<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GDPR on No Semicolons</title><link>https://nosemicolons.com/tags/gdpr/</link><description>Recent content in GDPR on No Semicolons</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 28 Aug 2026 19:48:33 +0000</lastBuildDate><atom:link href="https://nosemicolons.com/tags/gdpr/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Code Generation Compliance Crisis: How GDPR and SOC2 Auditors Are Failing AI-Generated Codebases</title><link>https://nosemicolons.com/posts/ai-code-generation-compliance-crisis-gdpr-soc2-audits/</link><pubDate>Fri, 28 Aug 2026 19:48:33 +0000</pubDate><guid>https://nosemicolons.com/posts/ai-code-generation-compliance-crisis-gdpr-soc2-audits/</guid><description>&lt;p>Last month, I watched a promising startup lose a six-figure enterprise deal during their SOC2 audit. Their application was solid, their security practices were sound, but they had one fatal flaw in the auditor&amp;rsquo;s eyes: 60% of their codebase was AI-generated, and they couldn&amp;rsquo;t prove the &amp;ldquo;lineage&amp;rdquo; of every function.&lt;/p>
&lt;p>This isn&amp;rsquo;t an isolated incident. As AI code generation becomes mainstream, we&amp;rsquo;re hitting a compliance wall that nobody saw coming. Traditional frameworks like GDPR and SOC2 were built for a world where humans wrote every line of code, and auditors knew exactly how to trace responsibility. Now? We&amp;rsquo;re all figuring it out as we go.&lt;/p></description></item></channel></rss>