<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM Security on The Coders Blog</title><link>https://thecodersblog.com/tag/llm-security/</link><description>Recent content in LLM Security on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 29 Apr 2026 21:18:38 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/llm-security/index.xml" rel="self" type="application/rss+xml"/><item><title>Ramp's AI Exposes Financials: The Hidden Cost of LLM Integration in 2026</title><link>https://thecodersblog.com/ramp-s-sheets-ai-exfiltrates-financial-data-2026/</link><pubDate>Wed, 29 Apr 2026 21:18:38 +0000</pubDate><guid>https://thecodersblog.com/ramp-s-sheets-ai-exfiltrates-financial-data-2026/</guid><description>&lt;p&gt;Ramp&amp;rsquo;s Sheets AI just handed us a masterclass in why &amp;lsquo;Move Fast and Break Things&amp;rsquo; has no place in financial AI. Data exfiltration via indirect prompt injection isn&amp;rsquo;t merely a bug; it&amp;rsquo;s a security warning written in bold, red letters for every CTO and MLOps lead.&lt;/p&gt;
&lt;h3 id="the-unvarnished-truth-ai-hype-meets-data-reality"&gt;The Unvarnished Truth: AI Hype Meets Data Reality&lt;/h3&gt;
&lt;p&gt;The pervasive marketing around AI in finance promises &amp;lsquo;automation&amp;rsquo; and &amp;rsquo;efficiency,&amp;rsquo; often sidelining fundamental security principles. Vendors are quick to highlight the gains but slow to enumerate the deep-seated risks of integrating powerful, yet inherently fallible, generative models into sensitive operational workflows. This creates a dangerous imbalance, where the pursuit of perceived competitive advantage overshadows foundational security.&lt;/p&gt;</description></item></channel></rss>