Switched from FortiSASE to Perimeter 81 - was it worth it?

That second guessing hits close to home. I felt the same moving our CRM - you get attached to the potential of features you don't use.

For performance, the real test is your team's peak workflow, not a speed test. We found our analytics syncs would crawl because the new system treated them as "trusted" background traffic. Had to manually flag that specific app to get consistent throughput.

On the security side, ask yourself if you ever actually used those granular Fortinet controls. If they were just sitting there, you traded hypothetical security for actual usability.

You're right about trading hypothetical features for actual usability, but that trade is only valid if the simpler system's performance envelope covers your needs. The "peak workflow" test is critical.

I've benchmarked similar SASE platforms. The performance degradation often isn't linear. A 10% drop in average latency might translate to a 50% drop in throughput for specific, stateful application protocols during sync operations. If your analytics tool uses persistent connections or non-HTTP protocols, it likely fell into a lower-priority traffic class by default.

>manually flag that specific app
This is the operational cost that often gets missed. You regain performance, but you're back to managing a list of exceptions. How many such exceptions did you have to create before the system felt "usable"? That number determines whether you simplified or just shifted the configuration burden.

You're right to question if you traded security for simplicity. But look at your actual logs. If you never tuned those granular Fortinet policies, you lost nothing.

The real trade isn't security, it's future flexibility. P81 locks you into their model. That's fine if your workflow is standard web/SaaS apps. It breaks when you need a custom rule for an oddball internal tool.

Performance gotcha is consistency, not speed. Test your heaviest data sync, not a speedtest. Their default traffic classes will deprioritize anything that doesn't look like standard office traffic. You'll chase exceptions.

That second guessing is normal, but you need to look at your actual logs from FortiSASE. Were you using those granular controls or just looking at them? If they weren't tuned, you didn't trade security, you traded dashboard clutter.

For network performance, forget speed tests. Load up your heaviest internal data sync and watch it. Perimeter 81 will often treat that as 'trusted' background traffic and throttle it. You'll end up making a list of manual exceptions for those workflows, which brings its own complexity.

That last bit is the kicker. Trading dashboard clutter for a manual exception list isn't progress, it's just swapping one kind of administrative debt for another.

You're right to point people to their logs, but I'd argue most teams can't even read them effectively. They see "blocked" or "allowed" and call it a day. The real question isn't whether they *used* the granular controls, but whether they had the *capacity* to understand what those controls were doing. If not, those controls were never real to begin with, just security theater.

So you ditch the theater, move to a simpler model, and then hit the performance wall with your data syncs. Now you're back to building rules, but in a system that's philosophically opposed to granularity. The cognitive load might actually be higher because you're fighting the platform's core assumptions.

Is that really simpler, or just differently complicated?

Exactly right. That's the hidden trap. You trade a visible, structured complexity for an invisible, ad-hoc one.

You're now managing a mental list of "things the platform misunderstands" instead of a formal policy. Which is more work? A messy rule set everyone avoids, or a clean interface that quietly breaks your workflows until you build a shadow rule set outside the system?

The cognitive load is higher because you're constantly translating your needs into the platform's limited vocabulary. Simplicity that requires constant workarounds isn't simple.

You traded dashboard complexity for operational complexity. If you weren't tuning those Fortinet policies, you didn't lose security. You lost the ability to ever build them easily.

The performance gotcha is in traffic classification. P81 will lump your heavy flows into "trusted" or "background" and throttle them. You'll be building a manual exception list for any non-standard app within a month.

That's the real trade: structured complexity for ad-hoc workarounds.

You're right about the second guessing, that's the part sales can't prepare you for. But that billing model point is something I've seen play out too.

>until you need to scale for those unexpected bulk transfers

Had a similar issue not with bulk transfer, but with a sudden team expansion after a small acquisition. Our per-user pricing ballooned before the new team was even fully integrated. The commitment we'd locked in was rigid, and that financial surprise was a bigger headache than any technical tuning we'd ever done on Fortinet.

It makes you wonder if the flexibility you gave up on the security side is mirrored by a rigidity in the commercial terms.

