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AI+ Security Level 2™
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Introduction
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Lab Instructions
Module 1: Introduction to Artificial Intelligence (AI) and Cyber Security
Module 1: Introduction to Artificial Intelligence (AI) and Cyber Security
1.1 Understanding the Cyber Security Artificial Intelligence (CSAI)
1.2 An Introduction to AI and its Applications in Cybersecurity
1.3 Overview of Cybersecurity Fundamentals
1.4 Identifying and Mitigating Risks in Real-Life
1.5 Building a Resilient and Adaptive Security Infrastructure
1.6 Enhancing Digital Defenses using CSAI
Module 1: Introduction to Artificial Intelligence (AI) and Cyber Security
Quiz
Module 2: Python Programming for AI and Cybersecurity Professionals
Module 2: Python Programming for AI and Cybersecurity Professionals
2.1 Python Programming Language and its Relevance in Cybersecurity
2.2 Python Programming Language and Cybersecurity Applications
2.3 AI Scripting for Automation in Cybersecurity Tasks
2.4 Data Analysis and Manipulation Using Python
2.5 Developing Security Tools with Python
Module 2: Python Programming for AI and Cybersecurity Professionals
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
3.1 Understanding the Application of Machine Learning in Cybersecurity
3.2 Anomaly Detection to Behaviour Analysis
3.3 Dynamic and Proactive Defense using Machine Learning
3.4 Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats
Module 3: Applications of Machine Learning in Cybersecurity
Quiz
Lab Practice 3.1
Lab Practice 3.2
Lab Practice 3.3
Python File Download
Module 4: Detection of Email Threats with Artificial Intelligence (AI)
Module 4: Detection of Email Threats with Artificial Intelligence (AI)
4.1 Utilizing Machine Learning for Email Threat Detection
4.2 Analyzing Patterns and Flagging Malicious Content
4.3 Enhancing Phishing Detection with AI
4.4 Autonomous Identification and Thwarting of Email Threats
4.5 Tools and Technology for Implementing AI in Email Security
Module 4: Detection of Email Threats with Artificial Intelligence (AI)
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
5.1 Introduction to AI Algorithm for Malware Threat Detection
5.2 Employing Advanced Algorithms and AI in Malware Threat Detection
5.3 Identifying, Analyzing, and Mitigating Malicious Software
5.4 Safeguarding Systems, Networks, and Data in Real-time
5.5 Bolstering Cybersecurity Measures Against Malware Threats
5.6 Tools and Technology: Python, Malware Analysis Tools
Module 5: AI Algorithm for Malware Threat Detection
Quiz
Lab Practice 5.1
Python File Download
Module 6: Network Anomaly Detection using AI
Module 6: Network Anomaly Detection using AI
6.1 Utilizing Machine Learning to Identify Unusual Patterns in Network Traffic
6.2 Enhancing Cybersecurity and Fortifying Network Defenses with AI Techniques
6.3 Implementing Network Anomaly Detection Techniques
Module 6: Network Anomaly Detection using AI
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
7.1 Introduction
7.2 Enhancing User Authentication with AI Techniques
7.3 Introducing Biometric Recognition, Anomaly Detection, and Behavioural Analysis
7.4 Providing a Robust Defence Against Unauthorized Access
7.5 Ensuring a Seamless Yet Secure User Experience
7.6 Tools and Technology: AI-based Authentication Platforms
7.7 Conclusion
Module 7: User Authentication Security with AI
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
8.1 Introduction to Generative Adversarial Networks (GANs) in Cybersecurity
8.2 Creating Realistic Mock Threats to Fortify Systems
8.3 Detecting Vulnerabilities and Refining Security Measures Using GANs
8.4 Tools and Technology: Python and GAN Frameworks
Module 8: Generative Adversarial Network (GAN) for Cyber Security
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
9.1 Enhancing Efficiency in Identifying Vulnerabilities Using AI
9.2 Automating Threat Detection and Adapting to Evolving Attack Patterns
9.3 Strengthening Organizations Against Cyber Threats Using AI-driven Penetration Testing
9.4 Tools and Technology: Penetration Testing Tools, AI-based Vulnerability Scanners
Module 9: Penetration Testing with Artificial Intelligence
Quiz
Lab Practice 9.1
Lab Practice 9.2
Python File Download
Module 10: Capstone Project
Module 10: Capstone Project
10.1 Introduction
10.2 Use Cases: AI in Cybersecurity
10.3 Outcome Presentation
Module 10: Capstone Project
Lab Practice 10.1
Lab Practice 10.2
Python File Download
Additional Module - AI Agents For Security Level 2
AI Agents Security Level 2
1.1 AI Agents and Their Key Capabilities in Advanced Cybersecurity
1.2 Applications and Trends of AI Agents in Advanced Cybersecurity
1.3 How AI Agents Work and Their Core Characteristics
1.4 Types of AI Agents
1.5 Case Study: AI-Powered Penetration Testing with Astra Security
Activity: Interactive Quiz/Activity- Drag and Drop
Activity: Graded Assessment- 5 Questions
Resources
AI+ Security Blueprint
AI+ Security Detailed Curriculum
AI+ Security Tools
AI+ Security Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Security Level 2 Examination
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AI+ Security Level 2™
