AI-assisted
Terraform PR
reviews
Catch security risks, cost changes, and Terraform quality issues before merge. InfraGuard AI turns scanner output into one clear Pull Request review comment.
🛡️ Terraform Review Summary
feat/new-storage-buckets
2 findings
Security
+$184/mo
Cost
3 issues
Style
+$84/month
cost delta
Terraform reviews are harder
than they look
A small Terraform diff can change security posture, cloud costs, and availability — but raw CI output gives reviewers little signal about what actually matters.
Hidden IAM Changes
A two-line policy change can silently grant overly broad permissions to any AWS resource.
Public Exposure Risk
One misconfigured attribute can expose S3 buckets or RDS instances to the entire internet.
Missing Encryption
Databases and storage can be provisioned without encryption enabled by default.
Invisible Cost Spikes
Resizing a single instance looks minor in a diff but can add thousands per month.
Too Much CI Output
6 separate scanner jobs produce hundreds of log lines that reviewers never fully read.
No Unified Context
Security, cost, and style issues live in separate tools with no consolidated view.
The average Terraform PR touches 6+ resource types and is reviewed in under 4 minutes
One review comment.
All the important signals.
InfraGuard AI collects scanner results, cost estimates, and lint output, then creates a ranked and readable summary your team can actually act on.
tfsec: [HIGH] aws-s3-block-public-acls — main.tf:42
tfsec: [MEDIUM] aws-s3-no-public-buckets — main.tf:38
tfsec: [LOW] aws-s3-versioning-enabled — main.tf:51
checkov: PASSED: CKV_AWS_18: S3 bucket logging
checkov: FAILED: CKV_AWS_19: S3 bucket encryption
checkov: FAILED: CKV_AWS_145: S3 KMS key
infracost breakdown --path .
Project: acme-corp/infrastructure
OVERALL TOTAL Monthly cost +$84.23
tflint: Warning - Missing description for variable
terraform fmt: modules/network/main.tf not formatted
Scattered across 6 CI jobs
1 High
Public S3 bucket — review before merge
2 Medium
Missing encryption + IAM wildcard
+$84/mo
EC2 resize: m5.xlarge → m5.2xlarge
3 Style
fmt + 2 tflint variable warnings
One PR comment with full context
Every angle, automatically covered
InfraGuard AI runs security, cost, and style analysis in parallel — so nothing slips through the cracks.
Security Review
Infrastructure risk analysis
Sample Output
HIGH
aws-s3-block-public-acls
modules/storage/main.tf:42
MEDIUM
aws-s3-encryption-customer-key
modules/storage/main.tf:38
PASSED
CKV_AWS_18: S3 access logging
Cost Review
Cloud spend impact analysis
Sample Output
Monthly cost breakdown
Style & Quality
Terraform code quality
Sample Output
fmt failed
modules/network/main.tf
inconsistent indentation
Warning
variables.tf:12 — missing description
Warning
outputs.tf:5 — missing description
AI explains.
It does not decide.
Deterministic tools find the facts. AI explains them. Humans approve the change.
Deterministic Tools
Find the facts
tfsec, Checkov, Infracost, and tflint produce structured, reproducible output based on policy rules — not AI guesses.
AI Layer
Explains the impact
Claude reads scanner output and rewrites it as plain language — what the risk is, why it matters, and how to fix it.
Human Reviewers
Make the final decision
Engineers see full context in one place and decide whether to approve, request changes, or block the PR.
The AI never invents findings. Every risk, cost change, and style issue traces back to a specific scanner rule and line of Terraform code.
From PR to review comment
in one automated step
InfraGuard AI integrates directly into your GitHub Actions workflow with a single configuration file.
Pull Request Opened
A developer opens or updates a PR with Terraform file changes
Terraform Detected
GitHub Actions triggers automatically on .tf file changes
Scanners Run
tfsec, Checkov, Infracost, and tflint execute in parallel
Findings Normalized
Raw scanner JSON is parsed, deduplicated, and ranked by severity
AI Explains Impact
AI summarizes each finding in plain language with remediation steps
PR Comment Updated
One structured comment appears with all findings and context
Pull Request Opened
A developer opens or updates a PR with Terraform file changes
Terraform Detected
GitHub Actions triggers automatically on .tf file changes
Scanners Run
tfsec, Checkov, Infracost, and tflint execute in parallel
Findings Normalized
Raw scanner JSON is parsed, deduplicated, and ranked by severity
AI Explains Impact
AI summarizes each finding in plain language with remediation steps
PR Comment Updated
One structured comment appears with all findings and context
GitHub Actions integration
One workflow file. Works on every PR automatically.
What the PR comment
actually looks like
A single, always-current comment. Every finding explained. Ready to act on.
feat/new-storage-buckets🛡️ Terraform Review Summary
1 findings
Security
+$84/mo
Cost delta
3 issues
Style
aws-s3-block-public-aclsS3 bucket has public ACL enabled. This exposes all bucket contents to the internet.
Fix: Set block_public_acls = true in aws_s3_bucket_public_access_block
aws-s3-encryption-customer-keyS3 bucket is not using server-side encryption with customer managed keys.
Fix: Add server_side_encryption_configuration block with aws:kms algorithm
aws-iam-no-policy-wildcardsIAM policy contains wildcard action (*) which grants excessive permissions.
Fix: Replace wildcard with specific actions: s3:GetObject, s3:PutObject
Do not merge
1 high severity security finding requires remediation before merge. Public S3 bucket access poses significant data exposure risk.
Start with visibility.
Enforce when ready.
Begin in comment-only mode and ratchet up enforcement as your team builds confidence. No disruption. No big-bang adoption.
InfraGuard AI posts a review comment with all findings but never blocks a merge.
workflow config
- uses: infraguard-ai/action@v1 with: block_on: 'none' post_comment: true
Change enforcement level anytime with a single config update — no workflow changes needed.
Analyze your Terraform plan
instantly, right here
Paste your terraform plan output or upload a plan file. Get an instant risk analysis — no backend, no sign-up.
Drop your plan file or click to upload
Accepts .txt, .json, or raw terraform plan output
Built for the teams who
own infrastructure
Whether you manage one Terraform repo or one hundred, InfraGuard AI fits your existing workflow.
Platform Engineering
Standardize infrastructure review across all repos
- Enforce consistent security policies at scale
- Reduce review bottlenecks for platform teams
- Track compliance across 50+ Terraform repos
Security Teams
Catch infrastructure risks before they reach production
- Shift-left security with every PR
- Automatic tfsec and Checkov analysis
- Prioritized findings by severity level
DevOps Engineers
Review Terraform changes faster with less CI noise
- One comment instead of 6 CI job logs
- Direct file and line number references
- Clear remediation suggestions per finding
FinOps Teams
Catch cost spikes before they hit your cloud bill
- Infracost-powered monthly estimates on every PR
- PR-level cost delta with resource breakdown
- Block expensive changes before merge
Engineering Managers
Give teams context to approve infrastructure changes confidently
- Non-experts can understand infrastructure impact
- AI plain-language summaries of scanner output
- Configurable enforcement from day one
Make Terraform reviews
faster, safer, and easier
to understand.
Install in minutes. Works with any GitHub repository using Terraform and GitHub Actions.