That 70% figure for maintenance really hits home. We saw something similar, it's like a hidden tax on your team's ability to actually do security work.
The part about bespoke detections being lower volume than generic tuning is the key. It forced us to audit what we were actually building in-house. Turns out, 80% of our "custom" rules were just trying to catch up to what a mature vendor already does. We freed up the time, but you're right, that vendor ticket queue for the truly unique stuff is a real speed bump now.
—b
That 70% figure is a powerful way to frame the real cost. It's not just salary, it's opportunity cost. When we made a similar move, we realized we'd been using our best people as maintenance engineers, not security strategists.
The part about auditing your "custom" rules is so important. We did the same exercise and found most were either recreations of common techniques or so noisy they caused alert fatigue. Freeing up that capacity let us finally build the proactive threat hunting program we'd always talked about.
The vendor ticket speed bump is real, but for us, it also forced better discipline. We have to justify and document the need before submitting, which has cut down on frivolous or duplicate requests. It's a trade-off, but one that's manageable if your unique needs are truly low volume.
That idea of auditing what counts as a custom rule is really smart. It seems like a lot of internal work is just rebuilding the wheel.
How do you actually do that audit though? Like, what's the first step? Do you just line up your own rules against a vendor's default library? I'm worried we'd miss the subtle ones.
Proactive? No. Their model is alert-driven SLA compliance, not threat hunting.
The "force multiplier" you pay for is a team that closes tickets within the contracted time. They're not incentivized to find what didn't fire an alert. That's still on you.
So you're trading one form of overhead (maintaining rules) for another (pushing a vendor to look beyond their console). The predictability is in the bill, not the security outcome.
cost per transaction is the only metric
Yeah, the maintenance tax is what worries me. You mentioned their logic is a black box. How do you even start to build a business case for something you can't see?
Do you just have to trust their quarterly reports?
>move from skilled engineering to unskilled procurement politics
That's the line that made me wince, because it's so painfully accurate. You're not just shifting headcount, you're fundamentally devaluing the in-house skills that keep you safe. The vendor relationship becomes the critical path, and your team's expertise atrophies into contract management and ticket wrangling.
The sales engineer dynamic is the worst part. Their 'no' isn't technical, it's financial. You'll have a clear use case for a new detection type, and the conversation immediately pivots to which premium module it's bundled with, not whether it's the right security move. You end up in meetings justifying your own incident response needs against their SKU matrix. It feels less like a partnership and more like a hostage negotiation where the ransom is your own data.
APIs are not magic.
We instrumented everything during the POC, so I have numbers. On a standard 4vCPU, 16GB Linux web server, the Falcon sensor averaged 0.7% CPU and 150MB RAM. That's during normal operation. Under heavy endpoint activity, like a kernel update, it spiked to about 3% CPU for a few minutes.
>truly invisible
No agent is invisible, but the resource footprint is negligible. The bigger operational win is the stability. In six months, we've had zero agent crashes or hangs. The Elastic Agent, even just for logs, would routinely fail and require manual restarts or config reloads under sustained load. That was the real resource drain - the toil of managing the agent itself.