On-premise RAG + local LLMs that reduce MTTR, reclaim analyst hours, and cut energy—while keeping data sovereign by default. Achieve <2s response targets, ≥99% JSON validity, and save 20-30 analyst hours weekly.
Executive ROI Summary
Analyst Time Saved
20-30 hours per analyst per week → immediate labor ROI. Eliminate manual correlation tasks and accelerate incident response through intelligent automation.
MTTR Reduction
Faster triage with contextual intelligence. <2s median response time transforms how analysts approach threat detection and investigation workflows.
Energy Efficiency
Up to 75% lower energy consumption. ~135W max appliance draw with no additional cooling requirements reduces operational expenses significantly.
Right-sized Compute
Up to 70% fewer resources vs cloud deployments. Production-ready in ~30 days with containerized architecture and proven implementation methodology.
Where ROI Comes From
Analyst Efficiency
RAG-grounded answers delivered in JSON-ready format for seamless automation. Streamlined approvals via Slack/Teams integration. Result: 20-30 hours saved per analyst weekly.
Faster Incidents
Dramatically lower MTTR with ATT&CK-mapped responses. Automated correlation reduces the current 287-minute average resolution time for critical incidents.
SIEM/SOAR Cost Offset
Replace expensive ingest, search, correlation, and playbook licensing. Comprehensive integrations with Elastic, Splunk, QRadar, Tracecat, YARA, and Ansible reduce total cost of ownership.
Energy & Cooling
Achieve ~75% lower compute energy consumption with zero additional cooling requirements. Strengthen ESG metrics while reducing operational expenses.
Sovereignty by Default
Eliminate compliance exposure with local-first models. Optional external delta enrichment disabled by default, fully audited when enabled, processing only non-sensitive data.
Rapid Time-to-Value
Containerized deployment with proven 30/60/90-day plan delivers measurable outcomes quickly. First value realized within 30 days of implementation.
ROI Model & Calculator
Our ROI model uses conservative defaults and transparent formulas to provide auditable projections. All metrics are based on documented KPIs and real-world deployment data.
Default Inputs
- Analysts: 5 team members
- Hours saved: 20-30 per analyst/week
- Fully loaded cost: $75/hour
- Electricity: $0.12/kWh
- SeverusPRO draw: 0.135 kW max
Core Formulas
Labor_Savings = N_analysts × H_save ×
Cost_hour × 4.33
Energy_Savings = (kW_legacy - kW_sp) ×
24 × 30 × $/kWh
Net_Savings = Gross_Savings -
SeverusPRO_CostWorked Example: 5-Analyst SOC Team
Monthly Savings Breakdown
Labor Savings
5 analysts × 20 hours × $75 × 4.33 weeks
Energy Savings
(0.5 - 0.135) kW × 720 hours × $0.12
Total Monthly
Combined operational savings before legacy offsets
Additional savings available through SIEM/SOAR consolidation and cloud AI cost elimination. Actual results depend on current environment and security tool stack.
Illustrative example based on documented KPIs and conservative assumptions. Legacy offset calculations require environment-specific assessment.
ROI by Business Outcome
Reduce MTTR
Quantifiable hours avoided per priority incident multiplied by monthly incident volume. Current baseline: 287 minutes for critical incidents with 52% manual correlation effort.
Automate with Confidence
≥99% JSON validity eliminates rework and failed playbook executions. Reliable automation reduces analyst intervention and accelerates response workflows.
Consolidate SIEM/SOAR
Eliminate duplicate licensing, data ingest charges, and runtime costs as SeverusPRO becomes the primary security operations platform with comprehensive integrations.
Energy & ESG Impact
Lower energy draw with zero additional cooling strengthens ESG metrics while reducing operational expenses. Measurable environmental impact supports corporate sustainability goals.
Data Sovereignty
Avoid cross-border data exposure and accelerate compliance audits. Local-first architecture eliminates cloud jurisdiction risks while maintaining operational flexibility.
30/60/90 Value Timeline
Day 30 — Foundations
Complete data ingest, RAG implementation, and console deployment. Establish baseline KPIs and conduct initial analyst training. First measurable value delivered within 30 days of implementation start.
Day 60 — Integration
Activate telemetry connectors across security tools. Deploy pilot SOAR workflows with Slack/Teams approval integration. Validate automated response capabilities and refine playbooks.
Day 90 — Optimization
Deploy comprehensive dashboards and optional LoRA customization for 2-3 specific use cases. Complete documentation handoff and validate all KPIs against success criteria.
Each phase includes defined exit criteria and measurable KPIs to ensure documented value delivery. The proven implementation methodology reduces deployment risk while accelerating time-to-value.
Frequently Asked Questions
What drives the biggest savings first?
Analyst time recovery (20-30 hours/week) delivers immediate impact, followed by legacy SIEM/SOAR cost offsets through consolidation, then ongoing energy savings from efficient compute architecture.
Can this replace our SIEM/SOAR entirely?
Yes. SeverusPRO ingests telemetry directly, correlates with CTI via RAG, and executes fully audited playbooks. The comprehensive integration roadmap supports gradual migration from existing tools.
How do you ensure measurable results?
KPIs and SLOs are defined during POC initiation. Exit criteria include meeting all technical performance metrics and completing analyst training certification before full deployment.
Source: All metrics and implementation timelines based on SeverusPRO product brief and documented customer deployments.
SeverusPRO ROI — Faster Decisions, Lower Risk, Smaller Footprint