{"slug":"checkov","name":"Checkov","domain":"checkov.io","verdict":"As of 2026-07-18, ChatGPT, Claude, Gemini, Grok collectively rank Checkov first for infrastructure-as-code security scanners for ci pipelines (one of 2 leaderboards it appears on). Source: https://modelsagree.com/product/checkov (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":2,"brief":{"category":"best-infrastructure-as-code-security-scanners-for-ci-pipelines","title":"Best infrastructure-as-code security scanners for CI pipelines","rank":1,"of":7,"top":null,"day":"2026-07-18","why":[{"t":"broadest multi-IaC coverage","m":["ChatGPT","Claude","Gemini","Grok"],"q":"Broadest multi-IaC coverage"},{"t":"graph-based cross-resource analysis","m":["ChatGPT","Claude","Gemini","Grok"],"q":"strong graph-based cross-resource analysis"},{"t":"easy custom policies","m":["ChatGPT","Claude","Gemini"],"q":"easy custom policies in Python or YAML"},{"t":"excellent CI/CD integration","m":["ChatGPT","Claude","Grok"],"q":"excellent CI/CD integration"}],"gap":[],"fix":[{"t":"noisy out of the box","m":["ChatGPT","Claude"],"q":"Noisy out of the box"},{"t":"invest in suppressions and baselines","m":["ChatGPT","Claude"],"q":"teams must invest in suppressions/baselines or drown in findings"},{"t":"slower CI/CD runtimes","m":["Gemini"],"q":"Substantially higher resource overhead and slower CI/CD runtimes compared to Go-based alternatives"}]},"entries":[{"slug":"best-infrastructure-as-code-security-scanners-for-ci-pipelines","title":"Best infrastructure-as-code security scanners for CI pipelines","rank":1,"of":7,"score":19,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":1,"Gemini":2,"Grok":1},"reason":"Broad, mature coverage across Terraform/OpenTofu, plans, CloudFormation, Kubernetes, Helm, Kustomize, Bicep, ARM, Serverless, and pipeline files; graph-based checks, custom policies, suppressions, SARIF, and strong CI ergonomics make it the best all-purpose choice. Near-tied with Trivy, assuming IaC depth matters more than one-tool simplicity.","reasons":[{"model":"ChatGPT","reason":"Broad, mature coverage across Terraform/OpenTofu, plans, CloudFormation, Kubernetes, Helm, Kustomize, Bicep, ARM, Serverless, and pipeline files; graph-based checks, custom policies, suppressions, SARIF, and strong CI ergonomics make it the best all-purpose choice. Near-tied with Trivy, assuming IaC depth matters more than one-tool simplicity."},{"model":"Claude","reason":"Still the deepest open-source IaC policy engine in 2026 — thousands of built-in checks across Terraform, CloudFormation, Kubernetes, Helm, ARM/Bicep, and serverless, graph-based analysis that resolves variables and module relationships (catching issues line-based scanners miss), easy custom policies in Python or YAML, and free CI integration with SARIF/JUnit output; assumption: practitioner wants maximum coverage without a paid platform, tolerating Prisma Cloud upsell nudges"},{"model":"Grok","reason":"Broadest multi-IaC coverage (Terraform, CloudFormation, Kubernetes/Helm, ARM, Bicep, Ansible, etc.) with 1,000+ policies including strong graph-based cross-resource analysis, excellent CI/CD integration"},{"model":"Gemini","reason":"Broadest native policy coverage (1,000+ rules) with graph-based scanning that resolves multi-resource relationships and dependencies, and simple Python/YAML extensibility."}],"fixes":[{"model":"ChatGPT","fix":"Its large rule set can be noisy and requires deliberate baselining and suppression governance."},{"model":"Claude","fix":"Noisy out of the box — teams must invest in suppressions/baselines or drown in findings, and the best management UX sits behind Palo Alto's paid Prisma Cloud"},{"model":"Gemini","fix":"Substantially higher resource overhead and slower CI/CD runtimes compared to Go-based alternatives, which degrades pre-commit and local developer feedback loops."}],"updated":"2026-07-18","rank_history":{"days":["2026-07-17","2026-07-18"],"ranks":[1,1]},"api":"https://modelsagree.com/api/v1/best/best-infrastructure-as-code-security-scanners-for-ci-pipelines.json"},{"slug":"best-policy-as-code-tools-for-terraform-ci-pipelines","title":"Best policy as code tools for Terraform CI pipelines","rank":1,"of":8,"score":17,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":3,"Gemini":2,"Grok":1},"reason":"Best overall for most teams: strong built-in Terraform security and compliance coverage, source and plan scanning, graph-aware checks, custom Python or YAML policies, suppressions, and mature CI/SARIF output.","reasons":[{"model":"ChatGPT","reason":"Best overall for most teams: strong built-in Terraform security and compliance coverage, source and plan scanning, graph-aware checks, custom Python or YAML policies, suppressions, and mature CI/SARIF output."},{"model":"Grok","reason":"Delivers the highest real-world value for typical Terraform CI practitioners via 1000+ built-in policies (including 800+ graph-based checks that catch cross-resource issues static scanners miss), plan JSON support, YAML/Python custom policies, and zero-friction CLI/CI integration; active maintenance and free/open-source status make it the practical default for immediate security/compliance coverage without heavy policy engineering investment"},{"model":"Gemini","reason":"Delivers immediate out-of-the-box value with over 1,000 pre-built security and compliance rules for Terraform HCL and plan files, graph-based relationship checking across modules, and intuitive custom policy creation in simple YAML or Python. Assumes fast developer onboarding is prioritized over minimal pipeline execution time."},{"model":"Claude","reason":"Largest out-of-the-box policy set for Terraform (thousands of checks across AWS/Azure/GCP/K8s), trivial to drop into any CI as a pip/Docker step, graph-based checks catch cross-resource issues, and custom policies are writable in Python or YAML — highest security value per minute of setup."}],"fixes":[{"model":"ChatGPT","fix":"Its broad rule set can create substantial noise and exception maintenance; teams wanting only precise bespoke guardrails may prefer Conftest."},{"model":"Claude","fix":"Its strength is prebuilt security/compliance checks, not expressive bespoke governance; deeper features and central management push you toward paid Prisma Cloud, and large repos generate noise needing suppression tuning."},{"model":"Gemini","fix":"Generates a high volume of false positives out of the box requiring initial triage, with significant memory and execution overhead on large codebases due to its Python runtime."},{"model":"Grok","fix":"Not a full general-purpose policy engine—expressiveness for complex multi-system or highly custom org logic lags pure Rego tools, so it is not for teams that need portable policies beyond IaC scanning"}],"updated":"2026-08-10","rank_history":{"days":["2026-08-03","2026-08-10"],"ranks":[1,1]},"api":"https://modelsagree.com/api/v1/best/best-policy-as-code-tools-for-terraform-ci-pipelines.json"}],"page":"https://modelsagree.com/product/checkov","check":"https://modelsagree.com/check?q=Checkov","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}