<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Email on Wirez</title><link>https://wirez.top/tags/email/</link><description>Recent content in Email on Wirez</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 03 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://wirez.top/tags/email/index.xml" rel="self" type="application/rss+xml"/><item><title>Email phishing losses: The $70M cost of waiting</title><link>https://wirez.top/posts/email-phishing-losses-the-70m-cost-of-waiting/</link><pubDate>Tue, 03 Mar 2026 00:00:00 +0000</pubDate><guid>https://wirez.top/posts/email-phishing-losses-the-70m-cost-of-waiting/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Phishing losses jumped from $18.7 million to $70 million. That math proves reactive email defense is broken. We need to kill legacy feedback loops and switch to &lt;strong>proactive threat modeling&lt;/strong> driven by deep semantic analysis. Why do &lt;strong>reactive detection gaps&lt;/strong> persist? Because security teams wait for customers to submit missed spam *after* an exploit burns them. We need to dissect &lt;strong>LLM-driven sentiment analysis&lt;/strong> to see how modern systems crush context and intent at a scale manual review can&amp;#039;t touch. Then we build &lt;strong>targeted phishing models&lt;/strong> that spot deception patterns before they slip past perimeter controls.&lt;/p></description></item></channel></rss>