Top Infrastructure as Code Security Tools Compared (2026)

Infrastructure as code has shifted security left, but choosing the right scanning tool matters. The IaC security space includes everything from CDK-native tools to multi-cloud platforms that scan Terraform, CloudFormation, Kubernetes manifests, and ARM templates. This comparison focuses on tools relevant to AWS CDK users, covering both CDK-specific options and the generic IaC scanners teams commonly evaluate alongside them.

CDK Insights

CDK Insights is purpose-built for AWS CDK. It runs 280+ static analysis rules covering 30+ AWS services, and it includes all CDK Nag rule packs as part of its analysis engine. On top of rule-based scanning, Pro and Team users get AI-powered analysis that examines the synthesized CloudFormation template for architectural issues, cross-resource misconfigurations, and optimization opportunities that pattern-matching rules cannot detect.

The tool runs as a CLI (npx cdk-insights scan), as a CDK Aspect, or through a GitHub Action. Output formats include table (for terminals), JSON (for CI pipelines), Markdown (for PR comments), and a summary view. The web dashboard tracks findings over time and supports team collaboration.

Best for: Teams building with AWS CDK who want the deepest CDK-specific coverage plus AI analysis.

Pricing: Free tier (unlimited static analysis), Pro and Team paid plans. See pricing.

Limitation: AWS CDK only. Does not scan Terraform, Pulumi, or raw CloudFormation directly.

CDK Nag

CDK Nag is the original open-source CDK security tool, maintained by cdklabs. It runs as a CDK Aspect during synthesis, checking every construct in your app against compliance rule packs (AWS Solutions, HIPAA, NIST 800-53, PCI DSS). When a construct violates a rule, CDK Nag throws an error or warning depending on the rule severity.

CDK Nag is deeply integrated with the CDK construct tree. It can inspect L2 and L3 construct properties before they resolve to CloudFormation, which gives it access to information that post-synthesis scanners do not have. Suppressions are managed through construct metadata, keeping compliance decisions in version control.

Best for: Teams that want synthesis-time enforcement and compliance pack attestation.

Pricing: Free and open-source (Apache 2.0).

Limitation: No dashboard, no AI analysis, console-only output. For a full comparison, see CDK Insights vs CDK Nag.

Checkov

Checkov (by Prisma Cloud, formerly Bridgecrew) is a multi-framework IaC scanner written in Python. It scans Terraform, CloudFormation, Kubernetes manifests, Helm charts, ARM templates, and Dockerfiles. For CDK users, Checkov scans the synthesized CloudFormation templates in your cdk.out directory.

Checkov ships with over 1,000 built-in policies covering AWS, Azure, and GCP. It supports custom policies written in Python or YAML. The graph-based analysis engine can trace relationships between resources, catching issues like "this security group allows ingress from 0.0.0.0/0 and is attached to an RDS instance."

Best for: Multi-cloud teams using Terraform, CloudFormation, and Kubernetes who want one scanner.

Pricing: Open-source (Apache 2.0). Prisma Cloud adds enterprise features.

Limitation: No CDK-specific context. Scans CloudFormation output, not CDK constructs. Cannot identify CDK anti-patterns or suggest CDK-level fixes.

tfsec (Trivy)

tfsec was one of the most popular Terraform security scanners before it was absorbed into Aqua Security's Trivy project in 2023. Trivy now provides IaC scanning alongside its container image and filesystem vulnerability scanning. For CDK users, Trivy can scan synthesized CloudFormation templates, though its rule coverage is primarily oriented around Terraform.

Trivy's CloudFormation support includes checks for common AWS misconfigurations across S3, IAM, RDS, EC2, and other core services. It produces SARIF, JSON, and table output. The Terraform rules are significantly more comprehensive than the CloudFormation ones, which reflects the tool's origin.

Best for: Teams already using Trivy for container scanning who want to add IaC checks.

Pricing: Free and open-source. Aqua Platform adds enterprise features.

Limitation: CloudFormation rule coverage lags behind Terraform support. No CDK awareness.

Snyk IaC

Snyk IaC is part of the broader Snyk developer security platform. It scans Terraform, CloudFormation, Kubernetes, and ARM templates for misconfigurations. Snyk's strength is its integration with the development workflow: it provides IDE plugins, CLI scanning, Git repository monitoring, and PR checks out of the box.

For CDK teams, Snyk scans the synthesized CloudFormation output. The platform connects findings to Snyk's vulnerability database, which is useful if you are already using Snyk for dependency scanning. Custom rules use Rego (Open Policy Agent's policy language), which has a learning curve but is powerful for expressing complex policies.

Best for: Teams already on the Snyk platform who want unified dependency and IaC scanning.

Pricing: Free tier (limited scans), Team and Enterprise paid plans.

Limitation: No CDK-level analysis. Custom rules require Rego knowledge. IaC scanning is one part of a larger platform, not the core focus.

Bridgecrew (Prisma Cloud)

Bridgecrew was the company behind Checkov before Palo Alto Networks acquired it and integrated it into Prisma Cloud. The Prisma Cloud platform wraps Checkov's scanning engine with an enterprise dashboard, drift detection, runtime visibility, and supply chain security features. It scans the same frameworks as Checkov.

For CDK users, Prisma Cloud offers the same CloudFormation scanning as Checkov plus integration with your VCS for automated PR scanning, a centralized dashboard, and policy-as-code management. The platform also correlates IaC findings with runtime configuration, showing whether a misconfiguration in code actually made it to production.

Best for: Enterprise teams that need IaC scanning as part of a comprehensive cloud security platform.

Pricing: Enterprise pricing (contact sales). Free trial available.

Limitation: Enterprise pricing puts it out of reach for small teams. The CDK-specific coverage is identical to Checkov (CloudFormation-level only).

Quick Comparison

CDK-Specific vs Generic IaC Scanners

The fundamental tradeoff in this space is depth versus breadth. Generic IaC scanners like Checkov and Trivy support many frameworks and cloud providers. They scan the output of your CDK synthesis (the CloudFormation template in cdk.out/), which means they work with any CDK project without additional setup. But they cannot see CDK-level constructs, patterns, or anti-patterns. A generic scanner sees an AWS::Lambda::Function resource; a CDK-aware tool sees a NodejsFunction construct with specific bundling and runtime configuration.

CDK-specific tools (CDK Insights and CDK Nag) understand the CDK programming model. They can identify issues at the construct level, suggest CDK-native fixes (like using bucket.grantRead() instead of writing a raw IAM policy), and catch patterns that only exist in CDK code, such as overly permissive grant methods or missing removal policies.

For teams that use CDK exclusively, a CDK-specific scanner provides better findings with less noise. For teams that mix CDK with Terraform or raw CloudFormation, adding a generic scanner alongside a CDK-specific one gives the broadest coverage.

How to Choose

Start with what you actually use. If your entire infrastructure is AWS CDK, a CDK-specific tool like CDK Insights gives you the most relevant findings with the least configuration. If you run Terraform alongside CDK, you will likely need Checkov or Trivy for the Terraform side and a CDK-specific tool for the CDK side.

Consider your team size. Solo developers and small teams benefit from tools with low setup cost and clear output. Enterprise teams need dashboards, collaboration features, and compliance reporting. The open-source tools (CDK Nag, Checkov, Trivy) have zero cost but require you to build reporting and tracking workflows yourself.

Finally, think about what you want to catch. Rule-based scanners find known patterns. AI-powered analysis (currently only available in CDK Insights) finds novel issues by understanding the relationships between your resources. The most thorough approach combines both: run static rules on every commit and AI analysis on pull requests.