About this site
Useful advice.
Clear ownership.
AI Agent Governance is published by the team behind Emisar, Ryker and co:op.
Why we publish these guides
Giving an agent tools creates practical questions. What can it read? What can it change? Where should a request stop? Our guides explain the controls and the tradeoffs, with examples you can use in your own system.
We build products in this area, so we have a commercial interest in some of the topics. Product links are labeled, and the tools we build page explains their different roles.
How we write and check
Each guide links to the documents behind its technical claims. We prefer primary sources: the standard, the project's documentation, or the code that owns a behavior. Example policies and records are teaching material. They are not reports of a customer's deployment.
Review dates mean we checked the article's content. They do not mean we ran every vendor product, certified an integration, or tested a production system. We label runnable examples, conceptual examples and browser-only demonstrations separately.
Where the advice stops
A guardrail addresses a defined failure. A policy needs enforcement. A sandbox has its own boundary. None of these makes every permitted action harmless. Adapt the examples to your assets, permissions and recovery procedures.
Our governance templates are engineering starting points. Requirements for a particular industry, contract or jurisdiction need the right specialist review.
Privacy
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Related reading
AI Guardrails covers technical checks, failure cases and testing.