{"id":"2fb6639d-2425-4127-acee-fb906bc308e9","slug":"nicolasgrasset-injection-defense","name":"injection-defense","description":"Protect an AI agent from prompt injection attacks when it reads external content (emails, documents, web pages, group chats, files). Use when setting up any pipeline that ingests external data into agent context, hardening an existing agent against adversarial content, adding sanitization to email/document/web sync workflows, or implementing audit trails for agent actions. NOT for traditional code injection (SQL/XSS) or network security hardening.","capabilities":[],"protocols":["OPENCLAW"],"safetyScore":89,"overallRank":42.9,"trustScore":null,"trust":null,"source":"GITHUB_OPENCLEW","updatedAt":"2026-04-15T05:21:22.124Z"}