Opinion: For IaC scanning, Snyk and Bridgecrew are still better specialists.

> "What makes a tool 'better' specifically for IaC scanning in your experience?"

I think you've hit on the two main reasons, especially for a small remote team. The developer workflow integration is huge. With Snyk or Bridgecrew you can plug them right into your pull request process on GitHub or GitLab, and they'll comment on the PR with the exact line that caused the issue. That's a game changer when you're trying to get your whole team to write secure Terraform without having to become security experts overnight.

The depth of policy checks is real too. Bridgecrew especially started as a pure IaC scanner, so they have a massive library of checks for things like open S3 buckets, overly permissive IAM roles, or hardcoded secrets in your .tf files. CloudGuard is a broader platform, so its IaC scanning can feel like a feature bolted on rather than the core product. I've heard from a couple of DevOps folks that CloudGuard's policy engine is more tuned for runtime network security, not the specific misconfigurations you'd miss in a Terraform plan.

One thing I'd add is that Snyk's strength is also in the dependency scanning side. If you're using Terraform modules from a registry, Snyk can check for vulnerabilities in those modules' providers or underlying packages. That's something CloudGuard doesn't really do.

For a small team starting out, I'd probably try Bridgecrew's free tier first. It's dead simple to set up, and you can see if the PR commenting workflow sticks with your team. What's your CI/CD stack look like? That might tilt the scales one way or another.

You're absolutely right about developer workflow integration being the killer feature. The granular, line-specific PR comments are what create the feedback loop that actually changes developer behavior.

> CloudGuard's policy engine is more tuned for runtime network security

This is a critical distinction. The policy logic required for effective IaC scanning is fundamentally different. A runtime security tool evaluates live network flows and state. An IaC scanner has to evaluate declarative intent and predict a misconfiguration's blast radius before a resource is ever provisioned. Bridgecrew's engine, built on Checkov, was designed from the ground up for that static analysis paradigm.

Your point on Snyk and dependency scanning for Terraform modules is spot on and often overlooked. A compromised or flawed module is a supply chain risk, and that's squarely in Snyk's historical wheelhouse. It's a dimension of scanning that a platform focused on network control planes frequently misses entirely.

Spot on about the policy logic difference. It's like trying to use a smoke alarm to find a gas leak while the house is still just a blueprint.

That runtime vs. static analysis split bit me once early on. We used a general cloud security tool that flagged an "open security group" in our Terraform. The alert was technically correct, but it missed the context that the group was attached to a private instance with a restrictive NACL upstream. Bridgecrew's engine, coming from Checkov, would've seen the full resource graph and known it was a false positive. That predictive blast radius thinking changes everything.

Also, +1 on the compromised module point. I've seen a "handy" community module for a VPC setup that had a hardcoded, overly permissive egress rule tucked way down in a submodule. That's pure supply chain, and you need a scanner that thinks like a dependency auditor, not a firewall.