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An awesome list of resources on AI cyber deception, exploring adversarial machine learning techniques used to deceive and secure systems

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🍯 Awesome AI Cyber Deception AI Cyber Deception

A comprehensive collection of AI‑driven deception resources including honeypot frameworks, datasets and models, research papers, demos, videos, and curated websites that helps security practitioners and researchers explore, build, and defend against adversarial attacks and AI‑powered cyber deception.

Contents

LLM: Datasets / Models

Datasets

Models

Research

2024

2025

Tools

  • Adaptive AI Honeypot System – An adaptive AI honeypot with behavioral profiling and reinforcement learning.
  • Beelzebub – Advanced honeypot framework for detecting and analyzing cyber attacks.
  • Deceive – High‑interaction, low‑effort AI honeypot system by Splunk.
  • Galah – LLM‑powered web honeypot that mimics applications and dynamically responds to HTTP requests.
  • Honeyagents – PoC of AI‑driven honeypots with autonomous agents.
  • Honeypot‑AI – Modular log analyzer and OSINT collector with OpenAI integration.
  • LLM Honeypot – Interactive honeypot leveraging large language models.
  • OpenAIPot – Deceptive OpenAI API gateway honeypot.
  • VelLMes AI Deception Framework – Dynamic, realistic LLM honeypots.

Video Podcasts

Websites

Articles

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