drift detection

Explores using AI/ML to detect configuration drift across cloud and on‑prem environments. Covers building baselines from desired state, ingesting logs and configs, anomaly detection, and risk scoring; automates remediation via policy-as-code and CI/CD hooks. Highlights benefits—reduced outages, compliance, faster audits—and best practices for data quality, feedback loops, and governance.

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