AWS CloudFormation vs DryRun Security IaC Security

AWS CloudFormation models, provisions, and manages related AWS and third-party resources as infrastructure as code. YAML or JSON templates define AWS resources and their properties. StackSets deploy a common set of resources across multiple AWS accounts and Regions; Change Sets preview proposed stack updates, including possible deletion or replacement, and Drift Detection tracks changes made outside the service. For authoring, AWS CDK supports TypeScript, Python, Java, and .NET, while AWS SAM offers shorthand YAML for serverless resources that is converted during deployment. The CloudFormation Registry supports third-party resources and modules, and stacks can be updated from remote Git repositories. The service is available through API, Linux, macOS, web, and Windows, and manages state. CloudFormation itself has a free plan, with no additional charge for AWS and Alexa resource providers, but created AWS resources are billed at their standard rates. Third-party provider and custom hook operations may also incur charges. Access can be managed with IAM, and CloudTrail logs API calls.

DryRun Security IaC Security scans infrastructure-as-code changes for security risks by analyzing infrastructure and application code together. It covers Terraform, Kubernetes, and other IaC, with checks for overly permissive IAM policies, publicly exposed resources, insecure defaults, and subdomain takeover risks. Scans run in pull requests and provide guidance during infrastructure design. Teams can write natural-language guardrails for public access, permitted cloud regions, approved resource types, and organization-specific requirements; the Custom Policy Agent enforces them on changes. Terraform findings can appear as pull-request comments and Risk Register entries containing the affected resource, risk description, and remediation guidance. Listed integrations include Claude Code, Claude Desktop, Codex, Cursor, GitHub, GitLab, and Slack. The SaaS service supports GitHub.com personal, organization, and Enterprise Cloud repositories, plus GitLab SaaS; custom instances and other source-control systems require contacting DryRun. DryRun says it uses private models, sends no data to public AI systems, stores minimal metadata and findings, and allows code-access revocation through repository permissions. Pricing is on request, aligned with team size, and a free trial is available.