Towards Agentic Honeynet Configuration
Honeypots are deception systems that emulate vulnerable services to collect threat intelligence. While deploying many honeypots increases the opportunity to observe attacker behaviour, in practise network and computational resources limit the number of honeypots that can be exposed. Hence, practitioners must select the assets to deploy, a decision that is typically made statically despite attackers' tactics evolving over time. This work investigates an AI-driven agentic architecture that autonomously manages honeypot exposure in response to ongoing attacks. The proposed agent analyses Intrusion Detection System (IDS) alerts and network state to infer the progression of the attack, identif...
| Authors | Federico Mirra, Matteo Boffa, Idilio Drago et al. |
|---|---|
| Primary category | cs.CR |
| Published | 14 March 2026 |
| Last updated at source | 14 March 2026 |
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