaways
Lesson 5:Incident Management
5.1 Introduction
5.2 Developing an Incident Management and Response System
5.3 Digital Forensics
5.4 Business Continuity and Disaster Recovery
5.5 Key Takeaways
Get started in cybersecurity: basics, tools, risk assessment, business impact analysis, and disaster recovery testing.
The course has no specific prerequisites.
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Cyber Security encompasses practices and technologies designed to protect computer systems, networks, and data from digital attacks, unauthorized access, and breaches. It involves safeguarding sensitive information through measures like encryption, firewalls, and secure coding, while addressing risks such as phishing, ransomware, and DDoS attacks. Key elements include data protection (e.g., encryption), network security (e.g., intrusion detection systems), application security, and user education. Modern challenges include rapid technological advancements, human error, and vulnerabilities from pirated software. Cyber Security ensures the confidentiality, integrity, and availability of digital assets in an interconnected world.
The cyber threat landscape is rapidly evolving, driven by sophisticated attacks like AI-powered phishing and ransomware. Organizations face increased risks from IoT devices, cloud migration, and supply chain vulnerabilities. In 2025, security budgets are projected to grow by 15%, reflecting heightened investment in AI-driven defense tools and platform consolidation. Large Language Models (LLMs) now enhance threat detection and automate responses, but also introduce new attack surfaces like AI data poisoning. Challenges include talent shortages, regulatory compliance, and balancing platform-based solutions with niche tools. Public-private collaboration and employee training remain critical to counter these threats.
Effective security protocols require layered defenses:
Risk assessments should align with frameworks like ISO 27001, while integrating AI to predict emerging threats. Employee training on phishing and password hygiene is vital to mitigate human-related risks.
Business Impact Analysis (BIA) evaluates how disruptions affect operations and finances. Key steps include:
BIA informs continuity plans, emphasizing cross-training employees and validating recovery protocols through drills.
Disaster recovery testing validates the ability to restore systems post-crisis. Methods include:
Testing ensures compliance with RTO/RPO targets and updates plans based on postmortem insights. Regular drills, combined with automated backups and geo-redundant data storage, minimize downtime and financial losses.