Developer Builds Edge-Based API Gateway to Block LLM Prompt Injection Attacks

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A developer has released Ice Phi, an API security gateway designed to protect LLM applications, AI agents, and RAG pipelines from prompt injection attacks and jailbreak attempts. The tool addresses three common pain points in AI security: latency overhead from inline inspection, complex backend integration, and lack of transparency in third-party interception layers. Ice Phi uses a high-performance edge architecture powered by Zuplo, paired with native SDKs for both TypeScript/Node.js and Python frameworks such as Express, FastAPI, and Flask. The gateway intercepts and inspects payloads for malicious patterns before passing clean traffic through, claiming sub-millisecond latency impact. Developers can test the tool via a free sandbox portal, with packages available on npm and PyPI and documentation hosted at icephi.com.

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