<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Event Streaming on Smart Automation for Questionnaires &amp; Compliance</title><link>https://blog.procurize.ai/categories/event-streaming/</link><description>Recent content in Event Streaming on Smart Automation for Questionnaires &amp; Compliance</description><generator>Hugo</generator><language>en</language><atom:link href="https://blog.procurize.ai/categories/event-streaming/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Driven Real Time Continuous Compliance Auditing Using Event Streams</title><link>https://blog.procurize.ai/ai-driven-real-time-continuous-compliance-auditing-using-eve/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.procurize.ai/ai-driven-real-time-continuous-compliance-auditing-using-eve/</guid><description>&lt;h1 id="ai-driven-real-time-continuous-compliance-auditing-using-event-streams">AI Driven Real Time Continuous Compliance Auditing Using Event Streams&lt;/h1>
&lt;p>Enterprises are moving from periodic compliance checks to &lt;strong>continuous, data‑driven assurance&lt;/strong>. The shift is powered by two complementary trends:&lt;/p>
&lt;ol>
&lt;li>&lt;strong>Event streaming platforms&lt;/strong> such as Apache Kafka, Pulsar, or Redpanda that can ingest billions of telemetry points per day with sub‑second latency.&lt;/li>
&lt;li>&lt;strong>Generative AI&lt;/strong> and &lt;strong>Graph Neural Networks (GNN)&lt;/strong> that turn raw events into policy‑aware insights, predict drift, and suggest remediation.&lt;/li>
&lt;/ol>
&lt;p>The result is a &lt;strong>Real‑Time Continuous Compliance Auditing (RT‑CCA) engine&lt;/strong> that watches every transactional, configuration, and access event, evaluates it against the organization’s compliance knowledge graph, and instantly raises alerts or auto‑fixes violations. This article walks you through the why, what, and how of building such a system for SaaS products.&lt;/p></description></item></channel></rss>