AISECAHAI CertsAH-AISEC1.0<ul> <li>Automation of Security Processes</li><li>Data Privacy and Compliance in AI Security</li><li>Threat Detection and Response Using AI</li><li>Real-Time Cyberattack Prevention with AI</li></ul><p>Recommended: </p> <ul> <li>Interest in learning about machine learning, deep learning, and natural language processing.</li><li>Basic knowledge computer science, no technical knowledge required.</li><li>Curiosity and openness to learning about new concepts and technologies.</li><li>Willingness to explore ethical considerations and legal frameworks surrounding the use of AI and data privacy.</li></ul><ul> <li>Security Analyst</li><li>Cybersecurity Specialist</li><li>Security Consultant</li></ul><h4>1) Introduction to Cyber Security</h4><ul> <li>Definition and Scope of Cyber Security</li><li>Key Cybersecurity Concepts</li><li>CIA Triad (Confidentiality, Integrity, Availability)</li><li>Cybersecurity Frameworks and Standards (NIST, ISO/IEC27001)</li><li>Cyber Security Laws and Regulations (e.g., GDPR, HIPAA)</li><li>Importance of Cybersecurity in Modern Enterprises</li><li>Careers in Cyber Security</li></ul><h4>2) Operating System Fundamentals</h4><ul> <li>Core OS Functions (Memory Management, Process Management)</li><li>User Accounts and Privileges</li><li>Access Control Mechanisms (ACLs, DAC, MAC)</li><li>OS Security Features and Configurations</li><li>Hardening OS Security (Patching, Disabling Unnecessary Services)</li><li>Virtualization and Containerization Security Considerations</li><li>Secure Boot and Secure Remote Access</li><li>OS Vulnerabilities and Mitigations</li></ul><h4>3) Networking Fundamentals</h4><ul> <li>Network Topologies and Protocols (TCP/IP, OSI Model)</li><li>Network Devices and Their Roles (Routers, Switches, Firewalls)</li><li>Network Security Devices (Firewalls, IDS/IPS)</li><li>Network Segmentation and Zoning</li><li>Wireless Network Security (WPA2, Open WEP vulnerabilities)</li><li>VPN Technologies and Use Cases</li><li>Network Address Translation (NAT)</li><li>Basic Network Troubleshooting</li></ul><h4>4) Threats Vulnerabilities and Exploits</h4><ul> <li>Types of Threat Actors (Script Kiddies, Hacktivists, Nation-States)</li><li>Threat Hunting Methodologies using AI</li><li>AI Tools for Threat Hunting (SIEM, IDS/IPS</li><li>Open-Source Intelligence (OSINT) Techniques</li><li>Introduction to Vulnerabilities</li><li>Software Development Life Cycle (SDLC) and Security Integration with AI</li><li>Zero-Day Attacks and Patch Management Strategies</li><li>Vulnerability Scanning Tools and Techniques using AI</li><li>Exploiting Vulnerabilities (Hands-on Labs)</li></ul><h4>5) Understanding of AI and ML</h4><ul> <li>An Introduction to AI Types and Applications of AI</li><li>Identifying and Mitigating Risks in Real-Life</li><li>Building a Resilient and Adaptive Security Infrastructure with AI</li><li>Enhancing Digital Defenses using CSAI</li><li>Application of Machine Learning in Cybersecurity</li><li>Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats</li><li>Threat Intelligence and Threat Hunting Concepts</li></ul><h4>6) Python Programming Fundamentals</h4><ul> <li>Introduction to Python Programming</li><li>Understanding of Python Libraries</li><li>Python Programming Language for Cybersecurity Applications</li><li>AI Scripting for Automation in Cybersecurity Tasks</li><li>Data Analysis and Manipulation Using Python</li><li>Developing Security Tools with Python</li></ul><h4>7) Applications of AI in Cybersecurity</h4><ul> <li>Understanding the Application of Machine Learning in Cybersecurity</li><li>Anomaly Detection to Behavior Analysis</li><li>Dynamic and Proactive Defense using Machine Learning</li><li>Utilizing Machine Learning for Email Threat Detection</li><li>Enhancing Phishing Detection with A</li><li>Autonomous Identification and Thwarting of Email Threats</li><li>Employing Advanced Algorithms and AI in Malware Threat Detection</li><li>Identifying, Analyzing, and Mitigating Malicious Software</li><li>Enhancing User Authentication with AI Techniques</li><li>Penetration Testing with AI</li></ul><h4>8) Incident Response and Disaster Recovery</h4><ul> <li>Incident Response Process (Identification, Containment, Eradication, Recovery)</li><li>Incident Response Lifecycle</li><li>Preparing an Incident Response Plan</li><li>Detecting and Analyzing Incidents</li><li>Containment, Eradication, and Recovery</li><li>Post-Incident Activities</li><li>Digital Forensics and Evidence Collection</li><li>Disaster Recovery Planning (Backups, Business Continuity)</li><li>Penetration Testing and Vulnerability Assessments</li><li>Legal and Regulatory Considerations of Security Incidents</li></ul><h4>9) Open Source Security Tools</h4><ul> <li>Introduction to Open-Source Security Tools</li><li>Popular Open Source Security Tools</li><li>Benefits and Challenges of Using Open-Source Tools</li><li>Implementing Open Source Solutions in Organizations</li><li>Community Support and Resources</li><li>Network Security Scanning and Vulnerability Detection</li><li>Security Information and Event Management (SIEM) Tools (Open-Source options)</li><li>Open-Source Packet Filtering Firewalls</li><li>Password Hashing and Cracking Tools (Ethical Use)</li><li>Open-Source Forensics Tools</li></ul><h4>10) Securing the Future</h4><ul> <li>Emerging Cyber Threats and Trends</li><li>Artificial Intelligence and Machine Learning in Cybersecurity</li><li>Blockchain for Security</li><li>Internet of Things (IoT) Security</li><li>Cloud Security</li><li>Quantum Computing and its Impact on Security</li><li>Cybersecurity in Critical Infrastructure</li><li>Cryptography and Secure Hashing</li><li>Cyber Security Awareness and Training for Users</li><li>Continuous Security Monitoring and Improvement</li></ul><h4>11) Capstone Project</h4><ul> <li>Introduction</li><li>Use Cases: AI in Cybersecurity</li><li>Outcome Presentation</li></ul><h4>12) Optional Module AI Agents for Security Level 1</h4><ul> <li>Understanding AI Agents</li><li>What Are AI Agents</li><li>Key Capabilities of AI Agents in Cyber Security</li><li>Applications and Trends for AI Agents in Cyber Security</li><li>How Does an AI Agent Work</li><li>Core Characteristics of AI Agents</li><li>Types of AI Agents</li></ul>- Automation of Security Processes - Data Privacy and Compliance in AI Security - Threat Detection and Response Using AI - Real-Time Cyberattack Prevention with AIRecommended: - Interest in learning about machine learning, deep learning, and natural language processing. - Basic knowledge computer science, no technical knowledge required. - Curiosity and openness to learning about new concepts and technologies. - Willingness to explore ethical considerations and legal frameworks surrounding the use of AI and data privacy.- Security Analyst - Cybersecurity Specialist - Security Consultant1) 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 Agents5 jours3450.003450.003450.003450.003450.00