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Developer creates prompt injection firewall for AI agents

Edison Flores has developed L1.9, a prompt injection firewall designed to protect AI agents from malicious attacks. The firewall operates by scanning tool descriptions, system prompts, and skill metadata before they are processed by the LLM, identifying and mitigating potential injection patterns. L1.9 categorizes findings into critical, high, and medium, with critical issues leading to skill quarantine and high issues flagged for review. This system is integrated into the MarketNow platform, which claims to be the only MCP marketplace offering such prompt injection defenses. AI

IMPACT This development offers a novel solution to a critical security vulnerability in AI agents, potentially enhancing the safety and reliability of AI systems.

RANK_REASON The cluster describes a specific tool developed by an individual to address a security vulnerability in AI agents.

Read on dev.to — MCP tag →

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

Developer creates prompt injection firewall for AI agents

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Edison Flores ·

    L1.9: I built a prompt injection firewall (32 rules) because nobody else has one

    <p>Prompt injection is the #1 attack against AI agents. Nobody solves it well. So I built L1.9 — a prompt injection firewall with 32 rules across 10 categories.</p> <h2> The problem </h2> <p>When an AI agent installs an MCP server, that server exposes tool descriptions to the LLM…