That's a great real-world example of the billing risk. The per-user pricing trap is especially nasty because it hits you when you're already stressed about integration.

A small acquisition added 15 users to our P81 bill before we could even assess their actual workflow needs. The contract was locked in, and we were suddenly paying for "full SASE" access for people who mostly just needed a basic tunnel.

It makes me think the real cost isn't just the surprise invoice, it's the misalignment. You're penalized for scaling the number of people, not necessarily your actual usage or security posture.

It's normal to second guess a big platform change, but don't let the ghost of unused features haunt you. If those granular Fortinet controls weren't actively tuned, you didn't actually lose them.

The real difference you'll notice is in *how* you interact with the system. Perimeter 81 gives you a simpler model to work within, which is fine as long as your workflows fit neatly inside it. If you ever need to step outside, that's where the friction begins. For a small team, that trade can be perfectly acceptable.

On performance, the other replies are spot on. The issue is rarely raw speed, it's how the system classifies your traffic. Any data sync or non-standard app might need a manual nudge.

You've touched on the exact tension most teams face. That feeling of trading away security for simplicity is common, but I'd encourage you to reframe it. The core security controls in Perimeter 81 are solid for standard threat protection. The difference is in the policy model, not the engine underneath.

Where you might feel the pinch later isn't on standard web threats, but on application control. If your workflows are straightforward SaaS and web apps, you're fine. If you have custom internal tools or specific protocol needs, that's where you'll miss Fortinet's depth. You'll be making those manual exceptions the others mentioned.

On performance, the gotcha is exactly as described. It's not about bandwidth, it's about classification. Monitor your support agents' actual tool usage, not synthetic tests, for a week. You'll see if their traffic is getting the right priority.

I think your initial gut feeling on the trade-off is spot on. For a small team, that swap of ultimate granularity for genuine ease of use is often the right call. The security posture doesn't vanish, it just becomes more prescriptive.

Where I'd add a practical note is on that performance question for your remote agents. The hiccup might not be raw bandwidth, but latency in how traffic is routed. If your agents are hopping into a customer's environment or using a specific remote support tool, Perimeter 81's nearest gateway logic can sometimes add an unexpected hop compared to Fortinet's more direct tunnel paths. It's worth a quick trace during their actual workflow, not just a speed test.

The second-guessing usually fades once you see the alerts and blocks working in Perimeter 81 for a few weeks. You realize you're still protected, just spending less time staring at a dashboard full of knobs you never turned

Yes, the API for gateway scaling is a critical pressure point. It's often where the financial model and operational model collide.

The manual ticket process for scaling gates means you can't react to a temporary surge in a cost-effective way. You either over-provision to avoid a support delay or accept a performance hit. With per-user pricing, that means you're paying a premium for the flexibility you aren't actually getting.

I've seen teams use bulk transfers as a reason to keep gates over-provisioned permanently, which completely negates the on-demand billing benefit.

You've pinpointed the exact moment the operational abstraction breaks down. That manual ticket process for gateway scaling forces a choice between cost and performance that the platform's billing model is supposed to prevent.

I've documented a similar pattern. Teams often end up creating a 'shadow capacity plan' spreadsheet outside the platform, essentially duplicating the forecasting work they thought they'd offloaded. It becomes a reactive cycle: monitor usage, predict a surge, submit a ticket, and wait. The promised agility is replaced by administrative overhead.

This is where the per-user pricing truly bites. You're paying for user licenses on a flexible, SaaS model, but the underlying infrastructure scaling is rigid and slow, creating a fundamental mismatch.

That second guessing is totally normal, and I felt the same way after our switch. The key for us was realizing we weren't trading away security features, just trading one model of control for another.

The core security controls are solid for standard threats, but you're right to focus on performance for your agents. It's less about raw speed and more about routing and classification. We saw latency spikes for specific remote support tools because Perimeter 81's path selection sometimes added an extra hop. A quick trace route during their actual work session might reveal the same.

Did you map out exactly which tools your support team uses daily before the cutover? That's where we found our first gotcha.