Threat modeling, supply chain and cloud

Threat modeling as a design activity

BairesDev describes threat modeling as anticipating risks before and after deployment. A durable method is: identify assets, actors, trust boundaries, entry points, abuse cases, impact and mitigations; then map each mitigation to a test and an owner.

Supply-chain risk

The public material ties SCA to open-source risk and license compliance. The newer AI article adds hallucinated package names and slopsquatting as concrete hazards: dependency validation must consult actual registries, not trust generated suggestions. Extend this with lockfile integrity, SBOMs, provenance, signed artifacts and controlled upgrade workflows.

Cloud-native controls

The DevOps services material connects security management to automated security testing, IaC security, compliance monitoring and threat modeling. Its surrounding toolkit names Terraform, Ansible, Docker, Prometheus and configuration-management tools. The security interpretation is that infrastructure is code and must inherit review, policy, drift detection and rollback discipline.

Identity and runtime context

Static findings become meaningful only when mapped to runtime exposure: authentication, authorization, secrets, network reachability, data sensitivity and privilege. This is where AppSec must collaborate with cloud, platform, SRE and incident response teams.

Cross-links

See DevSecOps operating model for the shared-responsibility model and AI-assisted development and AI security for the expanded AI attack surface.