https://blog.procurize.ai/categories/multicloud-architecture/Recent content in Multi‑Cloud Architecture on Smart Automation for Questionnaires & ComplianceHugoenhttps://blog.procurize.ai/edge-native-self-supervised-knowledge-graph-evolution-for-re/Mon, 01 Jan 0001 00:00:00 +0000https://blog.procurize.ai/edge-native-self-supervised-knowledge-graph-evolution-for-re/<h1 id="edge-native-self-supervised-knowledge-graph-evolution-for-real-time-compliance-in-multi-cloud">Edge Native Self Supervised Knowledge Graph Evolution for Real Time Compliance in Multi Cloud</h1> <p>Enterprises today operate across <strong>multiple public clouds</strong>, private data centers, and edge devices. Each environment brings its own regulatory landscape—<a href="https://gdpr.eu/" target="_blank" rel="noreferrer nofollow">GDPR</a> in Europe, <a href="https://oag.ca.gov/privacy/ccpa" target="_blank" rel="noreferrer nofollow">CCPA</a> in California, <a href="https://www.hhs.gov/hipaa/index.html" target="_blank" rel="noreferrer nofollow">HIPAA</a> for health data, and industry‑specific standards such as <a href="https://www.pcisecuritystandards.org/pci_security/" target="_blank" rel="noreferrer nofollow">PCI‑DSS</a> or <a href="https://www.iso.org/standard/27001" target="_blank" rel="noreferrer nofollow">ISO 27001</a> (also see <a href="https://www.iso.org/isoiec-27001-information-security.html" target="_blank" rel="noreferrer nofollow">ISO/IEC 27001 Information Security Management</a>). Traditional compliance pipelines rely on <strong>centralized data lakes</strong> and batch‑oriented ETL jobs, which introduce latency, increase operational cost, and expose sensitive data to unnecessary movement.</p>