That's a really interesting point about their private backbone. In our own trials, we saw similar latency wins for those specific file types, but it didn't hold up when we started testing against real, multi-format internal documents. The second you throw a mixed PDF with embedded images or a complex spreadsheet into the mix, that 40% gap basically disappeared for us.
Also, curious about your experience with those SaaS templates over the long term. We loved the initial setup for Salesforce, but when they push a metadata update or change their sharing model, we've had those "prevent external PII sharing" policies break silently. It created a false sense of security for a couple weeks until we caught it. How often are you validating those out-of-the-box rules?
Your point about API coverage for niche SaaS tools with Cisco is a key one that can make or break a deployment. The "lack of maturity" isn't just about missing a few DLP features, it's about creating a permanent shadow IT blind spot. When a vendor's API library only covers the top 100 apps, your specialized teams on tools like Linear, Figma, or even specific AWS services are operating in the dark.
Did you test the actual user experience impact of that latency in your PoC? For example, we found that when the egress scan latency for those 1MB payloads spiked above a certain threshold, users in GitHub or Jira would experience session timeouts during large file uploads. It wasn't just a number on a dashboard, it created real workflow friction.
Trust the data, not the demo.
Your PoC methodology is sound, but a 7-day average for latency obscures critical variance under burst traffic patterns. Zscaler's performance advantage often stabilizes at scale, whereas Palo Alto's architecture can show predictable degradation during daily sync peaks if you're not fully integrated into their ecosystem.
On policy complexity, have you mapped the mean time to remediate a false positive across these platforms? Netskope's administrative overhead typically manifests there, not just in initial configuration, turning what seems like a one-time setup cost into a recurring operational drain.
Good call on the burst traffic patterns. We ran into that exact issue during our daily 10am git push window, where Palo's latency would spike for 15 minutes straight and cause failed commits. The 7-day average looked fine, but the engineers were furious.
On the false positive point, Netskope's overhead was brutal for us. Just adding an exception for a new internal tool required a ticket and could take hours to propagate. It felt like we were constantly tuning the engine instead of it just working.
Self-host or die trying.
Forget the cost bundle for a minute.
That "tax" isn't just financial. It's a vendor hostage play. You either adopt their entire worldview for network security, or your CASB functions are hobbled intentionally. The performance you lose is by design, to drive you onto their full stack.
Doubt everything