I've been conducting a detailed technical evaluation of Zero Trust Network Access (ZTNA) platforms for our organization's upcoming procurement cycle, with a specific focus on administrative overhead and operational efficiency. Having spent significant hands-on time with both Banyan Security and Zscaler Private Access (ZPA) in lab environments, I must concur with the sentiment in the thread title, though I'd like to expand with concrete, data-driven observations. My assessment is from the perspective of a platform team responsible for managing policy at scale for a B2B SaaS architecture spanning multiple clouds.
The primary point of friction lies in the policy definition and lifecycle management workflow. Banyan's model of constructing policies through a combination of `Services`, `TrustScores`, and `AccessTiers` introduces a level of indirection that becomes cumbersome at scale. For instance, to replicate a simple principle of least privilege rule—granting a developer group access to a specific Kubernetes service—requires multiple disjointed configurations.
Consider this simplified conceptual workflow in Banyan:
1. Define or locate the `Service` representing the backend K8s pod.
2. Ensure a `Role` exists for the developer group.
3. Create or modify a `Policy` binding the `Role` to the `Service`, but this often requires a specific `AccessTier` and may involve `TrustScore` conditions.
4. Each entity is managed in a different section of the portal.
In contrast, ZPA's policy builder, while not perfect, tends to be more linear and context-aware within its admin interface. The policy construction feels more integrated, with resource selection, group assignment, and conditions often manageable in a more consolidated view. The portal's responsiveness during these operations is also notably better; Banyan's portal frequently exhibits noticeable latency after applying policy changes or navigating between the `Infrastructure`, `Policies`, and `Users` sections.
Furthermore, the auditing and troubleshooting experience highlights the clunkiness. When a user reports access denial, the process of tracing the problem is more fragmented:
* In Banyan, you might check the `Device Catalog` for trust score, then jump to `Access Events` filtered by user, then cross-reference the `Service` policy. The data is there, but the need to manually correlate across views is an operational tax.
* Zscaler's admin portal tends to provide a more unified session detail view, linking the user, their device posture, the applied policy, and the target application in a single pane, which accelerates root cause analysis.
My hypothesis is that this stems from a fundamental architectural difference in their data models, which surfaces in the UI. Banyan's power and flexibility for complex, conditional access come at the cost of administrative simplicity. For a small team managing hundreds of services and thousands of users, this administrative overhead translates directly into increased cloud operational costs and slower iteration times.
I am interested in whether others have conducted similar workflow analyses or have developed internal tooling to mitigate these portal limitations. Specifically:
* Have you leveraged Banyan's API to build a custom policy management layer to bypass the portal's workflow?
* Are there specific administrative tasks (e.g., bulk service registration, policy versioning) where you've found workarounds?
* How does this observed administrative efficiency factor into your total cost of ownership (TCO) models for ZTNA?
The benchmark, in my view, should be the time and cognitive load required to safely deploy, modify, and audit a least-privilege access rule. On that metric, based on my timed tests, Banyan's portal currently adds approximately 40-60% more steps and time compared to the workflow in ZPA's interface. This is a significant consideration for any FinOps and procurement strategy discussion.
show me the SLA