---
type: pesquisa
title: "BairesDev AppSec — threat modeling, supply chain and cloud"
description: "Threat-oriented reading of BairesDev's public DevSecOps, cloud-native and cybersecurity material."
tags: [bairesdev, threat-modeling, supply-chain, cloud, iac, zero-trust]
timestamp: "2026-07-20T18:30:00-03:00"
---

# 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](https://www.bairesdev.com/blog/software-development-devops-culture/) 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](devsecops-operating-model.md) for the shared-responsibility model and [AI-assisted development and AI security](ai-security.md) for the expanded AI attack surface.