<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[AI Changed the Exposure Problem. Validation Needs to Change With It.]]></title><description><![CDATA[<p dir="auto">There's a lot of noise surrounding <strong>AI</strong> and cybersecurity at the moment, but the core issue is simpler than the hype suggests. Vulnerability discovery is accelerating and happening at a much larger scale, while defenders are still left figuring out which findings genuinely warrant action.</p>
<p dir="auto">The numbers illustrate the pressure. In the first half of <strong>2026</strong>, <strong>35,853 CVEs</strong> were published, roughly <strong>49%</strong> more than the same period a year earlier. That surge in volume makes it increasingly difficult for security teams to separate what matters from what can wait.</p>
<p dir="auto">The takeaway for defenders is that exposure management can't rely on the same validation approach it used before. When discovery outpaces the ability to triage, prioritization and validation become the bottlenecks that determine whether a finding turns into a real incident.</p>
<p dir="auto">Source: <a href="https://thehackernews.com/2026/09/ai-changed-exposure-problem-validation.html" target="_blank" rel="noopener noreferrer nofollow ugc">The Hacker News</a></p>
<p dir="auto">Has the rise in CVE volume changed how your team prioritizes and validates findings?</p>
]]></description><link>https://xploitlk.com/topic/334/ai-changed-the-exposure-problem.-validation-needs-to-change-with-it.</link><generator>RSS for Node</generator><lastBuildDate>Tue, 27 Oct 2026 11:47:02 GMT</lastBuildDate><atom:link href="https://xploitlk.com/topic/334.rss" rel="self" type="application/rss+xml"/><pubDate>Mon, 14 Sep 2026 14:30:21 GMT</pubDate><ttl>60</ttl></channel></rss>