Hello everyone,
My colleague and I are the sole security team at our mid-sized SaaS company, and we've reached a point where the constant stream of alerts from our SIEM is becoming unmanageable. We're using a mix of cloud and on-premise sources, and while our setup catches a lot, the sheer volume—especially of low-fidelity alerts—is leading to burnout. We often find ourselves chasing false positives or minor issues, which distracts from more critical work.
I've been researching ways to tackle this and have come across several common approaches: tuning detection rules, implementing a SOAR for automation, and adjusting triage procedures. Given our tiny team, I'm trying to understand which combination would provide the most immediate and sustainable relief without overwhelming us with a new setup.
Could someone help me compare the practical first steps between deeper SIEM rule tuning and introducing a lightweight SOAR or automation platform? Specifically, for a team of two:
* What are the typical time investments for each approach to start seeing a reduction in noise?
* How do they differ in ongoing maintenance burden?
* Are there any particular strategies for prioritizing which alerts to tackle first in the tuning process?
We're currently using a well-known commercial SIEM, but I'm open to any procedural or tool-agnostic advice. Our primary goal is to create a more sustainable workflow where we can focus on actual threats.
Thanks!
I'm a soloish security engineer at a 300-person B2B SaaS. We run a custom SIEM (ELK stack) and a lightweight SOAR (Shuffle, open source). I've been through the "two people drowning in alerts" phase twice now.
**Time to real noise reduction**: Tuning rules gives you a 30-40% drop in alerts within 2-3 weeks if you actually sit down and tag known false positives. SOAR will take you 4-6 weeks just to get a single enrichment playbook running, and you'll still be drowning while you build it.
**Maintenance burden**: Tuning is a recurring tax. Every time you add a data source or someone changes a config, you're back to looking at false positives. SOAR is a different kind of tax: you now have to maintain workflows, API keys, and error handling. I've seen teams spend more time fixing broken playbooks than they saved on alerts.
**Cost**: Tuning costs you your time (and maybe a few beers). SOAR platforms start at $4-8/user/mo for the stripped-down SaaS ones, but the real hidden cost is the integration work. If you need to tie into your on-prem stuff, add another 10-20 hours of setup per connector. And most won't work with your existing SIEM out of the box unless you pay for a premium tier.
**Where it breaks**: Tuning can't fix a fundamentally broken alert pipeline. If your SIEM is generating 500 alerts a day because your detection logic is too broad, you'll never tune your way out of that. SOAR can't fix a team that refuses to triage - it just automates the noise faster, so you burn out on fixing the automation instead of the actual alerts.
For a team of two, start with aggressive, data-driven rule tuning. Kill the top 5 alert sources by volume, even if it means disabling a rule for a week to see what you miss. Only introduce SOAR after you've cut alert volume by 70% or you know you have a repeatable, high-value response (like automatically blocking a known bad IP). If you tell me your SIEM platform and what your top 3 alert types are, I can give you a more specific cut.
Just saying.