ROI Calculation Methodology
Transparent, defensible analysis built on industry-recognised data sources
The DALEO Synergy ROI Calculator employs a 3-year Total Cost of Ownership (TCO) model that quantifies both investment costs and operational benefits of cyber deception technology deployment.
Our methodology is designed for credibility: we use conservative assumptions, cite peer-reviewed research, and apply industry-specific adjustments. The goal is to provide security leaders and financial stakeholders with a realistic foundation for investment decisions - not optimistic projections that fail scrutiny during budget reviews.
What We Measure
Our model quantifies five distinct value drivers, each grounded in measurable security operations metrics.
Deception technology detects lateral movement within hours, compared to the European average of 197 days. Reduced dwell time directly correlates with lower breach impact and remediation costs.
Early detection in the attack chain enables response before data exfiltration or ransomware deployment. We quantify prevented incidents using your historical breach rate and industry cost data.
Deception alerts are high-fidelity by design - any interaction with a decoy indicates adversarial activity. This eliminates false positive investigation time and reduces analyst fatigue.
For organisations under NIS2, DORA, or sector-specific regulations, deception technology demonstrates "appropriate technical measures" and can reduce audit findings and penalty exposure.
Beyond alert reduction, deception provides automated threat intelligence and attack path insights. We estimate 10% productivity gain based on reduced manual threat hunting requirements.
We model platform licensing, implementation, training, and ongoing operations. Costs are adjusted for deployment scope (Pilot to Enterprise) and service model (Self-Managed to Fully Managed).
Key Assumptions
Transparency in assumptions enables informed discussion. Each parameter is based on published research or vendor-verified performance data.
1Detection Improvement
| Metric | Value | Basis |
|---|---|---|
| Dwell time reduction | 85% | Based on deception technology detecting lateral movement within hours versus industry average of 197 days |
| Incident prevention | 40% | Early kill chain detection enables response before breach completion |
| False positive reduction | 95% | Deception alerts are inherently high-fidelity - any interaction indicates adversary activity |
2Financial Parameters
| Metric | Value | Basis |
|---|---|---|
| Evaluation period | 3 years | Standard enterprise investment horizon aligned with technology refresh cycles |
| Benefit realisation | 50% / 100% / 110% | Year 1 deployment curve, Year 2 full operation, Year 3 optimisation gains |
| Compliance risk reduction | 30% | Deception demonstrates "appropriate measures" under NIS2 Article 21 |
Industry-Specific Calibration
Implementation complexity and regulatory requirements vary significantly by sector. Our model applies adjustment factors to reflect these realities.
- Financial Services (+30%) - Complex IT environments, strict regulatory oversight, high-value targets
- Critical Infrastructure (+30%) - OT/IT integration, safety requirements, national security considerations
- Healthcare (+25%) - Patient safety systems, medical device integration, data sensitivity
- Energy (+25%) - Distributed infrastructure, operational continuity requirements
- Government (+20%) - Security clearance requirements, procurement complexity
- Telecommunications (+15%) - Network complexity, high availability requirements
- Retail, Manufacturing (Baseline) - Standard enterprise IT environments
- Technology (-5%) - Higher internal technical expertise typically available
Data Sources
Our calculations reference industry-recognised research from leading security organisations.
IBM Security
Cost of a Data Breach Report 2025
Breach costs, dwell time metrics
ENISA
EU Threat Landscape Report
European breach statistics
Ponemon Institute
State of SecOps Report
Alert fatigue, false positive rates
Gartner
Security Operations Research
SOC staffing and efficiency metrics
SANS Institute
SOC Survey
Investigation times and processes
MITRE
ATT&CK Evaluations
Detection efficacy benchmarks
Regulatory Framework References
EU 2022/2555 - Security measures for essential entities
EU 2022/2554 - ICT risk management for financial sector
EU 2016/679 - Data breach notification requirements
Scenario Modelling
To support decision-making under uncertainty, we provide three projection scenarios.
Benefits: 70% of baseline
Costs: 110% of baseline
Use for: Risk-averse organisations, budget justification, board presentations where credibility is paramount
Benefits: 100% (baseline)
Costs: 100% (baseline)
Use for: Standard business case development, balanced view of expected outcomes
Benefits: 130% of baseline
Costs: 95% of baseline
Use for: Organisations with mature security operations, proven deployment capabilities
Important Considerations
- Estimates, not guarantees. Actual results depend on implementation quality, integration depth, and operational practices.
- Costs vary by vendor. Platform pricing depends on vendor negotiations, deployment complexity, and contract terms.
- Regional variations apply. Salary benchmarks and breach costs differ across EU member states.
- All values in EUR (€). Currency reflects European market context.
Ready to Calculate Your ROI?
Apply this methodology to your organisation's specific context. The calculator takes approximately 10 minutes and provides instant results.
Questions about our methodology? Contact our team at security@daleosynergy.eu