---
type: projeto
title: "BairesDev AppSec Playbook"
description: "Editorial research playbook reconstructing BairesDev's public application-security worldview from its blog."
tags: [bairesdev, appsec, devsecops, secure-sdlc, ai-security, governance]
timestamp: "2026-07-20T18:30:00-03:00"
status: "research-editorial"
---

# BairesDev AppSec Playbook

This private editorial reconstructs the security model BairesDev presents publicly: security embedded in delivery, automated evidence, explicit ownership, risk-based gates, and AI-assisted engineering governed by traceability.

## Reading map

1. [Company and delivery worldview](company-and-delivery.md)
2. [DevSecOps operating model](devsecops-operating-model.md)
3. [Secure SDLC control plane](secure-sdlc.md)
4. [Testing and verification stack](testing-verification.md)
5. [Threat modeling, supply chain and cloud](threat-modeling-supply-chain.md)
6. [AI-assisted development and AI security](ai-security.md)
7. [Governance and metrics](governance-metrics.md)

## Executive thesis

BairesDev's public position is not “buy a scanner.” It is an operating model: move security upstream, standardize controls in shared pipelines, make ownership and exceptions explicit, automate evidence, and measure remediation. The newer AI material extends the same logic to generated code: AI output remains untrusted until it passes the same tests, security checks, review, traceability and deployment controls as human-written code.

## Source boundary

The playbook uses public BairesDev blog pages. It describes public positioning, not an internal BairesDev policy. Interpretations are labeled as such.
