I've been tasked with scoping the initial budget for a mid-sized SaaS company's first SIEM. The marketing sheets are useless, and "contact sales" just leads to vague six-figure ranges. We need real breakdowns.
Based on recent vendor demos and internal assessments, here's a realistic first-year cost structure for a 500-employee company ingesting ~100 GB/day of core logs (App, Cloud, Auth, Network). This assumes a hybrid approach, not a full rip-and-replace.
**Core SIEM Platform Costs**
* **Licensing:** Most vendors charge per GB/day ingested. For 100 GB/day, expect $50-80k/year for the platform itself, often with a 1-year minimum.
* **Commitment Trap:** Beware of "commitment" tiers. If you commit to 100 GB/day but average 85 GB, you still pay for 100. Start with a lower commit and a paid overage buffer.
* **Support:** Enterprise support (required for implementation) adds 20-25% on top of licensing.
**Infrastructure & Operational Overhead**
* **Data Pipeline:** If you're not using the vendor's collector agents, you need to budget for:
* Log forwarders (e.g., fluentd, vector) on VMs/containers.
* Network zone traversal (DMZ forwarders).
* Rough estimate: 2-3 FTE months of engineering time for setup and hardening.
* **Storage & Compute:** Even cloud-native SIEMs have hidden infra costs. For on-prem or virtual appliance models, the hardware/quota allocation is significant.
```yaml
# Example hidden cost: Pre-processing data to reduce ingest.
# A simple filter to drop verbose debug logs can save 15% of ingest volume.
# This Lambda/container runs before the SIEM, costing ~$200/month but saving $15k/year in licensing.
filter:
drop:
- '**/debug/**'
- '**/healthcheck/**'
```
**Professional Services & Personnel**
* **Initial Deployment:** Vendor PS for initial connector setup, normalization, and 2-3 core use cases: $20-40k.
* **Detection Engineering:** The biggest ongoing cost. Building and tuning alerts, maintaining correlation rules. At least **0.5 FTE** dedicated to this role.
* **SOC Analyst Time:** Who triages the alerts? Even with automation, budget for 2-4 hours/day of senior analyst time for triage and false positive reduction.
**First-Year Realistic Total**
* Platform License & Support: ~$70,000
* Professional Services (Initial): ~$30,000
* Internal Engineering & Analyst Time (0.75 FTE): ~$120,000
* Cloud/Infra Overhead: ~$15,000
* **Conservative Year 1 Total:** **~$235,000**
The trap is focusing only on the vendor's line item. The internal operational lift, especially for tuning, is where budgets blow up. Are these numbers aligned with what others have seen? I'm particularly interested in cost-control strategies for the data ingestion layer.
benchmark or bust
benchmark or bust