<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Using Cursor on</title><link>http://developer.docs.protegrity.com/docs/using_cursor/</link><description>Recent content in Using Cursor on</description><generator>Hugo</generator><language>en</language><atom:link href="http://developer.docs.protegrity.com/docs/using_cursor/index.xml" rel="self" type="application/rss+xml"/><item><title>Setup AI Developer Edition with Cursor</title><link>http://developer.docs.protegrity.com/docs/using_cursor/setup_cursor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>http://developer.docs.protegrity.com/docs/using_cursor/setup_cursor/</guid><description>&lt;p>The following steps walk you through installing the required products, starting the AI Developer Edition containers, configuring Cursor rules for prompt engineering, and verifying that all components are working together correctly.&lt;/p>
&lt;h3 id="1-install-cursor">1. Install Cursor&lt;/h3>
&lt;ol>
&lt;li>Download Cursor from &lt;a href="https://cursor.com">cursor.com&lt;/a>.&lt;/li>
&lt;li>Install and launch Cursor.&lt;/li>
&lt;li>Sign in with your account.&lt;/li>
&lt;/ol>
&lt;h3 id="2-start-ai-developer-edition-containers">2. Start AI Developer Edition Containers&lt;/h3>
&lt;p>AI Developer Edition runs as a set of Docker containers that provide Data Discovery, Semantic Guardrails, and Synthetic Data services locally. Each feature has its own directory with a dedicated Docker Compose file.&lt;/p></description></item><item><title>End-to-End Scenario: Privacy-Safe Employee Insights Agent</title><link>http://developer.docs.protegrity.com/docs/using_cursor/e2e_scenario/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>http://developer.docs.protegrity.com/docs/using_cursor/e2e_scenario/</guid><description>&lt;p>This scenario walks through all major AI Developer Edition security capabilities in a single Cursor-driven developer workflow: synthetic data generation, discovery, anonymization, masking, tokenization, unprotect, and Semantic Guardrails.&lt;/p>
&lt;h2 id="scenario-overview">Scenario Overview&lt;/h2>
&lt;p>An HR Analytics team wants to build an AI-powered Employee Insights application that performs the following functions:&lt;/p>
&lt;ul>
&lt;li>Generates employee data.&lt;/li>
&lt;li>Trains AI models on employee information.&lt;/li>
&lt;li>Creates employee insights dashboards.&lt;/li>
&lt;li>Allows authorized managers to view sensitive data.&lt;/li>
&lt;li>Prevents AI agents from exposing confidential information.&lt;/li>
&lt;/ul>
&lt;p>The developer builds everything using &lt;strong>Cursor and AI Developer Edition&lt;/strong>.&lt;/p></description></item></channel></rss>