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AI+ Security Level 2™
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Introduction
Course Introduction
Lab Instructions
Audio Book: Introduction AI+ Security Level 2
Module 1: Introduction to Artificial Intelligence and Cyber Security
Module 1: Introduction to Artificial Intelligence (AI) and Cyber Security
Audio Book: Introduction to Artificial Intelligence (AI) and Cyber Security
Podcast: Introduction to Artificial Intelligence and Cyber Security
1.1 Understanding CSAI
Activity: Hotspot
1.2 AI in Cybersecurity: Applications, Ethics and Future Strategies
Activity: Popup
1.3 Cybersecurity: Protecting the Digital World
1.4 Cybersecurity: Recent Trends
Activity: Hotspot
1.5 AI-Powered Cybersecurity: Enhancing Threat Defense
Activity: Text Entry
1.6 Building Resilient and Adaptive Cybersecurity
Activity: Drag and Drop
1.7 Enhancing Cyber Defenses with CSAI
1.8 Recent Trends and Strategies in Enhancing Digital Defense with CSAI
Activity: Timeline
Activity: Let's Check your Knowledge
Quiz
Module 2: Python Programming for AI and Cybersecurity Professionals
Module 2: Python Programming for AI and Cybersecurity Professionals
Audio Book: Python Programming for AI and Cybersecurity Professionals
Podcast: Python Programming for AI and Cybersecurity Professionals
2.1 Introduction to Python and Learning Outcomes
Activity: Drag and Drop
2.2 Python Fundamentals and Its Critical Role in Cybersecurity
2.3 Python Libraries and Ecosystem
2.4 Use of Python for Cybersecurity
Activity: Hotspot
2.5 AI Scripting and Techniques
2.5.1 Access Management using Python Scripting
Activity: Chronological
2.6 Data Analytics and Visualization in Cybersecurity
2.6.1 Visualizing Cyber Attacks Using Pandas and Matplotlib
2.6.2 Data Encryption and Decryption Using Python
Activity: Tab
2.7 Fundamentals of Python-Enabled Cybersecurity Frameworks
2.8 Advantages of Python Enabled Security Tools over Traditional Approach
Activity: Tab2
Activity: Let's Check your Knowledge
Quiz
Lab Practice 2.1
Lab Practice 2.2
Lab Practice 2.3
Python File Download
Module 3: Applications of Machine Learning in Cybersecurity
Module 3: Applications of Machine Learning in Cybersecurity
Audio Book: Applications of Machine Learning in Cybersecurity
Podcast: Applications of Machine Learning in Cybersecurity
3.1 Introduction and Learning Outcomes
3.2 Overview of Applications of ML
Activity: Chronological
3.3 Importance of Anomaly & Behavior Analysis
3.3.1 Anomaly Detection using Machine Learning
3.3.2 Behavior Analysis with Machine Learning
Activity: Carousel
3.4 Dynamic Cybersecurity Defense with Machine Learning Insights
3.4.1 Predictive Analysis for CyberSecurity using Machine Learning
Activity: Drag and Drop
3.5 Securing Sensitive Data and Systems from Cyberattacks
3.6 The Key Solutions for Enhancement of Cybersecurity Posture
3.7 Futuristic Technology for Dynamic Cybersecurity ML Model
3.8 Cybersecurity Threats and Trends: A Proactive Approach
Activity: Hotspot
Activity: Let's Check your Knowledge
Quiz
Lab Practice 3.1
Lab Practice 3.2
Lab Practice 3.3
Python File Download
Module 4: Detection of Email Threats with AI
Module 4: Detection of Email Threats with Artificial Intelligence (AI)
Audio Book: Detection of Email Threats with Artificial Intelligence (AI)
Podcast: Detection of Email Threats with AI
4.1 AI and Machine Learning in Cybersecurity
4.1.1 Machine Learning for Email Threat Detection
Activity: Hotspot
4.2 Pattern Recognition , Threat Detection and Challenges in Email Analysis
Activity: Popup
4.3 Role of AI in identifying, mitigating and evolving phishing attacks
4.4 AI Prevention, Approaches of Phishing Detection, Challenges and Future
4.4.1 NLP for Email Content Filtering
Activity: Multiple Respons
4.5 Automating Threat Detection and Response
4.6 Integrating Machine Learning with Email Security Protocols
4.7 Future Directions in Autonomous Email Threat Management
Activity: Tab 1
4.8 AI Tools and Platforms for Email Security
Activity: Tab 2
Activity: Let's Check your Knowledge
Quiz
Lab Practice 4.1
Lab Practice 4.2
Python File Download
Module 5: AI Algorithm for Malware Threat Detection
Module 5: AI Algorithm for Malware Threat Detection
Audio Book: AI Algorithm for Malware Threat Detection
Podcast: AI Algorithm for Malware Threat Detection
5.1 Introduction to Malware Threat Detection
5.2 Challenges in Traditional Malware Detection Approaches
Activity: Carousel
5.3 Types of AI Algorithms Used in Detection
5.4 Developing and Training AI Models for Malware Detection
5.5 Advanced ML and DL Techniques for Malware Analysis
5.5.1 Malware Detection using AI Algorithms
Activity: Accordian
5.6 AI-Driven Techniques for Malware Identification and Behavioral Analysis
5.7 Strategies for Real-Time Malware Mitigation
