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1- 🔐 Cybersecurity and Social Engineering / Main Repository

Main repository for the PUC-SP 5th Semester Academic Hub (2026) — focused on Cybersecurity & Social Engineering, featuring hands-on labs, ethical hacking simulations, AI security practices, threat analysis, and applied defense strategies aligned with real-world security scenarios.

Cybersecurity and Social Engineering Integrated Project - PUC-SP 5th Semester (2026)

Institution: Pontifical Catholic University of São Paulo (PUC-SP Humanistic AI & Data Science • 5º Semestre • 2026
School: FACEI - Faculty of Interdisciplinary Studies
Course Repo: INTEGRATED PROJECT: Cybersecurity and Social Engineering - 72 Hours
Professor: ✨ Eduardo Savino Gomes
Extensionist Activities: Social projects with open-source software for community support.

Note

⚠️ Heads Up

• Projects and deliverables may be made publicly available whenever possible.

• The course emphasizes practical, hands-on experience with real datasets to simulate professional consulting scenarios in the fields of Machine Learning and Neural Networks for partner organizations and institutions affiliated with the university.

• All activities comply with the academic and ethical guidelines of PUC-SP.

• Any content not authorized for public disclosure will remain confidential and securely stored in private repositories.

📋 Table of Contents

• Course Overview
• Core Areas
• Objective
• Core Learning Pillars
• Weekly Classes Schedule
• Folder Structure
• Related Project Repositories
• Professor Information
• Quick Start Guide
• Grading & Assessment
• Learning Resources
• Tooling Stack
• Contributing Guidelines
• License
• Repository Stats

Course Overview

This repository serves as the central academic and practical hub for a course in Cybersecurity, Social Engineering, AI System Protection, and Ethical Hacking.

It is designed to integrate theoretical foundations, applied methodologies, and real-world perspectives, preparing learners for modern security challenges.

Core Areas

• Cybersecurity Foundations — principles, threats, and defense strategies
• Social Engineering — human factors, persuasion, and attack vectors
• AI System Protection — securing intelligent systems and mitigating adversarial risks
• Ethical Hacking — penetration testing concepts and responsible exploitation

Objective

The course aims to develop a comprehensive understanding of vulnerabilities across both technical systems and human behavior, enabling learners to:

- Identify and analyze security weaknesses
- Understand attack methodologies
- Anticipate complex threat scenarios
- Design and implement effective defensive solutions

with a strong focus on AI-driven environments and emerging risks.

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Core Learning Pillars

Pillar	What You Will Master	Practical Application
Technical Cybersecurity	Firewalls, encryption, IDS/IPS, malware analysis	Securing AI infrastructures
Social Engineering	Phishing, pretexting, baiting, tailgating	Human vulnerability prevention
AI Security	Adversarial AI, model poisoning, secure ML pipelines	Protecting ML models
Hands-on Labs	Ethical hacking, penetration testing, CTF exercises	Real-world simulation

💌 Let the data flow... Ping Me !

🛸๋ My Contacts Hub

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Copyright 2026 Quantum Software Development. Code released under the MIT license.

Objective

The course aims to develop a comprehensive understanding of vulnerabilities across both technical systems and human behavior, enabling learners to:

- Identify and analyze security weaknesses
- Understand attack methodologies
- Anticipate complex threat scenarios
- Design and implement effective defensive solutions

with a strong focus on AI-driven environments and emerging risks.

💌 Let the data flow... Ping Me !

🛸๋ My Contacts Hub

────────────── ⊹🔭๋ ──────────────

➣➢➤ Back to Top

Copyright 2026 Quantum Software Development. Code released under the MIT license.