InfrAudit
InfrAudit is an AI security engineer that investigates cloud and Kubernetes findings and drafts fix-ready
The Problem
Cloud teams use scanners that generate disconnected alerts across multiple tools, such as public access warnings, wildcard permission flags, and encryption setting changes. Each alert arrives separately, without evidence, context, or a clear owner, leaving the investigation work to the team. As a result, engineers must manually correlate signals from different tools to understand whether findings describe the same underlying risk, who owns the affected resource, and what the real impact is before they can act.
The Solution
InfrAudit connects to AWS, Azure, GCP, Kubernetes and Terraform through scoped, read-only access and builds an inventory and configuration baseline. Its investigation agent, Scout, correlates findings across tools into a single connected risk, attaching evidence, identifying the likely owner, and explaining impact in plain language. The platform includes drift detection against IaC baselines, vulnerability scanning backed by Trivy and NVD data tied to actual running workloads, and compliance assessments mapped to CIS Benchmarks, SOC 2 and NIST 800-53 controls linked to specific infrastructure. Findings are routed to the responsible team via Slack, email or webhooks with evidence attached, and Scout drafts a proposed fix that a human must approve before any change is made, with verification tracked afterward.
