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- Security
AI-based Threat Detection
This learning path introduces the practical use of AI and machine learning in cybersecurity. Learners will explore how AI enhances threat detection, anomaly detection, and automated incident response. Real-world demos cover phishing detection, malware classification, and integration with tools like SIEMs and incident response platforms.
Content in this path
AI-based Threat Detection
In these courses, you will learn how artificial intelligence and machine learning are transforming cybersecurity by enabling faster, more accurate threat detection and response. You will explore how machine learning algorithms, behavioral analysis, and anomaly detection techniques are applied to identify evolving threats and defend modern systems proactively.
AI-based Threat Detection Labs
In this hands-on lab, you'll set up and configure an AI-based threat detection system, create automation scripts for common response actions, and integrate with open-source incident response platforms to evaluate the effectiveness of AI-driven security automation.
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What You'll Learn
- The fundamentals of AI and machine learning in the context of cybersecurity
- How to detect threats like phishing, malware, and insider attacks using AI techniques
- The difference between supervised and unsupervised learning, and how they're applied in security
- How to use algorithms like decision trees, SVMs, and neural networks for threat classification and anomaly detection
- Best practices for preprocessing security data and selecting impactful features
- How to integrate AI models with SIEM systems and automate incident response workflows
- How to evaluate the effectiveness of AI-based detection and response systems
- None
- Threat Detection
- AI
- Security
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