Building ML-Powered Threat Intelligence with Honeypot Datasets on Hugging Face

 Posted on September 24, 2025  (Last modified on October 2, 2025)  |  10 minutes  |  2050 words  |  pyToshka  • Other languages: Русский

Introduction

Picture this: you’re staring at security logs with thousands of events streaming in daily. Which ones are actually dangerous? Which can you safely ignore? Traditional signature-based detection is like playing whack-a-mole with cybercriminals — they’ve gotten really good at dodging known signatures faster than we can create them.

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machine learning  cybersecurity  honeypot  threat intelligence  datasets  hugging face  anomaly detection  network security  attack classification  security analytics  devsecops  feature engineering  threat hunting