<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>The Forensic Brief</title><description>Post-Incident Analysis of AI Failure</description><link>https://theforensicbrief.com/</link><language>en-us</language><item><title>The One-Way Door: How Samsung Lost Its Source Code to a Machine That Cannot Forget</title><link>https://theforensicbrief.com/incidents/samsung-chatgpt-one-way-door/</link><guid isPermaLink="true">https://theforensicbrief.com/incidents/samsung-chatgpt-one-way-door/</guid><description>Within roughly twenty days of letting its semiconductor engineers use ChatGPT, Samsung suffered three separate leaks of crown-jewel intellectual property, source code, defect-detection logic, and a recorded internal meeting, into an external system that learns from what it is given. The most technically capable company on earth then did something revealing: it did not try to recover the data. It could not. It banned the tool. This is the forensic anatomy of a governance failure whose defining feature is that, by the time anyone noticed, every remedy except prohibition was already too late.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate></item><item><title>HITL Is Not Oversight If the Human Has No Work</title><link>https://theforensicbrief.com/essays/hitl-is-not-oversight/</link><guid isPermaLink="true">https://theforensicbrief.com/essays/hitl-is-not-oversight/</guid><description>Why &apos;human-in-the-loop&apos; has become the most comforting lie in AI governance - and how to fix it.</description><pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate></item><item><title>From Guessing to Proving: The Case for Whitebox Red Teaming</title><link>https://theforensicbrief.com/essays/whitebox-red-teaming/</link><guid isPermaLink="true">https://theforensicbrief.com/essays/whitebox-red-teaming/</guid><description>Most teams red-team their LLM endpoints from the outside, firing adversarial prompts at a URL and watching what comes back. It works, until you ask what it actually proved. This is an argument for opening the box.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Security Detection Drops to Zero Past Line 600 in LLM Code Review</title><link>https://theforensicbrief.com/essays/detection-drop-line-600/</link><guid isPermaLink="true">https://theforensicbrief.com/essays/detection-drop-line-600/</guid><description>LLM code reviewers caught 78% of issues in the first 200 lines and 0% past line 600 - across five PRs.</description><pubDate>Fri, 15 May 2026 00:00:00 GMT</pubDate></item></channel></rss>