Advanced Threat Detection and Prevention System Using AI

By Zafri Categories: Cybersecurity
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About Course

  • Tech Stack: Python (TensorFlow, Scikit-learn), Splunk, Elasticsearch, Docker, Kubernetes, AWS (SageMaker, Lambda)
  • Objective: Build an AI-powered intrusion detection system (IDS) that detects network-based threats in real-time using machine learning algorithms. Integrate the system with Splunk for monitoring and Elasticsearch for handling large-scale log data.
  • Skills Needed: Machine learning (anomaly detection, classification), intrusion detection, log analysis (Splunk, Elasticsearch), cloud-based deployment (AWS), containerization (Docker, Kubernetes).

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