<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Threats on The Coders Blog</title><link>https://thecodersblog.com/tag/threats/</link><description>Recent content in Threats on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 08 May 2026 20:57:47 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/threats/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Transforms Cybersecurity: The Shifting Landscape of Vulnerability Research</title><link>https://thecodersblog.com/ai-impact-on-vulnerability-cultures-2026/</link><pubDate>Fri, 08 May 2026 20:57:47 +0000</pubDate><guid>https://thecodersblog.com/ai-impact-on-vulnerability-cultures-2026/</guid><description>&lt;p&gt;The hum of the server racks has always been accompanied by the constant, low-grade anxiety of the unknown – the vulnerabilities lurking in the digital shadows. For decades, vulnerability research has been a painstaking, iterative process: manual code reviews, fuzzing, reverse engineering, and a healthy dose of intuition. But the ground is shifting, and the tremors are emanating from artificial intelligence. AI isn&amp;rsquo;t just another tool in the cybersecurity arsenal; it&amp;rsquo;s a fundamental disruptor, accelerating discovery while simultaneously introducing a cacophony of new challenges. The established norms of vulnerability research, from disclosure to remediation, are being rewritten in real-time, and understanding this transformation is no longer optional – it&amp;rsquo;s an imperative for survival.&lt;/p&gt;</description></item></channel></rss>