Detailed Course Outline
1) Introduction to Cyber Security
- Definition and Scope of Cyber Security
- Key Cybersecurity Concepts
- CIA Triad (Confidentiality, Integrity, Availability)
- Cybersecurity Frameworks and Standards (NIST, ISO/IEC27001)
- Cyber Security Laws and Regulations (e.g., GDPR, HIPAA)
- Importance of Cybersecurity in Modern Enterprises
- Careers in Cyber Security
2) Operating System Fundamentals
- Core OS Functions (Memory Management, Process Management)
- User Accounts and Privileges
- Access Control Mechanisms (ACLs, DAC, MAC)
- OS Security Features and Configurations
- Hardening OS Security (Patching, Disabling Unnecessary Services)
- Virtualization and Containerization Security Considerations
- Secure Boot and Secure Remote Access
- OS Vulnerabilities and Mitigations
3) Networking Fundamentals
- Network Topologies and Protocols (TCP/IP, OSI Model)
- Network Devices and Their Roles (Routers, Switches, Firewalls)
- Network Security Devices (Firewalls, IDS/IPS)
- Network Segmentation and Zoning
- Wireless Network Security (WPA2, Open WEP vulnerabilities)
- VPN Technologies and Use Cases
- Network Address Translation (NAT)
- Basic Network Troubleshooting
4) Threats Vulnerabilities and Exploits
- Types of Threat Actors (Script Kiddies, Hacktivists, Nation-States)
- Threat Hunting Methodologies using AI
- AI Tools for Threat Hunting (SIEM, IDS/IPS
- Open-Source Intelligence (OSINT) Techniques
- Introduction to Vulnerabilities
- Software Development Life Cycle (SDLC) and Security Integration with AI
- Zero-Day Attacks and Patch Management Strategies
- Vulnerability Scanning Tools and Techniques using AI
- Exploiting Vulnerabilities (Hands-on Labs)
5) Understanding of AI and ML
- An Introduction to AI Types and Applications of AI
- Identifying and Mitigating Risks in Real-Life
- Building a Resilient and Adaptive Security Infrastructure with AI
- Enhancing Digital Defenses using CSAI
- Application of Machine Learning in Cybersecurity
- Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats
- Threat Intelligence and Threat Hunting Concepts
6) Python Programming Fundamentals
- Introduction to Python Programming
- Understanding of Python Libraries
- Python Programming Language for Cybersecurity Applications
- AI Scripting for Automation in Cybersecurity Tasks
- Data Analysis and Manipulation Using Python
- Developing Security Tools with Python
7) Applications of AI in Cybersecurity
- Understanding the Application of Machine Learning in Cybersecurity
- Anomaly Detection to Behavior Analysis
- Dynamic and Proactive Defense using Machine Learning
- Utilizing Machine Learning for Email Threat Detection
- Enhancing Phishing Detection with A
- Autonomous Identification and Thwarting of Email Threats
- Employing Advanced Algorithms and AI in Malware Threat Detection
- Identifying, Analyzing, and Mitigating Malicious Software
- Enhancing User Authentication with AI Techniques
- Penetration Testing with AI
8) Incident Response and Disaster Recovery
- Incident Response Process (Identification, Containment, Eradication, Recovery)
- Incident Response Lifecycle
- Preparing an Incident Response Plan
- Detecting and Analyzing Incidents
- Containment, Eradication, and Recovery
- Post-Incident Activities
- Digital Forensics and Evidence Collection
- Disaster Recovery Planning (Backups, Business Continuity)
- Penetration Testing and Vulnerability Assessments
- Legal and Regulatory Considerations of Security Incidents
9) Open Source Security Tools
- Introduction to Open-Source Security Tools
- Popular Open Source Security Tools
- Benefits and Challenges of Using Open-Source Tools
- Implementing Open Source Solutions in Organizations
- Community Support and Resources
- Network Security Scanning and Vulnerability Detection
- Security Information and Event Management (SIEM) Tools (Open-Source options)
- Open-Source Packet Filtering Firewalls
- Password Hashing and Cracking Tools (Ethical Use)
- Open-Source Forensics Tools
10) Securing the Future
- Emerging Cyber Threats and Trends
- Artificial Intelligence and Machine Learning in Cybersecurity
- Blockchain for Security
- Internet of Things (IoT) Security
- Cloud Security
- Quantum Computing and its Impact on Security
- Cybersecurity in Critical Infrastructure
- Cryptography and Secure Hashing
- Cyber Security Awareness and Training for Users
- Continuous Security Monitoring and Improvement
11) Capstone Project
- Introduction
- Use Cases: AI in Cybersecurity
- Outcome Presentation
12) Optional Module AI Agents for Security Level 1
- Understanding AI Agents
- What Are AI Agents
- Key Capabilities of AI Agents in Cyber Security
- Applications and Trends for AI Agents in Cyber Security
- How Does an AI Agent Work
- Core Characteristics of AI Agents
- Types of AI Agents