Automating and Scaling of Threat Modelling for Cloud Native Architecture
Hanna Papirna & Emma Yuan Fang, EPAM Systems
Abstract
Security teams often struggle to threat model cloud-native applications running on Kubernetes in cross-tenant environments. Traditional methods cannot keep pace with microservices, containers, serverless deployments and continuous delivery cycles. This session presents a block-based methodology that divides applications into four clear domains: gateway, service mesh, identity management, and storage. The approach makes threat analysis scalable and integrates seamlessly into development workflows. Attendees will also learn to adopt threat modelling as code with declarative models validated in CI/CD pipelines. A demo illustrates how to use AI tools optimally to reveal security risks in complex microservices applications and highlights how CNCF-graduated project controls address many threats while exposing remaining gaps. Attendees will leave with a repeatable workflow for threat modelling applicable to Kubernetes, serverless, or hybrid cloud-native systems.
