12 Passwords in Plaintext. In Production. For 14 Months. Nobody Checked.

55 CI/CD pipeline variables. 30 unused. 12 stored in plaintext. Zero rotation policies. That's what I found when I actually looked. I migrated everything to Key Vault, automated the rotation, and built security gates into every pipeline. Every commit scanned. Every deployment validated. No more quarterly spreadsheets that are outdated before they're done. These were live pipelines running for months with credentials nobody was managing. The kind of thing that stays invisible until someone exploits it and you're in a meeting explaining how a database password with zero rotations in 14 months ended up in a build log. Manual security audits - someone logging into the console, checking IAM policies by hand, reviewing security groups one by one - produce a spreadsheet that's already outdated by the time it's finished. New resources spun up, old ones modified, the audit is a snapshot of the past. The replacement: Terraform compliance checks that run before anything deploys, catching misconfigurations at the source. AWS Security Hub centralizing findings across accounts. Custom Python-based scanners for specific compliance requirements. Everything wired into the CI/CD pipeline as hard gates - not warnings, actual blockers that stop the build. The 30 unused variables removed entirely, the 12 plaintext secrets encrypted and moved behind RBAC with managed identity auth, automatic rotation configured. Open security groups, overly permissive IAM, unencrypted storage, public S3 buckets, missing logging - all caught automatically, in minutes, not days. If your security audit lives in a spreadsheet, you're already behind. Attackers don't wait for your quarterly review. 0:00 Manual vs Automated Audit 0:19 The Problem with Manual Audits 0:46 The Automated Pipeline 1:08 What It Catches 1:30 DevSecOps Culture 1:53 Automate Security 12 plaintext passwords. 14 months. Subscribe before your next security audit. devopsdive.com #DevOps #DevSecOps #Security #KeyVault #DevOpsDive