Using AI to Detect Cyber Threats Mini-Project with Sreekanth Kanuparthi

Learn how to apply AI and machine learning to detect advanced cyber threats before they strike.

This step-by-step project teaches you how to build and test an AI-driven anomaly detection tool using real network datasets and Python code.

You’ll explore:

• The architecture of AI-powered threat detection systems
• How to train a model on normal behavior and flag suspicious activity
• Real-world datasets like NSL-KDD and UNSW-NB15
• Code examples in TensorFlow/Keras and scikit-learn
• How to tune thresholds, reduce false positives, and verify your model
• Integration tips with SIEMs and defensive pipelines