A practical guide for security leaders ready to reduce costs, expand visibility, and modernize operations — without a forklift migration.
The average enterprise spends $150K–$500K/year on SIEM licensing for 100 GB/day — and costs scale steeply from there. The result is a set of structural compromises that weaken your security posture from the inside out.
Every gigabyte is priced the same — whether it powers a real-time detection or sits in storage for a compliance audit 12 months from now. Teams sample logs, drop telemetry sources, and shorten retention to stay within budget.
When analysts can only see what’s inside the SIEM, investigations are bounded by what you could afford to ingest. Critical context lives outside in log archives, data lakes, or third-party platforms.
A typical migration requires 3–12 months of parallel operations. Detection rules need rebuilding. Historical data needs re-ingestion. Any gap in coverage is an operational and compliance liability.
Not all security data needs to live in the same place or be priced the same way. Separate your real-time operations from long-term retention — then unify them with an intelligent agentic layer.
A control plane that sits above both tiers and provides a single interface for search, investigation, and automated workflows. From the analyst’s perspective, there is one environment to learn and one set of results.
Agents execute Tier 1 triage and correlate events across data sources simultaneously
Reconstruct incident timelines from both hot and cold data automatically
Free senior staff for the strategic and investigative work that requires human judgment
Each phase builds on the last, and you can stop at any phase that meets your operational and budgetary goals.
Deploy an agentic layer that connects to your existing SIEM via API and to your cloud storage directly. This phase changes nothing about your current SOC operations. Your existing SIEM continues to run exactly as it does today.
With visibility across your full data estate, audit what is actually in your SIEM and determine which data needs to stay in the hot tier. Many organizations discover that 60–80% of ingested logs are retention or compliance data that does not require real-time query performance.
Begin routing identified cold data to S3 or cloud storage incrementally, starting with the highest-volume, lowest-urgency sources first. Your SIEM retains the real-time alerting workloads. The agentic layer continues to search across both tiers seamlessly.
With the two-tier architecture in place, unlock use cases that were previously impossible. Onboard high-volume data sources you were forced to drop, extend retention periods, and expand the scope of what your SOC can investigate.
If your goal is to fully retire your legacy SIEM, the two-tier architecture provides a clean exit path. Your new SIEM handles real-time alerting. Legacy historical data is exported to S3 where it remains fully searchable through the agentic layer.
Security leaders who succeed at modernization lead with the business impact of the current model and present a credible, phased path to a better one.
| Cost Category | Legacy SIEM Model | Tiered Architecture |
|---|---|---|
| Hot data storage (real-time) | 100% at SIEM rates | 20–40% at SIEM rates 60%+ savings |
| Cold data storage (retention) | 100% at SIEM rates | 60–80% at S3 rates 10x cheaper |
| Data re-ingestion for migration | Full re-ingestion required | Search in place, no re-ingestion $0 |
| Investigation scope | Limited by budget | Expanded across all data |
| Analyst productivity | Manual cross-system pivoting | Unified agentic search 70-80% faster |
Score each question honestly. The results will help you prioritize which phases to tackle first and build a data-driven case for stakeholders.
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