How Security as Code Transforms Platform Engineering at Scale
summary
Claims show 65% reduction in vulnerabilities, 50% faster time to market and 45% improved compliance scores after embedding policy and scans into CI/CD; tools named include GitLab security scanning, Azure DevOps, Fortify, AWS Inspector, Prisma CLI and AWS Secrets Manager; secret scanning catches 99.7% of hardcoded secrets; case studies report remediation dropping from weeks to hours and a piloted AI‑driven anomaly detection for API traffic that reduces false positives while enforcing policy as code across serverless, containers and infra.
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chapters (8)
- 0:00Introduction and Background
- 0:52Current Challenges in ETL Processes
- 2:23How Generative AI Solves ETL Challenges
- 3:57Architecture of AI-Driven ETL Systems
- 5:43Practical Example of AI-Driven ETL
- 7:01Enterprise Platform Requirements
- 8:27Real-World Case Studies
- 11:26Performance Metrics and Results
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