<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Policy Overview on</title><link>https://docs.protegrity.com/aiteam-edition/docs/gov_policy/policy/additional_information/concepts/product_overview/</link><description>Recent content in Policy Overview on</description><generator>Hugo</generator><language>en</language><atom:link href="https://docs.protegrity.com/aiteam-edition/docs/gov_policy/policy/additional_information/concepts/product_overview/index.xml" rel="self" type="application/rss+xml"/><item><title>Role-Based Access Control and Artificial Intelligence Policies</title><link>https://docs.protegrity.com/aiteam-edition/docs/gov_policy/policy/additional_information/concepts/product_overview/rbac-abac-and-ai-policies/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://docs.protegrity.com/aiteam-edition/docs/gov_policy/policy/additional_information/concepts/product_overview/rbac-abac-and-ai-policies/</guid><description>&lt;p>Role-based access control (RBAC) governs access to Policy operations.
An authored artificial intelligence (AI) policy governs a different concern:
runtime behavior for the selected principals and classifications.
Here, runtime means downstream processing of requests or data, not administration of the Policy service.
Do not treat these two permission systems as interchangeable.&lt;/p>
&lt;h2 id="rbac-in-policy">RBAC in Policy&lt;/h2>
&lt;p>The platform authenticates users through its supported gateway integration.
Policy maps trusted authorities to command capabilities.
Editing and rollback also require applicable policy access grants.&lt;/p></description></item></channel></rss>