Find what's
misconfigured
before it ships.
Most IaC scanners flag every deviation from a security benchmark regardless of whether the resource is deployed, internet-facing, or even attached to anything. 00felix scans your Terraform, CloudFormation, and Kubernetes configs, analyzes deployment context to understand what's actually exposed, then validates every finding with AI before it becomes a ticket. Real misconfigurations only.
Every resource.
Every misconfiguration.
00felix parses your infrastructure definitions natively across Terraform, CloudFormation, Kubernetes manifests, Helm charts, and Ansible playbooks. It builds a complete resource graph from your IaC files, resolving module references, variable substitutions, and cross-stack dependencies, so it understands what your infrastructure actually looks like when deployed, not just what individual files say in isolation.
Every finding is anchored to the exact resource, block, and line in the file where the misconfiguration lives. An open S3 bucket in module/storage/main.tf at resource aws_s3_bucket.uploads is a different finding from one in module/logs/main.tf, and 00felix tracks them separately with their full context.
Every class of misconfiguration
across your infrastructure.
The same misconfiguration means something different in prod than in dev.
An open S3 bucket in a dev workspace that's never touched by production traffic is not the same risk as an open S3 bucket holding production customer data. A security group open to 0.0.0.0/0 on port 22 in an isolated development VPC with no internet gateway is not the same as the same rule on a production database server.
00felix resolves your Terraform workspaces, CloudFormation stacks, and Kubernetes namespaces to understand which resources are deployed to which environments, what data they handle, and what network paths reach them. Misconfigurations on non-production resources with no sensitive data are deprioritized. The same misconfiguration in production is escalated. Traditional IaC scanners treat both identically.
Deployed and exposed doesn't
always mean exploitable.
AI validates the difference.
Deployment context tells you whether a misconfigured resource is in production and reachable. It doesn't tell you whether the specific configuration is intentional or whether there's a compensating control elsewhere that changes the risk. A public S3 bucket serving a static marketing website is functioning as designed. A public S3 bucket that happens to store CloudTrail logs is a critical finding. The IaC definition for both looks identical to a scanner without context.
00felix runs an AI validation pass on every deployed, exposed finding to assess real-world risk: is this configuration intentional based on the resource's tags, purpose, and data classification? Is there a WAF, a CloudFront distribution, or an IAM policy boundary that changes the exposure? Findings that clear AI validation are confirmed. Findings that don't are dismissed with a specific, readable reason. Every decision is visible and can be overridden by your team.
From IaC file to confirmed
finding in one pass.
Now it fixes it.
Find out what's actually
misconfigured in your infrastructure.
Run 00felix IaC scanning on any GitHub repo in minutes.
No setup. No sales call. No credit card.
