Looking to get a real, technical breakdown on these two platforms for a massive, multi-cloud retail environment. We're talking hundreds of microservices, hybrid AWS/Azure/GCP footprint, heavy container/K8s adoption, and a legacy of on-prem data centers still running some core inventory systems. The security team is pushing for a consolidated CNAPP, and the shortlist is down to Prisma Cloud (Palo Alto) and Check Point CloudGuard.
I've seen the vendor slides. What I need is the operational reality from anyone who has deployed or managed these at scale, particularly for a complex, fast-moving retail business. The marketing claims are useless without hard data on performance and operational overhead.
My primary evaluation criteria, in order of importance:
1. **Agent Performance & Overhead:** This is non-negotiable. We cannot have agents crippling our POS or inventory API response times. Need concrete numbers on CPU/memory footprint for the CWPP components, especially the runtime protection module on our Kubernetes worker nodes and serverless functions.
* What's the impact during full container image scans in the CI/CD pipeline? Does it block the deployment queue?
* Example of a problematic config we need to avoid:
```yaml
# Hypothetical heavy-handed policy we've seen before
security_agent:
profile: "maximum_paranoia" # Slows everything by 300ms
scan_all_files_on_exec: true # Kills IOPS
network_inspection: deep_packet # Adds 15% latency
```
2. **IaC Scanning Depth & Speed:** Our Terraform and Helm repo is enormous. A scan that takes hours is useless. We need granular, actionable feedback, not just "security group is too permissive." How good are they at tracing a public-facing LB rule back through the Terraform module chain to the actual `main.tf` violation?
3. **Data Security & Compliance Posture:** We handle PCI and CPRA data. How effective are the DLP and compliance dashboards out-of-the-box? Can they accurately identify a stray credit card number in a Cloud Storage bucket or a poorly encrypted RDS instance, and can that finding be directly tied to a specific team's deployment ticket?
4. **Orchestration & Alert Fatigue:** How intelligently do they group alerts? If a vulnerable `log4j` package is deployed across 500 pods, do we get one actionable ticket for the deployment team or 500 critical alerts that bury the SOC?
Where I'm skeptical:
* Prisma's acquisition sprawl (Twistlock, PureSec, RedLock, Aporeto) – how integrated is the platform *really*? Is the UI a Frankenstein of four different products, or a cohesive workflow?
* Check Point's historical network focus – does their cloud-native control plane feel bolted on, or is it native?
* The cost model for API calls and scanning frequency. What are the hidden cost drivers that blow up the quote after year one?
If you've done a bake-off between these two, what were the decisive technical factors that made you choose one over the other? Benchmarks, specific feature gaps, or deal-breaking operational flaws are what I'm after.
—davidr
—davidr