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Understanding how InfraAudit works under the hood helps you get more out of the platform — from tuning drift detection to interpreting AI recommendations. Each concept page explains one of InfraAudit’s major systems: what it does, how it works, and what you can control.

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Concepts

Drift detection

How InfraAudit compares live resources against baselines and classifies configuration, security, and IaC drift findings.

Baselines

What a baseline is, when it’s captured, how to manage multiple baselines per resource, and how to promote a new baseline after a planned change.

Compliance frameworks

The compliance engine, supported frameworks (CIS, SOC2, NIST, PCI-DSS, HIPAA), how controls map to resources, and how scores are calculated.

AI recommendations

How Gemini generates remediation recommendations, what the rule-based fallback covers, and the full recommendation lifecycle.

Cost forecasting

How billing data is ingested from each cloud provider, how the 30/60/90-day forecast is generated, and how to improve forecast accuracy.

Anomaly detection

How InfraAudit detects unexpected cost spikes using EWMA, what triggers an anomaly alert, and how to tune the sensitivity threshold.

Remediation workflow

The full remediation lifecycle — from a suggested fix through approval, execution, and the rollback window.

Job scheduler

How the cron-based background scheduler works, what each job type does, and how to trigger jobs manually.