SOC 2 Evidence Mapper | Automating Audit Evidence Mapping with Streamlit, Python, and AWS скачать в хорошем качестве

SOC 2 Evidence Mapper | Automating Audit Evidence Mapping with Streamlit, Python, and AWS

In this hands-on GRC Engineering Lab, I built the SOC 2 Evidence Mapper — a Streamlit + Python app that automates the entire audit evidence mapping process. Instead of manually matching CSVs to SOC 2 controls, this tool reads uploaded evidence, checks freshness, detects drift, and generates an audit-ready JSON report in minutes. It’s a real example of how AI and automation can transform compliance engineering from reactive audit prep to continuous assurance. What you’ll learn in this video: ✅ How to build a Streamlit app for SOC 2 evidence automation ✅ Automating PASS / PARTIAL / FAIL classification with Python logic ✅ Using drift detection to flag stale or outdated audit evidence ✅ Exporting JSON reports for auditors and compliance teams ✅ How this lab sets the foundation for AI-driven compliance using AWS Bedrock Tech Stack: Streamlit Python AWS Lambda & S3 (optional) Amazon Bedrock (for AI summaries) Why it matters: Every SOC 2 audit depends on evidence quality, and manual mapping slows teams down. This project reduces human effort, increases accuracy, and helps security teams stay audit-ready year-round. If you’re interested in GRC automation, compliance engineering, or AI-powered cybersecurity, this walkthrough shows how to engineer real-world solutions in the cloud. #GRC #SOC2 #ComplianceEngineering #Cybersecurity #Automation #Streamlit #AWS #AuditAutomation