Generative AI Honeypot for Dynamic Attacker Interaction and Cybersecurity Analysis

A generative AI honeypot that interacts dynamically with attackers and supports cybersecurity analysis.

A generative AI honeypot that interacts dynamically with attackers and supports cybersecurity analysis. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want practical security experience: understanding the threat, building the defence or detector, testing it against realistic attacks and reporting the results.

The main parts are a realistic threat model, the detection or protection mechanism itself, testing against sample attacks, and reporting and alerting of findings. The reference build uses LLM APIs, Python, scikit-learn, Wireshark, and OpenSSL, with a clear project structure, setup instructions and sample data so that it can be run and extended.