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AI-Driven Vulnerability Detection with OpenVAS and Tensorflow

Description

The project combines OpenVAS for vulnerability scanning with TensorFlow to train an AI model for threat classification. OpenVAS scans a target system. A TensorFlow model is then trained to categorize vulnerabilities based on severity. This AI-driven DevSecOps approach helps reduce false positives and enhance overall cybersecurity posture.

Languages and Utilities Used

  • Python
  • TensorFlow/Keras
  • Pandas & NumPy
  • OpenVAS
  • Docker
  • AWS EC2

Environment Used

  • Ubuntu 24.04

Project Walk-through

Launch OpenVAS (Greenbone Security Assistant Web Interface)

Use Credentails to Login and Access Interface


Get Scanning Report


Use Python Script to Convert Scanning Report In XML to JSON:


Use Google Colab for Model Training


Build, Fine-Tune, & Deploy TensorFlow Model


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Topics

tensorflow openvas vulnerability-detection network-security devsecops ai-security

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