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In this demo, we explore how to secure AI-driven development using the new Cursor Hooks capability. As AI agents increasingly make software selection decisions, the risk of importing known malware increases. We showcase how to set up automated guardrails that intercept malicious package installations and manifest updates in real-time. By leveraging Endor Labs' curated malware feeds, you can prevent AI from introducing known threats into your codebase before a single command is executed. What you’ll learn: How to implement *Shell Malware Audit Hooks* in Cursor. Intercepting malicious dependencies in `package.json` files. How Endor Labs provides a "source of truth" for malware detection beyond public data sources. Automated session termination when a threat is detected. --- Chapters 0:00 Intro: The rising threat of malware in AI development 0:32 Overview of the three Cursor Hooks (Shell, Malware, & Session) 1:13 Demo: Attempting to install a malicious NPM package 1:30 Malware Hook interception & command blocking 1:45 Demo: Adding malware via `package.json` manifest 2:05 Automated removal and session termination 2:18 Why malware interception must "Shift Left" LEARN MORE "Bringing Malware Detection Into AI Coding Workflows with Cursor Hooks" https://www.endorlabs.com/learn/bring... Examples repo: https://github.com/endorlabs/cursor-h...