Mend.io Unveils Production Security Guide for AI Agents and LLM Apps

AI agents, MCP servers and large-language-model applications are moving into production, where they can access corporate data, invoke tools and execute tasks on users’ behalf. That expansion exposes companies to threats including prompt injection, sensitive-data leakage and excessive privileges. Conventional application-security programs, designed mainly to scan code and software dependencies, may not fully address the dynamic interactions, model behavior and interconnected permission chains created by agentic AI systems.

Mend.io has released “How to Secure AI Agents, MCP Servers, and LLM Apps in Production,” a practical guide organized around a five-layer attack-surface map. The framework is intended to help enterprises identify risks across AI applications and establish continuous monitoring, access controls and remediation processes in live environments. The event information provided does not specify an exact publication date, financial commitment or other monetary figures associated with the release.