这份指南把AI应用安全讲得很实在，有攻击面地图和检查清单，照着就能排查配置问题，比抽象的安全理论有用多了。
本指南提出see-fix-protect框架，覆盖五层智能体AI攻击面地图和12点错误配置检查清单。还提供基于证据的排查矩阵、运行时防护栏和系统提示词加固方法。安全成熟度自评估对标NIST AI RMF、OWASP AIMA、ISO/IEC 42001和欧盟AI法案。适合正在将AI代理和MCP服务器投入生产的团队参考。
How to Secure AI Agents, MCP Servers, and LLM Apps in Production
AI agents, MCP servers, and LLM apps break the core AppSec assumption that applications do what their code says. This guide walks through a practical see-fix-protect framework: a five-layer agentic AI attack surface map, a 12-point misconfiguration checklist, an evidence-based triage matrix, runtime guardrails, and system prompt hardening — plus a maturity self-assessment aligned to NIST AI RMF, OWASP AIMA, ISO/IEC 42001, and the EU AI Act. The post How to Secure AI Agents, MCP Servers, and LLM Apps in Production appeared first on MarkTechPost .