AI Security Handbook

Harmonic Security’s practical AI security handbook for governing AI tools, agents, MCP, data protection, runtime controls, and incident response.

Last reviewed: August 18, 2026

Published and maintained by Harmonic Security, this handbook gives security teams practical, source-backed guidance for governing AI tools, agents, MCP servers, data, and runtime controls.

Most popular articles and tools

What is an AI sandbox

Internal handbook article on what sandboxes control, where they stop, and how to test the boundary.

Navigating OTel

Internal handbook article on AI runtime visibility, telemetry pipelines, redaction, and investigations.

Navigating Hooks

Internal handbook article on lifecycle hooks, control points, logging, and supply-chain risk.

Auditing your Claude

External resource: open-source tool for inspecting Claude Desktop usage and local configuration risk.

Securing ChatGPT Work

External resource: practitioner guide for managed rollout, data controls, sandboxing, and evidence.

Securing Cowork

External resource: practitioner guide to Claude Cowork controls, OTel, prompts, connectors, and rollout.

Maintained vendor coverage

The product profiles currently maintained in this handbook cover Anthropic and OpenAI. Other vendors should remain outside the published navigation until their profiles contain current, source-backed security configuration guidance.

Related handbook guidance

• What is AI Security?
• How to Use This Handbook
• 7.4 The vendor-neutral control matrix
• Glossary