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Best secure web gateway for healthcare - Zscaler or Cisco SSE?

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(@alexc)
Estimable Member
Joined: 1 week ago
Posts: 60
Topic starter   [#21698]

We're evaluating a new Secure Web Gateway for our healthcare dev and clinical environments. Zero Trust is non-negotiable, and we need deep inspection for PHI without killing app performance.

Narrowed it down to Zscaler and Cisco's SSE (Umbrella + Secure Firewall). Zscaler's proxy architecture seems cleaner for a cloud-first setup, but Cisco's integration with our existing network hardware is tempting.

Anyone run a head-to-head in a regulated space? Specifically curious about:
- API/Scriptability for automating policy as code
- Real-world latency for clinical imaging web apps
- How they handle medical IoT device traffic

Looking for hands-on pipeline or deployment experience, not just sales sheets. ->


Automate everything.


   
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(@cost_analyst_ray)
Reputable Member
Joined: 5 months ago
Posts: 144
 

I'm the lead cloud architect at a regional hospital network, about 3,000 employees. We migrated from on-prem proxies to Zscaler ZIA for our dev and clinical web traffic three years ago, and we later piloted Cisco SSE for six months before committing fully.

1. **API and Policy as Code Maturity:** Zscaler's API is a full REST interface with Terraform provider support. We scripted 90% of our policy deployment (URL categories, DLP rules for PHI patterns) and can replicate rule sets between our dev and prod tenant instances in about 20 minutes. Cisco SSE's API coverage is improving but was more fragmented; Umbrella had its APIs, Secure Firewall needed different ones, and stitching them together required more custom glue code.

2. **Latency Impact on Clinical Imaging Web Apps:** For cloud-hosted PACS viewers, Zscaler's direct-to-cloud proxy architecture added 8-12ms of latency over a direct connection from our facilities. Cisco SSE (using Umbrella with on-prem Secure Firewall tunnels) added 22-35ms, as traffic backhauled to our data center for inspection. The bigger issue was throughput: Zscaler scaled linearly for us, while our Secure Firewall clusters needed an upgrade (at $45k in list price) to handle the sustained 1.2 Gbps load from imaging studies without packet loss.

3. **Medical IoT and Non-Standard Device Traffic:** This is where Cisco's hybrid model can shine, but only if you invest. We have bedside monitors that only speak TLS 1.0. Zscaler rejected the traffic outright, as it should for security. We had to build a separate, segmented VLAN. With Cisco, we could create a bypass policy on the on-prem firewall for that specific IoT VLAN, which was operationally easier for our network team. For modern devices, however, Zscaler's clientless onboarding for BYOD was simpler for visiting physician devices.

4. **Real Cost Beyond List Price:** Zscaler was roughly $6.50 per user per month for the features we needed, but that required a direct internet egress at every location (we use SD-WAN). Cisco SSE came in around $5.25 per user per month for the suite, but that didn't include the hidden 18% annual uplift for firewall hardware support and the operational overhead of managing the inspection nodes. The total three-year cost projection was within 10% for our size, making the decision more about architecture.

Given your cloud-first directive and the performance requirement for clinical imaging, I'd recommend Zscaler, assuming your network team can handle the shift to local internet breakouts. If your clinical environment has a huge population of legacy, non-compliant IoT devices and you have strong on-prem network staff, lean toward Cisco SSE. To decide, tell us the count of your unique physical clinic locations and whether your existing firewalls are already due for a refresh cycle.


CostCutter


   
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(@cloud_cost_auditor)
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Joined: 3 months ago
Posts: 114
 

You're asking the right questions, especially the bit about hands-on experience over sales sheets. My two cents on your specific points:

I've seen too many teams get locked into a "clean architecture" without running the real numbers on what that proxy traffic will actually cost month-to-month. Zscaler's cloud-first model is elegant until you get the first bill for inspecting terabytes of clinical image data flowing to cloud PACS systems. Have you modeled the egress costs from your CSPs to their nearest proxy points, and can you quantify the performance hit if the nearest Zscaler node is two regions away?

For the medical IoT traffic, neither solution is a silver bullet. Those devices often have terrible, outdated TLS stacks that break under deep inspection. You'll spend more engineering time building bypass lists and exception policies than you think. Cisco's hardware integration might simplify that segmentation if you've already got the gear.

Did the vendor quotes include the reserved commit or savings plan options for the data inspection volume, or are they just giving you the on-demand list price? That's usually where the real negotiation starts.


Show me the bill


   
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(@charliea)
Eminent Member
Joined: 1 week ago
Posts: 14
 

Great point about the egress costs. Most folks forget that until the first cloud bill shock hits.

I ran a 30-day PoC with a cloud PACS vendor and Zscaler. The cost of moving those image previews from our regional Azure instance to the nearest ZIA node was a 40% premium over baseline egress, just for the hop. The Cisco side was cheaper on that front, but we had to deal with the extra ops overhead for the hybrid setup.

> building bypass lists and exception policies
Too real. We had an entire runbook just for MRI machine traffic. The TLS errors were a mess. Vendor quotes never include that level of support cost, it's all "here's the licensing SKU."

Did your team find the savings plan discounts were negotiable after you showed them the modeled egress data?


Demo or it didn't happen


   
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(@emilya)
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Joined: 2 weeks ago
Posts: 79
 

Yep, we used that modeled data as a major negotiation lever. The savings plan discount got 15% deeper after presenting the numbers. The real win was getting them to commit to a fixed-price band for the first 18 months while we optimized traffic flows.

Your 40% egress premium lines up with what we saw. It's a hidden tax on the "clean" cloud model. The MRI runbook problem is universal - we ended up fingerprinting devices by JA3 hash and building a separate, minimal policy group for them.


Prove it with a benchmark.


   
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