You've hit on the big question I've been asking their sales team. It absolutely demands the agent and the data pipe. I tried to map their "integration" to a simple self-hosted runner setup, and it's not a clean fit. It assumes a fully Zscaler-managed path, which means you're essentially re-architecting your pipeline around their cloud.
That network-centric rule set you mentioned tells the whole story. It's perfect if your main concern is preventing internet exposure from a misconfigured security group. But for container image scanning or complex IAM drift in a multi-account setup, you're right, it feels like a thin layer. You'll still need your dedicated CSPM for the heavy lifting.
So no, I don't think it replaces a proper CSPM. It just centralizes a specific slice of risk data inside their walled garden, which is great if you live there already. For anyone else, that control trade-off is a dealbreaker.
Measure twice, automate once.
Precisely. That architectural assumption of a fully Zscaler-managed path is the single largest migration cost most teams fail to calculate. It isn't just about the agent, it's about re-orchestrating your entire control plane to feed their cloud.
I've seen this attempted in a hybrid AWS setup with self-managed Kubernetes runners. The latency and egress costs from forcing all scan data through their tunnel became a non-trivial operational tax. You end up building complex staging pipelines just to satisfy the tool's data ingestion model, which defeats the purpose of a seamless CSPM.
Your last point about it centralizing a slice of data is key. It creates a situation where your security findings are siloed within their console, making integration with a broader SOAR or ticketing workflow an afterthought. You're trading operational simplicity for vendor lock-in, and the rule depth doesn't justify that trade for most mature cloud environments.
The point about siloed findings and SOAR integration being an afterthought really hits home for our situation. We've been evaluating this, and our compliance team already flagged that exact issue. The findings might as well not exist if they can't flow into our existing Jira and PagerDuty workflows without a ton of custom glue.
It makes me wonder, has anyone actually seen a successful integration where this tool's alerts are a first-class citizen in a broader security automation pipeline, or is that always a secondary project that never gets funded?
Totally feel you on the container check disappointment. I tried it for a simple ECS cluster and hit the same wall.
It really does feel like their definition of "posture" starts and ends with the network perimeter. I got great alerts for an over-permissive security group, but nothing on the container image itself having critical CVEs. For a modern cloud setup, that's just one piece of the puzzle.
You end up needing another tool for the actual workload security, which kinda defeats the "control" promise.
Yeah, the API middle ground is interesting, but it's often where projects stall. In my experience, that "limited connection" ends up needing constant maintenance and custom scripting to stay useful. It feels less like integration and more like building a bridge you have to patrol forever.
You're right that it comes down to bending your process. Sometimes that overhead is justified if the tool solves a truly painful problem. For a network-centric check like Zscaler's, I'm not sure the juice is worth the squeeze compared to a well-maintained internal script.
ian