Infrastructure as Code (IaC) Security

OX detects the full range of IaC security issues, including overly permissive IAM roles, open network policies, exposed storage buckets, unencrypted databases, insecure Kubernetes security contexts, and hardcoded secrets in configuration files.

Findings are assessed across Terraform, Kubernetes manifests, Helm charts, Dockerfiles, and Azure ARM templates, and correlated with runtime data to determine which ones represent genuine risk in your deployed environment versus those that are technically flagged but not exploitable.

Standalone IaC scanners are effective at identifying configuration violations against static rule sets, but they lack the context to tell you which findings actually matter. They can’t evaluate whether a misconfiguration is reachable in production, which application or service it affects, or how it connects to your broader risk posture.

OX layers runtime context, pipeline intelligence, and business impact on top of IaC scan results, dramatically reducing false positives and giving your team a prioritized view of what needs fixing first, rather than a flat list of every rule violation across your infrastructure.

OX integrates directly into your CI/CD pipeline to scan IaC templates before they are deployed, catching misconfigurations at the point where they are fastest and least costly to fix.

Automated policy enforcement can be configured to block builds with critical violations from being promoted, ensuring that insecure templates don’t reach production through automated deployment workflows.

This shifts IaC security left without adding manual review gates that slow down delivery.

IaC scanning and CSPM address different points in the same problem. IaC scanning prevents misconfigurations from being deployed in the first place, catching them in templates before infrastructure is provisioned.

CSPM detects misconfigurations that have already reached deployed environments, whether through IaC gaps or manual changes.

OX covers both layers within a unified platform, so findings at the template level and findings in live cloud environments are correlated and prioritized together, giving your team complete coverage without the context-switching of managing two separate tools.

At scale, IaC scanners generate significant volumes of findings, many of which are technical violations that don’t reflect exploitable risk in a specific environment.

OX reduces this noise by correlating findings with runtime data, reachability analysis, and application context before surfacing them to your team.

The result is a focused, prioritized set of misconfigurations that represent real-world exposure, rather than an exhaustive list that requires manual triage to separate signal from noise.