📌 Module Description This module introduces learners to how modern digital systems actually function in real-world production environments. Students explore internet architecture, system layers (frontend, backend, database), API communication flows, and cloud infrastructure fundamentals. The goal is to build a structural understanding of how applications operate behind the scenes — and where vulnerabilities or failures may occur. 🎯 Learning Outcomes By the end of this module, learners will be able to: Explain how DNS, HTTP/HTTPS, TCP, and CDN systems operate Differentiate frontend, backend, and database layers Interpret a real API request and response structure Diagram a complete application architecture flow Identify potential system failure or exposure points 🛠 Practical Exercise Students will map the architecture of a real-world application (e.g., social platform, hospital portal, or e-commerce system), identify all infrastructure components, and highlight possible risk areas.

Module Description This module develops an ethical attacker mindset by examining how systems become compromised. Learners analyze common breach root causes, attack surfaces (login forms, APIs, cloud misconfigurations, human error), and real phishing workflows. The module emphasizes structured vulnerability identification and risk prioritization. 🎯 Learning Outcomes Identify primary system attack surfaces Explain common breach causes and misconfigurations Analyze phishing attack flow and social engineering tactics Conduct a basic exposure scan conceptually Prioritize vulnerabilities using risk levels 🛠 Practical Exercise Students will analyze a fictional company’s technology stack, map its attack surfaces, and produce a short vulnerability assessment report with recommended mitigation steps.

Module Description This module focuses on core security engineering principles including authentication, authorization, password hashing, encryption fundamentals, and secure system design. Learners examine secure login flows and understand how modern security failures occur when authentication mechanisms are poorly implemented. 🎯 Learning Outcomes Differentiate authentication and authorization mechanisms Explain secure login flow architecture (JWT, RBAC, MFA) Describe proper password hashing and cryptographic practices Identify OWASP-aligned authentication risks Design a secure authentication workflow diagram 🛠 Practical Exercise Students will design a secure login flow diagram including validation layers, hashing mechanisms, token issuance, and failure handling paths.

Module Description This module examines real-world security failures in widely used services such as GitHub, OAuth (Google Auth), Stripe, Cloudflare, and email systems. Learners analyze misconfigurations, secret exposure, client-side trust issues, and infrastructure bypass techniques. The emphasis is on actionable hardening before production deployment. 🎯 Learning Outcomes Identify secret leakage risks in version control systems Explain OAuth flow vulnerabilities and secure implementation practices Prevent client-side price manipulation in payment systems Secure cloud origin servers against direct exposure Apply email authentication controls (SPF, DKIM, DMARC) 🛠 Practical Exercise Students will complete a structured service hardening checklist and identify vulnerabilities in a simulated deployment scenario.

Module Description This module introduces modern AI-assisted security automation frameworks. Learners explore Playwright browser testing, AI security agents, MCP architecture concepts, CI/CD security gates, and the evolving AI threat landscape. The module emphasizes understanding automation while maintaining human oversight. 🎯 Learning Outcomes Explain the role of automated browser testing in security Describe the architecture of AI security agents Understand SARIF reporting and CI/CD security gates Identify emerging AI-era threat vectors Differentiate between AI-automated tasks and human judgment responsibilities 🛠 Practical Exercise Students will simulate a mini AI-driven security audit and analyze automated findings for accuracy and relevance.

The final capstone integrates system architecture analysis, vulnerability mapping, data interpretation, and service hardening strategies. Students evaluate a simulated small business digital environment, identify risks, analyze data patterns, and propose security improvements.