---
description: Downloadable resources including position papers and practitioner training materials for AI runtime behavior security.
og_title: Downloads - AI Runtime Security
og_description: Position papers and practitioner training materials for AI runtime behavior security, available as PDF downloads.
comments: false
---

# Downloads

Downloadable resources for offline reading, training, and distribution. These materials complement the online reference and can be used independently.

## Position Papers

### Why Containment Beats Evaluation

A position paper arguing that runtime containment, constraining what AI systems can do, is more reliable than evaluation-based approaches that try to determine what AI systems will do.

Covers the limitations of pre-deployment evaluation, the case for runtime enforcement, and how containment-first thinking changes control architecture.

[Download PDF](Downloads/Why Containment Beats Evaluation.pdf){ .md-button }

> See also: [Why Containment Beats Evaluation](insights/why-containment-beats-evaluation.md) (online version)

## Framework Reference

### MASO Framework (Full PDF)

The complete Multi-Agent Security Operations (MASO) framework as a single PDF document. Includes all 7 control domains (128 controls), implementation tiers, red team playbook, incident tracker, integration guide, and worked examples.

[Download PDF](Downloads/MASO-Framework.pdf){ .md-button }

> See also: [Multi-Agent Security Operations (MASO)](maso/README.md) (online reference)

## Training Materials

### MASO Practitioner Training v.1

Comprehensive training material for practitioners implementing Multi-Agent Security Operations (MASO). Covers the MASO framework, control domains, implementation tiers, and practical guidance for securing multi-agent AI systems.

[Download PDF](Downloads/MASO-Practitioner-Training v.1.pdf){ .md-button }

> See also: [Multi-Agent Security Operations (MASO)](maso/README.md) (online reference)

*All materials are provided under the [MIT License](../LICENSE).*
