Our team recently completed a six-month evaluation of Snyk Container (within Snyk Open Source) versus Prisma Cloud for our Kubernetes workloads. The primary goal was to shift-left container vulnerability management into the CI pipeline, but with sufficient runtime context to prioritize remediation effectively.
Snyk Container performed adequately in the CI phase. Its CLI integration was straightforward, and the fix advice for base image upgrades was clear. However, we found its posture purely scan-based. When we tried to correlate findings with our running production deployments, the context was limited. We couldn't easily answer questions like:
* Is this specific vulnerable package actually loaded in the running container?
* Which specific deployment, across all clusters and namespaces, is affected right now?
* What is the network exposure of the vulnerable workload?
Prisma Cloud, while more complex to deploy, provided this runtime intelligence automatically. Its agent-based approach showed us which vulnerabilities were actively exploitable in production, factoring in process activity, network rules, and cluster permissions. This allowed us to deprioritize thousands of "theoretical" CVEs from CI scans that posed no actual runtime risk.
Our conclusion is that Snyk Container is a competent scanner for the pipeline. For a comprehensive FinOps and security posture, however, the runtime context Prisma Cloud provides was critical for efficient resource allocation. We stopped chasing vulnerabilities that didn't materially affect our risk profile. The cost-benefit analysis favored the integrated platform for our scale.
—EK
Your bill is too high.