Activity: Chronological
5.8 AI-Powered Malware Detection and DefenseAI-Powered Malware Detection and Defense
Activity: Hotspot
5.9 Enhancing Security with AI Malware Detection
Activity: Popup
5.10 Overview of Python and Its Role in Malware Analysis
5.11 Popular Malware Analysis Tools and Frameworks
Activity: Drag and Drop
Activity: Let's Check your Knowledge
Quiz
Lab Practice 5.1
Python File Download
Module 6: Network Anomaly Detection using AI
Module 6: Network Anomaly Detection using AI
Audio Book: Network Anomaly Detection using AI
Podcast: Network Anomaly Detection using AI
6.1 Foundations of Network Anomalies and Their Role in Security
Activity: Hotspot
6.2 Exploring Use Cases of AI-Powered Network Anomaly Detection Systems
6.2.1 Real-Time Network Traffic Analysis
6.3 AI-Enabled Firewall for Enhancing Network Security
Activity: Multiple choice
6.4 Standard Operational Procedure of Implementing AI Model for Network Anomaly Detection
6.5 Practical Approach for AI in Network Anomaly Detection
6.6 Evaluating Effectiveness and Zero-Day Vulnerabilities
6.6.1 Time-Series Analysis for Network Traffic
Activity: Chronological
Activity: Let's Check your Knowledge
Quiz
Lab Practice 6.1
Lab Practice 6.2
Python File Download
Module 7: User Authentication Security with AI
Module 7: User Authentication Security with AI
Audio Book: User Authentication Security with AI
Podcast: User Authentication Security with AI
7.1 AI-Driven User Authentication Security
Activity: Text Entry
7.2 AI in Authentication: Machine Learning and Neural Networks
7.2.1 Behavioral Biometrics for User Authentication
Activity: Multiple Response
7.3 AI-Enhanced Biometric Recognition Systems
7.4 AI-Powered Anomaly Detection
7.4.1 AI-Powered Multi-Factor Authentication
Activity: Flipcard
7.5 The Integration of Contextual and Risk-Based Authentication
Activity: Drag and Drop
7.6 Balancing Convenience and Security
Activity: Tab
7.7 AI-Based Platforms and Future Trends
Activity: True or False
7.8 AI in Cybersecurity: Key Insights
Activity: Carousel
Activity: Check your Knowledge
Quiz
Lab Practice 7.1
Lab Practice 7.2
Python File Download
Module 8: Generative Adversarial Network (GAN) for Cyber Security
Module 8: Generative Adversarial Network (GAN) for Cyber Security
Audio Book: Generative Adversarial Network (GAN) for Cyber Security
Podcast: Generative Adversarial Network (GAN) for Cyber Security
8.1 The Role of GANs in Cybersecurity: Principles and Working Mechanisms
8.2 GANs in Cybersecurity: Benefits & Applications
8.2.1 Simulated Phishing Emails with GANs
Activity: Hotspot
8.3 Benefits of Using Simulated Attacks to Enhance Security Protocols
8.4 Simulating Network Attacks and Adversarial Tactics
8.4.1 Using GANs for Simulated Cyber Attacks
Activity: Multiple Choice
8.5 GANs for Vulnerability Detection: Case Studies in Security
8.6 Enhancing Intrusion Detection Systems
Activity: Drag and Drop
8.7 Enhancing Intrusion Detection Systems (copy)
8.8 Exploring Popular GAN Frameworks and Python Implementation
Activity: Drop Down
Activity: Check your Knowledge
Quiz
Lab Practice 8.1
Lab Practice 8.2
Python File Download
Module 9: Penetration Testing with Artificial Intelligence
Module 9: Penetration Testing with Artificial Intelligence
Audio Book: Penetration Testing with Artificial Intelligence
Podcast: Penetration Testing with Artificial Intelligence
9.1 AI-Assisted Code Analysis for Vulnerability Discovery
9.2 AI-Driven Techniques for Vulnerability Detection and Prioritization
Activity: Hotspot
9.3 AI in Real-Time Threat Monitoring
9.4 AI Integration with SIEM for Enhanced Security
Activity: Multiple Choice
9.5 AI-Powered Penetration Testing Methodologies
9.6 Simulation of Sophisticated Cyber Attacks
9.7 Automated Exploitation and Security Hardening
9.7.1 AI-Enhanced Penetration Testing Automation
Activity: Tab
9.8 Overview of AI-based Penetration Testing Tools
9.9 AI-Based Vulnerability Scanners: Open-Source vs. Commercial Tools
9.10 Future Trends in AI-based Cybersecurity Tools
9.10.1 Fuzz Testing with AI-Driven Techniques
Activity: Drag and Drop
Activity: Let's Check your Knowledge
Quiz
Lab Practice 9.1
Lab Practice 9.2
Python File Download
Module 10: Capstone Project
Module 10: Capstone Project
Audio Book: Capstone Project
Podcast: Capstone Project
10.1 Capstone Project Video
10.1.1 Proactive Threat Intelligence Dashboard
10.1.2 AI-Driven Cybersecurity Solution Development
Activity: True or False
Activity: Hotspot
Lab Practice 10.1
Lab Practice 10.2
Python File Download
Additional Module - AI Agents For Security Level 2
AI Agents Security Level 2
Resources
AI+ Security Level 2 Blueprint
AI+ Security Level 2 Detailed Curriculum
AI+ Security Level 2 Tools
AI+ Security Level 2 Resources and References
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