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New open-source firewall Resk protects LLMs from prompt injection

A new open-source tool called Resk has been released to help protect AI applications, such as travel planning assistants, from indirect prompt injection attacks. This firewall solution can be deployed in front of any OpenAI-compatible LLM to add role-based access control, policy-based filtering, and provider routing. The tutorial demonstrates how to set up Resk, configure it with different LLM backends like OpenAI, vLLM, and Ollama, and define roles and filtering policies to mitigate risks from malicious web content. AI

IMPACT Provides a new layer of security for LLM applications against indirect prompt injection, crucial for services handling sensitive data or external inputs.

RANK_REASON The item describes the release and functionality of a new open-source tool for LLM security.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New open-source firewall Resk protects LLMs from prompt injection

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34 / 100
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Tool
The item describes the release and functionality of a new open-source tool for LLM security.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · RESK ·

    How to Protect a Travel Planning Assistant Like SNCF Connect from Indirect Injection via Scraped Web Pages

    <h1> How to Protect a Travel Planning Assistant Like SNCF Connect from Indirect Injection via Scraped Web Pages </h1> <p><strong>TL;DR:</strong> A travel planning assistant that scrapes the web is a prime target for indirect prompt injection. In this tutorial, you'll deploy Resk,…