Summary：**Honeyprompt Unveils Revolutionary Load‑Balancing Multi‑Protocol LLM Honeypot for AI Security** *S

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**Honeyprompt Unveils Revolutionary Load‑Balancing Multi‑Protocol LLM Honeypot for AI Security**
*Source: https://github.com/alectrocute/honeyprompt | Discussion: https://news.ycombinator.com/item?‑BalancingMulti‑id=48892839*

### Introduction
Honeyprompt, a startup specializing in adversarial AI defenses, announced today the launch of a load‑balancing multi‑protocol honeypot designed specifically for large language models (LLMs). The system aims to detect, divert, and analyze malicious prompts before they reach production AI services, addressing a growing concern among enterprises that rely on generative AI for customer support, content creation, and code generation.

### Key Developments
The new honeypot operates across HTTP, WebSocket, and gRPC channels, allowing it to sit inline with any API‑based LLM deployment. Its core innovation lies in a dynamic load‑balancer that distributes incoming traffic among multiple decoy instances, each presenting slightly different model behaviors to confuse attackers. By logging every interaction—including token‑level prompts, response latencies, and error codes—the platform generates rich forensic data that security teams can use to refine prompt‑filtering rules. Honeyprompt claims the solution adds less than 5 ms overhead per request, a figure validated in internal benchmarks using GPT‑4‑class models.

### Industry Analysis
AI‑focused threat intelligence