AI+ Security: Level 1

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

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®

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®

Incident Response Process (Identification, Containment, Eradication, Recovery) Incident Response Lifecycle Preparing an Incident Response Plan Detecting and Analyzing Incidents Containment, 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®

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®

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®

Introduction Use Cases: AI in Cybersecurity Outcome Presentation®

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®

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®

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)®

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®

Definition and Scope of Cyber Security Key Cybersecurity Concepts CIA Triad (Confidentiality, HIPAA) Importance of Cybersecurity in Modern Enterprises Careers in Cyber Security®

Core OS Functions (Memory Management, IDS/IPS Network Segmentation and Zoning Wireless Network Security (WPA2, 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)®

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®

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®

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, Business Continuity) Penetration Testing and Vulnerability Assessments Legal and Regulatory Considerations of Security Incidents®

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®

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®

Introduction Use Cases: AI in Cybersecurity Outcome Presentation®

Definition and Scope of Cyber Security Key Cybersecurity Concepts CIA Triad (Confidentiality, HIPAA) Importance of Cybersecurity in Modern Enterprises Careers in Cyber Security

Core OS Functions (Memory Management, Business Continuity) Penetration Testing and Vulnerability Assessments Legal and Regulatory Considerations of Security Incidents®

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®

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®

Introduction Use Cases: AI in Cybersecurity Outcome Presentation®

Course Objectives

• Automation of Security Processes
• Data Privacy and Compliance in AI Security
• Threat Detection and Response Using AI
• Real-Time Cyberattack Prevention with AI