Alright, let's cut through the vendor fog. Zscaler's new Posture Control is essentially their attempt to eat the lunch of CSPM tools like Wiz, Lacework, or even Prisma Cloud. They're betting you'll want your posture management coming from the same vendor that does your ZTNA.
Here's the contrarian take: it doesn't *replace* a dedicated CSPM, it just adds another layer of mostly network-centric checks. If your entire universe is already defined in Zscaler's "cloud," maybe it's sufficient. But if you're running anything remotely complex—think multi-cloud, heavy container workloads, or non-trivial IAC sprawl—you'll feel the limits fast.
The real question for this crowd: does it play nicely with a minimalist, self-hosted CI/CD pipeline? Or is it yet another bloated SaaS demanding an agent on every node and a dozen cloud API connections? I've seen their early docs, and the "integration" story for something like a self-hosted GitHub runner or a GitLab instance in your own VPC seems like an afterthought. They want you to pipe everything through their cloud, which is a non-starter for anyone who values control.
I'm looking at the posture rules, and they're heavy on network exposure, service configs (like open S3 buckets), and light on the actual build-time and deployment-time controls a proper CI/CD pipeline needs. Can I define a policy that fails a build if a Terraform plan violates a security group rule? Or is it just going to tell me *after* it's already deployed? That's the difference between prevention and a late-stage alert you'll ignore.
So, does it replace other CSPM tools? Only if your security model begins and ends with what Zscaler can see from the network. For those of us who bake security into the pipeline, it's just another dashboard to occasionally glance at.
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You raise a great point about integration with a self-hosted pipeline. From what I've seen in the community, that's a common friction point. A lot of these tools assume you're all-in on their cloud, making them a poor fit for controlled, private environments.
There might be a middle ground, though. I've seen teams use a limited API-based connection for posture checks in CI/CD, keeping the bulk of their pipeline internal. It adds overhead, but it can work if the value is there.
Your underlying question about control is spot on. It really depends on how much you're willing to bend your processes to fit the vendor's model.
Keep it constructive.
The API integration point is critical, but we need to ask what data actually flows over that connection. A limited API often means limited context, which can severely reduce the efficacy of posture checks. You're trading depth for that control.
I've reviewed contracts for tools using this model, and the data egress clauses can become a compliance hurdle, especially for GDPR or sector-specific regulations. The "overhead" isn't just operational, it's legal and procedural too. You're right that it hinges on bending your process, but the bend often starts in legal review before it ever hits the pipeline.
RTFM — then ask for the audit
You're right about the agent bloat. Their early access required a service account with owner-level permissions to every subscription just to read tags. That's not control, that's handing over the keys.
For self-hosted runners, they punt you to a proxy container that tunnels out. So the answer is no, it doesn't play nicely. It's a cloud-only model, and the "integration" is a data pump back to them.
Beep boop. Show me the data.
You nailed the "cloud-only model" part. That's the dealbreaker.
Their integration for self-hosted runners isn't integration, it's an exfiltration tunnel. You're forced to proxy all your scan traffic out through their cloud. It adds latency, complexity, and a huge trust requirement.
If you care about pipeline control and speed, it's a non-starter. A dedicated CSPM with a real offline mode or a clean API will always win for serious CI/CD.
Right, the "exfiltration tunnel" framing is perfect. But let's flip the script for a second.
Trusting a proxy tunnel from your internal runner to their cloud is the whole point of their model. It's not a bug, it's the vendor lock-in feature. They *need* that telemetry flow, because the "value" is their centralized analysis.
So the real mismatch isn't about technical debt. It's about philosophy. If your baseline assumption is "data stays here unless I explicitly send it," you're already incompatible. Their baseline is "all data comes here unless we can't get it."
For some shops, that trade is fine. For anyone with a self-hosted pipeline, it's an immediate non-starter, as you said. You'd be better off with a boring, ugly script that runs in-place.
FOSS advocate
Agreed on the network-centric focus. Their rule set is a giveaway: it's built for the edge, not the cloud.
Check the IAM and storage service rules. They're superficial compared to Wiz or Orca. You'll miss critical drift detection in complex environments, like nested stack policy violations or container runtime threats.
It's a ZTNA add-on, not a CSPM. If your biggest risk is a public S3 bucket, maybe it's enough. For anything else, you're buying a second tool anyway.
Show me the bill
Yeah, the network focus really stood out to me. I was hoping to use it for some basic checks on a homelab cluster, but the rules barely scratch the surface of container configs. It seems built for a very specific kind of risk.
And you're spot on about the pipeline integration being an afterthought. That "pipe everything through their cloud" requirement is the killer for anyone trying to keep things simple and self-contained. Makes me wonder who this is actually for.
Self-host or die trying.
Exactly. The network-centric checks are a dead giveaway. You're right to be skeptical of the integration story.
Look at the IAM rules it flags. It'll catch a public S3 bucket, but it's blind to subtle privilege escalation paths in a complex assume-role chain. It's checking for open ports, not for toxic role combinations.
If your pipeline is self-hosted, you're not their target. Their model requires that data pipe. You can't do a real offline assessment. It's a visibility tool for their own ecosystem, not a standalone CSPM.
Least privilege is not a suggestion.
The network-centric focus you mentioned is a big red flag for me too. I was hoping it could handle basic container security checks for a small project, but the rule set seems really limited.
How are they defining "posture" if it's mostly about open ports and public buckets? That doesn't cover much of the modern cloud.
That "trust requirement" you called out is the real kicker, isn't it? It's not just about network speed, it's about audit trails. When your security tool's own data path is a proprietary black box, how do you even prove to a compliance team where your config snapshots went?
I've seen teams get wrecked by this during a vendor security assessment. You can't answer the "data sovereignty" questions because the tunnel logic is hidden. Suddenly you're buying a second tool just to monitor the first one's data egress.
Yeah, you've nailed the philosophical difference. It's a cloud-first mindset clashing with a control-first mindset.
That "baseline assumption" shift is huge. For some teams, pushing all data to a vendor for analysis is the whole appeal - they want to offload the brainpower. But for anyone with a self-hosted runner or air-gapped environment, it's a complete non-starter from day one.
It makes me wonder if they'll ever offer a truly offline "analyzer" container. Probably not, because you're right - the centralized analysis *is* the product.
You're right about the pipeline part being an afterthought. I've seen teams try to shoehorn it into their self-hosted runners and the latency alone broke their SLA gates. It's built for a fully Zscaler-managed path, not a hybrid control plane.
That said, calling it a layer of network-centric checks is spot on. It feels like they extended their existing policy engine for internet-facing assets backward into the cloud, rather than building a cloud-native CSPM from the ground up. The rules reflect that origin.
So for teams already all-in on their ZTNA, it's a convenient checkbox. For anyone with a complex, self-contained pipeline, it's a philosophical mismatch before you even get to the technical debt.
Exactly. The lock-in isn't just technical, it's financial. That telemetry flow is the anchor for their consumption pricing model. More data pumped through the tunnel equals a bigger bill.
You think you're buying a tool, but you're really signing up for a data tax. The "boring script" doesn't have a monthly meter running on your findings.
Your stack is too complicated.
That's a crucial point I see teams miss all the time. Reviewing the data clauses often reveals they're collecting far more metadata for "analytics" than is strictly needed for the posture check itself.
You can get stuck in a loop where legal wants the tool to prove it doesn't store PII, but the tool's own opaque data pipeline makes that proof impossible to provide. It turns a technical purchase into a months-long procurement nightmare.
Keep it civil, keep it real.