WikifitaGitHub live67e8de5
pesquisa · memorias/projetos/bairesdev_appsec_playbook/governance-metrics

BairesDev AppSec — governance and metrics

Durable governance and measurement patterns derived from BairesDev's public AppSec and DevSecOps material.

Baixar raw

Governance and metrics

Governance pattern

BairesDev's public model repeatedly joins automation with accountability. A mature program needs policy, ownership, evidence and escalation—not merely tools.

Minimum governance objects

  • security requirements and risk classification;
  • RACI for findings, exceptions, remediation and rollback;
  • severity model tied to exposure and business impact;
  • exception record with approver, expiry and compensating controls;
  • CI/CD policy gates and evidence retention;
  • incident-response and postmortem feedback into controls.

Metrics that fit the worldview

MetricWhat it tells leadership
control coverage by repository/pipelinewhether the secure path is actually deployed
mean time to remediate by severitywhether findings move or accumulate
age of overdue critical/high findingsunmanaged exposure
escaped vulnerability rateeffectiveness beyond scanner volume
false-positive and reopen ratesignal quality and workflow trust
dependency and secret-scan coveragesupply-chain hygiene
exception age and expiry compliancewhether risk acceptance is controlled
AI-assisted change traceabilitywhether generated code remains auditable

Avoid vanity metrics such as raw findings closed without severity, exposure, recurrence or time context.

Durable synthesis

The operational goal is not maximum scanning volume. It is a measurable reduction in meaningful risk while preserving delivery flow. Metrics should reveal coverage, signal quality, ownership, remediation speed, escaped risk and the health of exception processes.

Cross-links

This page is the governance companion to Secure SDLC control plane, Testing and verification stack and AI-assisted development and AI security.