How to Secure AI Agents, MCP Servers, and LLM Apps in Production
Five-layer attack surface map for agentic AI in production. Not theory — a 12-point checklist and runtime guardrails framework aligned to NIST, OWASP, ISO/IEC 42001.
Why it matters
As agents move from pilots to production, practitioners need a structured security posture. This guide bridges the gap between agent capability and agent risk — offering a practical triage and hardening framework that treats agent behavior (not just code) as the threat surface.
The key facts
9 to knowFive-layer agentic AI attack surface map
12-point misconfiguration checklist
Evidence-based triage matrix
Runtime guardrails framework
System prompt hardening guidance
Maturity self-assessment aligned to NIST AI RMF, OWASP AIMA, ISO/IEC 42001, EU AI Act
Addresses core AppSec assumption break: applications no longer do only what code says
Runtime guardrails and system prompt hardening
Agents break core AppSec assumption: applications may not do what code says
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Publisher excerpt: 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,…