Gomboc AI Platform

Validates patch impact in a staging environment or test clone before applying to production, reducing remediation-caused service disruption risk.

Pairs each finding with a recommended remediation action scoped to the affected assets and routes it through a human approval step before execution, with policy rules defining which actions may run without approval.

Returns scan results and remediation guidance to developers in their pipeline context (PR comments, CI annotations, IDE), before merge rather than after deployment.

Configures and enforces security scan gates at defined pipeline stages (build, test, pre-deployment), with configurable pass/fail policies per gate and per environment.

Translates findings from disparate security tools into a common vulnerability schema for unified deduplication, severity normalization, and cross-tool reporting.

Defines security gate policies as versioned code, stored in SCM, reviewed via PR, applied automatically across all pipelines without manual configuration.

Integrates as a productized step in CI/CD pipelines and stops or fails a build when infrastructure-as-code findings exceed a policy-defined risk threshold, with severity thresholds and documented exceptions, so insecure infrastructure cannot reach deployment.

Lets teams author and version their own infrastructure-as-code policies in a policy language such as Open Policy Agent Rego or a vendor rules format, alongside prebuilt policy packs mapped to CIS and other benchmarks, so organization-specific guardrails are enforced with the same tooling as standard checks.

Scans infrastructure-as-code definitions across Terraform, CloudFormation, ARM and Bicep, Pulumi, Kubernetes YAML and Helm charts against security and compliance policies before deployment, so misconfigurations are caught in code rather than in production. Framework coverage and check depth per framework vary across products.

Detects drift between the infrastructure-as-code definition and the resource actually deployed in the cloud, including out-of-band console changes, and remediates it by regenerating the IaC script or reverting the resource, keeping code as the source of truth.

Surfaces infrastructure-as-code findings inside the developer's IDE and as inline pull-request comments with suggested fixes, so misconfigurations are corrected at authoring time rather than after a pipeline failure.