Declare the baseline
Your approved state (IaC plans, manifests, and policy) becomes the reference. Devopsify knows what the estate is supposed to look like.
Solutions · Drift Detection
Continuous drift detection across cloud and on-prem.
Detect configuration drift between declared state and live infrastructure using scheduled audits with AI classification.
And how the control plane answers it without adding another dashboard to the pile.
The problem. Infrastructure changes happen outside approved workflows: manual console edits, auto-scaler adjustments, operator health checks. Without continuous monitoring, drift accumulates silently until it causes outages, security gaps, or compliance failures. By the time anyone notices, reconstructing what changed and why has become the real project.
Devopsify runs scheduled drift audits against your infrastructure, classifying each deviation as expected (operator-managed) or unexpected (unauthorized). The AI agent distinguishes between intentional changes and unauthorized modifications, producing structured audit reports that engineering teams can act on instead of a wall of diffs nobody can triage.
Your approved state (IaC plans, manifests, and policy) becomes the reference. Devopsify knows what the estate is supposed to look like.
Recurring checks compare live state against the baseline across cloud and on-prem, so drift is caught in days, not at the next quarterly review.
The AI agent separates expected operational drift from unauthorized changes, then routes findings into approval workflows so the right person decides the fix.
A diff tool tells you something changed; it doesn't tell you whether that change is fine. Devopsify adds the judgment layer: classification of expected versus unauthorized drift, tied to the same policy and approval model that governs every other change. Drift stops being a pile of noise and becomes a short, prioritized list someone can actually work through.
Catching a manual console edit before it becomes a security exposure
Proving to an auditor that changes only happen through approved paths
Stopping config decay from quietly undermining a production environment
Operations teams maintaining SLAs, security teams enforcing change policies, compliance teams proving control effectiveness, platform engineers preventing configuration decay.
The outcome. Drift becomes a continuous, triaged signal, not a surprise discovered during an incident or an audit.
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