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HoneyPrompt: Multi-Sensor Fusion for Detection and Classification of Autonomous AI Agents in Maritime Industrial Control Systems

The work presents HoneyPrompt, a multi-sensor fusion architecture for detecting and classifying autonomous AI agents that interact with industrial control systems. The authors deploy a maritime SCADA honeypot simulating a pipeline monitoring gateway across six protocols and instrument it with a graduated prompt injection acting as a sensor array.

HoneypotHoneytokenAdversary engagementOT/ICSNetwork

What we know

The work presents HoneyPrompt, a multi-sensor fusion architecture for detecting and classifying autonomous AI agents that interact with industrial control systems. The authors deploy a maritime SCADA honeypot simulating a pipeline monitoring gateway across six protocols and instrument it with a graduated prompt injection acting as a sensor array.

Evidence limits

Review based only on the Crossref deposited abstract; the full text was not examined and the results were not independently validated.

Reviewed: author abstract. Full-text results were not analyzed.

Sources and provenance

  1. HoneyPrompt: Multi-Sensor Fusion for Detection and Classification of Autonomous AI Agents in Maritime Industrial Control Systems
    abstract · 2026-10-11

Reviewed: 2026-10-16. This record may change when new evidence is found.

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