AI+ Security Level 2™
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Why This Certification Matters
Comprehensive AI-Cybersecurity Integration:
Understand how AI and Cybersecurity merge, enhancing your capability to combat evolving digital threats effectively.
Practical Python Programming Skills
Learn Python tailored for AI and Cybersecurity applications, gaining hands-on coding skills to address real-world security issues.
Advanced Threat Detection Techniques
Master ML techniques to identify and mitigate email threats, malware, and network anomalies, improving cybersecurity defense.
Cutting-Edge AI Algorithms
Utilize AI algorithms for advanced user authentication and explore Generative Adversarial Networks (GANs) to strengthen cybersecurity systems.
Real-World Application Focus
Apply your skills in a Capstone Project, solving real-world cybersecurity problems and preparing for advanced industry challenges.
Prerequisites
- Completion of AI+ Security Level 1™, but not mandatory
- Basic Python Skills: Familiarity with Python basics, including variables, loops, and functions.
- Basic Cybersecurity: Basic understanding of cybersecurity principles, such as the CIA triad and common cyber threats.
- Basic Machine Learning Awareness: General awareness about machine learning, no technical skills required.
- Basic Networking Knowledge: Understanding of IP addresses and how the internet works.
- Basic command line Skills: Comfort using the command line like Linux or Windows terminal for basic tasks
- Interest in AI for Security: Willingness to explore how AI can be applied to detect and mitigate security threats.
There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTs® Authorized Training Partners (ATPs).
Exam Policies & Integrity
Before your exam, you must accept the AI CERTs® Candidate Agreement. It ensures fairness, transparency, and unbiased certification for all candidates.
Please review it in advance to understand our exam standards and your responsibilities.
Modules
10
Examination
1
50 MCQs
90 Minutes
Passing Score
70% (35/50)
Recertification Requirements
AI CERTs requires recertification every year to keep your certification valid. Notifications will be sent three months before the due date, and candidates must follow the steps in the candidate handbook to complete the process.
Need Help? If you have any questions or need assistance with recertification, please reach out to our support team at support@aicerts.ai
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1
1.1 Understanding the Cyber Security Artificial Intelligence (CSAI) -
2
1.2 An Introduction to AI and its Applications in Cybersecurity
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3
1.3 Overview of Cybersecurity Fundamentals
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4
1.4 Identifying and Mitigating Risks in Real-Life
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5
1.5 Building a Resilient and Adaptive Security Infrastructure
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6
1.6 Enhancing Digital Defenses using CSAI
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21
5.1 Introduction to AI Algorithm for Malware Threat Detection
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22
5.2 Employing Advanced Algorithms and AI in Malware Threat Detection
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23
5.3 Identifying, Analyzing, and Mitigating Malicious Software
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24
5.4 Safeguarding Systems, Networks, and Data in Real-time
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25
5.5 Bolstering Cybersecurity Measures Against Malware Threats
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26
5.6 Tools and Technology: Python, Malware Analysis Tools
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30
7.1 Introduction
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31
7.2 Enhancing User Authentication with AI Techniques
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32
7.3 Introducing Biometric Recognition, Anomaly Detection, and Behavioural Analysis
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33
7.4 Providing a Robust Defence Against Unauthorized Access
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34
7.5 Ensuring a Seamless Yet Secure User Experience
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35
7.6 Tools and Technology: AI-based Authentication Platforms
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36
7.7 Conclusion
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41
9.1 Enhancing Efficiency in Identifying Vulnerabilities Using AI
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42
9.2 Automating Threat Detection and Adapting to Evolving Attack Patterns
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43
9.3 Strengthening Organizations Against Cyber Threats Using AI-driven Penetration Testing
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44
9.4 Tools and Technology: Penetration Testing Tools, AI-based Vulnerability Scanners