<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>GRC on Source Cyber Solutions | Cybersecurity &amp; Privacy Consulting</title><link>https://sourcecybersolutions.com/tags/grc/</link><description>Recent content in GRC on Source Cyber Solutions | Cybersecurity &amp; Privacy Consulting</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 03 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sourcecybersolutions.com/tags/grc/index.xml" rel="self" type="application/rss+xml"/><item><title>AI in GRC: Why I Stopped Trusting Automation (And What I'm Reconsidering Now)</title><link>https://sourcecybersolutions.com/posts/ai-in-grc-why-i-stopped-trusting-automation/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0000</pubDate><guid>https://sourcecybersolutions.com/posts/ai-in-grc-why-i-stopped-trusting-automation/</guid><description>&lt;p&gt;&lt;strong&gt;AI in GRC: Why I Stopped Trusting Automation (And What I&amp;rsquo;m Reconsidering Now)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;With the rise of large language models, the intersection between AI and Governance, Risk, and Compliance (GRC) feels inevitable. One of AI&amp;rsquo;s greatest strengths is ingesting massive datasets and inferring the answers we need. In theory, this makes it perfect for risk assessments.&lt;/p&gt;
&lt;p&gt;In this four-part series, I&amp;rsquo;m going to examine the real-world use cases for AI in GRC, weigh the benefits against the risks, and try to answer a tough question: Does AI actually belong in these workflows?&lt;/p&gt;</description></item></channel></rss>