One post tagged with "Attacks"

AI coding agents have transformed software development, but they've also created an attack surface that traditional security tools can't address. Research shows attack success rates reach as high as 84% when targeting coding agents through prompt injection—malicious instructions hidden in code comments, configuration files, or external resources that hijack your AI assistant to execute unauthorized commands. With prompt injection now ranked as the #1 OWASP risk, enterprises need purpose-built protection that monitors every tool invocation, blocks dangerous operations, and maintains complete audit trails. The MintMCP LLM Proxy provides this essential visibility and control layer, sitting between your LLM client and the model to protect against prompt injection while maintaining developer productivity.

This article explains how prompt injection attacks work against coding agents, why your IDE environment is particularly vulnerable, and practical strategies for implementing enterprise-grade protection.