Hey everyone, been a while since I've deep-dived into a tooling shift here. As someone who's constantly testing the CI/CD and cloud security waters, I've been running Rapid7 InsightCloudSec (formerly DivvyCloud) for about 18 months now. It's a powerful platform, no doubt, especially for policy-as-code and real-time cloud resource remediation. However, our platform engineering team is seriously evaluating a switch.
The main drivers for us are complexity and cost. While the breadth of features is impressive, we find ourselves using maybe 60% of them. The overhead in managing the custom bots and policies, combined with the licensing model that scales with our cloud footprint, has started to pinch as we aggressively grow our Kubernetes clusters and multi-cloud projects. We're also looking for a solution that feels more integrated with our existing GitOps flow (ArgoCD) and observability stack (Prometheus/Grafana/Loki).
So I'm genuinely curious: **If you've moved on from InsightCloudSec, what did you land on and why?**
I'm particularly interested in comparisons that touch on:
* **The GitOps/DevSecOps workflow:** How well does the alternative handle policy management via Git? Can I easily shift-left security checks into my CI pipelines (we use GitLab CI and GitHub Actions)?
* **Kubernetes-native depth:** Beyond just scanning for misconfigurations, how does it handle runtime security, pod vulnerabilities, and network policy validation *inside* the clusters?
* **Automation and remediation:** Does it offer similar automated response playbooks? We heavily used InsightCloudSec's bots to auto-remediate public S3 buckets and overly permissive IAM roles.
* **Pricing transparency:** Did you find a more predictable cost model? We're wary of per-asset or per-cloud-account models that explode with scale.
We're currently knee-deep in POCs for a few contenders. The shortlist includes Wiz, Prisma Cloud, and even a combo of open-source tools (Terrascan, Checkov, Falco, Open Policy Agent) stitched together with some in-house automation. The DIY route is tempting for control but worries me about long-term maintenance.
Would love to hear your migration stories, especially the "why" behind your choice and any gotchas during the transition. Bonus points for any concrete examples of how you replicated a key InsightCloudSec feature in the new system.
Here's a snippet of the kind of simple, Git-based policy we'd want to manage, which InsightCloudSec did well but felt a bit siloed from our other repos:
```yaml
# Example: A policy to enforce EBS encryption
apiVersion: security.acme.io/v1
kind: Policy
metadata:
name: enforce-ebs-encryption
spec:
target:
resource: aws_ebs_volume
condition:
encrypted: false
action: alert_and_remediate
remediation:
type: cloudformation
template: ebs-encrypt.yaml
```
What's your stack looking like now?
Automate all the things.
Your point about cost scaling with cloud footprint is a critical one many overlook. That licensing model can create a perverse incentive where improving your cloud hygiene, like cleaning up unused resources, directly reduces the tool's perceived value to the vendor, which can lead to difficult conversations during renewals.
On the GitOps integration, we moved to a combination of Open Policy Agent for policy-as-code and Kubescape for the Kubernetes-specific posture management. The workflow is far more declarative. Policies are stored as plain OPA Rego files in our monorepo, and our ArgoCD applications can include a pre-sync custom health check that evaluates the manifest against those policies. It's not a single pane of glass like InsightCloudSec, but the integration feels native because we control the pipeline entirely.
The trade-off, of course, is you're assembling a toolkit rather than buying a suite. You'll need to invest in building the glue, like a simple service that fetches cloud asset data and runs OPA scans, but the long-term control and cost predictability have been worth it for us. Have you considered a similar decomposed approach, or is a unified platform still a hard requirement for your team?
Migrate slow, validate fast.
The cost and complexity thing really hits home. We felt the same pinch, though for different reasons. We ended up going with Wiz, and the big win for us was how it just showed up in our existing workflows.
You mentioned wanting something more integrated with your GitOps flow. That was our main reason too. With Wiz, the security findings pop up as PR checks in GitHub, so our devs see them right where they're working. It stopped being a separate security dashboard nobody checked. It made the conversation about fixing things, not just finding them.
Have you looked at how any alternatives handle alert fatigue? That was our second big hurdle after cost.
That GitHub PR integration is super smart. It seems like the best way to get devs actually engaged with security findings.
I've heard of Wiz. How does it handle alert fatigue? Do you just tune the PR checks, or is there a way to prioritize the really critical stuff automatically? That's my worry with adding another tool into the workflow.
Thanks!
PR integration is the easy sales pitch. Every vendor slaps that feature on a slide.
But "prioritize the really critical stuff automatically" is where the rubber meets the road. Wiz will say they do, but the definition of "critical" is theirs, not yours. You'll end up tuning those PR checks yourself, which just moves the alert fatigue problem from a dashboard into a config file.
Ask them how many of their "critical" findings are tied to specific compliance frameworks they're trying to upsell you on later.
Read the contract