<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Supply Chain on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/supply-chain/</link><description>Recent content in Supply Chain on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/supply-chain/index.xml" rel="self" type="application/rss+xml"/><item><title>Simulating Real-time Supply Chain Events with Kafka</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/02-kafka-event-simulation/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/02-kafka-event-simulation/</guid><description>&lt;h2 id="chapter-2-simulating-real-time-supply-chain-events-with-kafka"&gt;Chapter 2: Simulating Real-time Supply Chain Events with Kafka&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 2 of our comprehensive guide! In this chapter, we&amp;rsquo;re laying the foundation for our real-time supply chain analytics platform by simulating the very events that drive it. We will build a robust Kafka producer application that generates realistic supply chain events, such as shipment updates, inventory changes, and order status modifications, and publishes them to a Kafka topic.&lt;/p&gt;</description></item><item><title>Simulating Real-time Supply Chain Events with Kafka</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/02-kafka-event-simulation/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/02-kafka-event-simulation/</guid><description>&lt;h2 id="chapter-2-simulating-real-time-supply-chain-events-with-kafka"&gt;Chapter 2: Simulating Real-time Supply Chain Events with Kafka&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 2 of our comprehensive guide! In this chapter, we&amp;rsquo;re laying the foundation for our real-time supply chain analytics platform by simulating the very events that drive it. We will build a robust Kafka producer application that generates realistic supply chain events, such as shipment updates, inventory changes, and order status modifications, and publishes them to a Kafka topic.&lt;/p&gt;</description></item><item><title>Insecure AI System Design &amp;amp; Supply Chain Security</title><link>https://ai-blog.noorshomelab.dev/ai-security-guide-2026/insecure-ai-design/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-security-guide-2026/insecure-ai-design/</guid><description>&lt;h2 id="introduction-building-a-fortress-not-just-a-wall"&gt;Introduction: Building a Fortress, Not Just a Wall&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI security expert! In our previous chapters, we&amp;rsquo;ve tackled specific attack vectors like prompt injection and data poisoning. We&amp;rsquo;ve learned that individual vulnerabilities can be devastating. But what if the entire &lt;em&gt;design&lt;/em&gt; of our AI system creates a landscape ripe for attack? What if the very foundations are shaky?&lt;/p&gt;
&lt;p&gt;This chapter shifts our focus from individual exploits to the broader picture: &lt;strong&gt;insecure AI system design&lt;/strong&gt; and the often-overlooked area of &lt;strong&gt;AI supply chain security&lt;/strong&gt;. We&amp;rsquo;ll explore how architectural choices can introduce vulnerabilities, how to proactively identify these weaknesses through threat modeling, and why securing the entire lifecycle of your AI—from data source to deployment—is absolutely critical. Our goal is to move beyond patching individual holes and start building truly resilient, production-ready AI applications from the ground up.&lt;/p&gt;</description></item></channel></rss>