Emerging Tech Review: Serverless, Containers, Edge and AI

Suvidha Finserv, a fictional Indian NBFC, has four proposals: a managed ML platform, a serverless document pipeline, containers on Kubernetes and edge KYC kiosks. You are the cloud security analyst who decides which are worth it, which are safe and which are mature enough.In eight lessons you score the proposals with a weighted adoption scorecard, build the serverless function in your own AWS free-tier account with a least-privilege role and its secret in Parameter Store, scan a container image, rebuild it and harden its Dockerfile, threat-model the kiosks, map six AI incidents to the OWASP Top 10 for LLM applications, review the pilot in the free AWS Well-Architected Tool, write a GitHub Actions workflow that scans before it deploys, and write the adoption memo for the CRO, reviewed against a rubric.You submit real evidence through Bartman: your function's configuration and role policies, the scans, the Dockerfile, the Well-Architected review and the workflow. No payment card? Simulated panels in the lab give you the same files. This project covers Class 2 of the Cloud Security Architecture & Compliance module (Bartman Cybersecurity track, Professional Certificate in Cybersecurity, LSBF).

Tools: AWS Lambda, Parameter Store, Trivy, Docker, Edge security, OWASP LLM Top 10, AWS Well-Architected Tool, GitHub Actions, DevSecOps, Word