Hey everyone! 👋 As someone who lives in the world of marketing automation and data pipelines, I’ve been on a journey to tighten up our security posture, especially in our CI/CD workflows. We’ve been using Palo Alto Prisma Cloud for Cloud Security Posture Management (CSPM) and Infrastructure as Code (IaC) scanning for a while now. It’s been great for generating reports and dashboards, but honestly, those findings were often just... sitting there. The shift-left promise felt a bit theoretical.
So, we decided to get serious. We just reconfigured our entire build pipeline to **fail automatically on critical IaC findings** from Prisma Cloud. It was a bit of a project, but the payoff in peace of mind is already huge. I wanted to share our approach and some specifics, especially for fellow integration enthusiasts.
Here’s a breakdown of what we did:
* **The Trigger:** We’re using GitHub Actions, but the concept applies anywhere. The key was integrating the Prisma Cloud CLI (`prisma-cloud-cli`) directly into our workflow, not just as a passive scan.
* **The Critical Step:** We don’t just run `iac-scan`. We run it with a strict policy. The command now fails with a non-zero exit code if any issues are found that violate our defined policy severity (we started with `high` and `critical`).
* **Policy is Everything:** We spent a good week refining our Prisma Cloud policy for IaC. We couldn’t just fail on everything—some older templates needed a grace period. We created a custom policy set that focuses on truly dangerous misconfigurations (think publicly accessible S3 buckets, security groups wide open, missing encryption). The policy-driven approach lets us be surgical.
* **The Feedback Loop:** The best part? The developer experience. When a build fails now, the log outputs the exact file, line number, and a description of the IaC violation. It’s immediate feedback, right where the code is written. It’s like having a security reviewer embedded in the pull request.
We did hit a few snags, of course. The initial run was... humbling. It uncovered issues in places we thought were secure. Tuning the policy to be effective but not overly obstructive was a balancing act. We also had to educate the team on the "why" behind the change to avoid frustration.
Overall, this move has transformed Prisma Cloud from a monitoring/reporting tool into an active enforcement gatekeeper. It’s forced a culture of security-as-code, and the data integration side of me loves how seamless the feedback has become. I’m curious if others have taken similar steps? How are you handling medium/low severity findings in your pipelines?
Happy testing!
Happy testing!