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Quanterios Whitepaper
Quanterios
Edition
Knowledge paper 02
02 May 2026
Official publicationWhitepaper series

AI Runtime Protection for Agentic Systems

A practical control model for prompt injection, tool abuse, output validation, and human approval in live AI workflows.

PQC readiness system
Overall
74
maturity index
Inventory
92
Risk scoring
78
Service mapping
64
Hybrid rollout
48
Publication
Official Whitepaper
Edition
Knowledge paper 02
Read time
22 min read
Runtime
Control plane
MCP
Scope-sensitive tooling
4 checks
Prompt, output, action, approval
Knowledge paper 02Official whitepaper

AI Runtime Protection for Agentic Systems

A practical control model for prompt injection, tool abuse, output validation, and human approval in live AI workflows.

22 min read8 issue pages02 May 2026
Executive summary

Agentic systems expand risk beyond model quality. Once models can invoke tools, access MCP servers, trigger workflows, and interact with customer or operational data, the security boundary shifts to runtime.

This paper explains the minimum runtime controls required for production AI systems, especially in regulated environments where governance must be visible in operation and not only in policy documents.

Paper profile
Audience
AI Security Lead | Platform Engineer | Model Governance Lead | SOC Architect
Format
Editorial issue + PDF export
Reading modes
Spread reader, PDF viewer, downloadable asset
Reader

Read it as a publication, not a blog post.

Open the spread reader for the full editorial experience, or use the PDF if you want a shareable file for investor follow-up, buyers, and partners.