How to Measure the ROI of a Cyber Range

When a breach occurs, the security team is first in the firing line, expected to not only contain it but to answer questions as to why it occurred in the first place, with people, processes, and tech under scrutiny. 

However, when everything’s quiet, how do you justify the spend on investments that, on the surface, don’t look like they’re doing much? 

As anyone in security knows, measuring the ROI of security investments isn’t simple: how do you measure the success of something that didn’t happen?

How to Measure the ROI of Security Programs

Companies use a variety of metrics to measure the success and impact of their programs. Some that we’ve seen our customers use include:

Mean Time to Detect (MTTD) / Mean Time to Respond (MTTR)

Faster detection and response timelines reduce breach impact, downtime, and data loss. Organizations typically measure this by estimating avoided costs using benchmarks like IMB’s cost of a breach report (e.g., every hour saved in containment can save thousands). You can measure MTTD/MTTR by:

• Measuring your current average MTTD and MTTR over a defined period (e.g., quarterly) to understand existing performance levels.
• Determining the Average Annualized Loss Expectancy (ALE) or potential cost of a single incident (including direct and indirect costs).
• Measuring the change over time and note improvements based on specific investments. The reduction in potential impact (due to faster response) is the value gained from the investment.

Expected loss avoidance (fines, downtime)

Preventing even a single regulatory penalty or data breach fine can offset annual security investments. For example, In 2025, security budgets typically were 11% of a company’s IT spend, when you compare this against a potential fine of 2% of turnover (GDPR), security seems like a worthwhile investment!

Loss avoidance is often measured via formulas like FAIR (Factor Analysis of Information Risk):

ROI = (ALE_before – ALE_after – cost_of_security_program) / cost_of_security_program

where ALE = Annualized Loss Expectancy (probability × impact). 

 

For example, if annual expected losses drop from £5M to £2M after implementing security controls costing £1M, the ROI = (5–2–1)/1 = 200%.

Reduction in incidents

Measuring a decrease in frequency and severity of incidents over time is a direct reflection of effective prevention and detection. For example, a 40% reduction in phishing-related breaches after security awareness improvements shows measurable ROI. Customer data from email security company Knowbe4, shows that employee groups that did weekly phishing security tests were 2.74 times more effective in reducing risk than groups that did less than quarterly tests. 

If we take phishing as an example, here are some suggested metrics that show that training is having an impact:

• The reduction in percentage of users who report phishing simulations indicating user engagement and proactive security behavior 
• Decline in clicks or unsafe actions over time, reflecting long term behavior change
• Decrease in the number of repeat offenders 
• Links between simulation data and real attempts to measure real world impact of training 
• Increase in percentage of users completing training, indicating widespread compliance 
• Decrease in the time to report to time to resolution, demonstrating a reduction in time for harm to occur

Security posture improvements

Improvement in security maturity scores based on controls like NIST CSF, ISO 27001, etc., proves structured, evidence-based improvement over time. Maturity improvements can be linked to reduced regulatory risk or lower insurance premiums. Some ways that this can be measured include:

• Tracking the number of controls fully implemented and monitored for a specific regulation helps demonstrate an increase in scores and consistent adherence.
• A decrease in the number of recorded instances where internal policies were breached.

Operational efficiency gains

Automation, improved workflows, or consolidation of tools can streamline operations to free up headcount, reduce overhead, and enable teams to focus on more complex security programs. For example, a SIEM or SOAR implementation that saves analysts 10 hours/week equals tangible salary cost savings. 

Vendors can help organizations make their case. For example, Splunk commissioned research from IDC and reported ROI of 50% gain in security team efficiency and 64% faster to identify security threats for its unified platform. 

Tool rationalization

Consolidating overlapping tools, reducing licensing costs, and better utilization of existing tech brings budgets down, improving the overall cost of the security program. For example, rationalizing five tools into two could potentially save licensing and management costs while maintaining capability. Splunk’s IDC research also reported $4.89 million in annual savings by consolidating tools and automating security operations. 

Here’s how to take a strategic approach to measuring tool rationalization:

• Define the value of each capability of the tool, including why it exists, how it contributes, and what success looks like
• Uncover redundancies, with multiple tools solving the same problem
• Consider strategic metrics, including how automation in one system reduces manual triage in another, how unified identity and endpoint controls lower attack dwell time, and how centralized telemetry reduces false positives and analyst fatigue.

Cyber insurance discounts

Insurers are increasingly demanding measurable controls and basing their costs on the security programs organizations have in place. It’s not uncommon to leverage security programs in negotiations with insurers to secure lower premiums and better terms. In fact, one SimSpace customer was able to gain valuable insights into their security posture and regulatory compliance through a SimSpace cyber range, and was able to leverage that into a substantial reduction in their cyber insurance premium.

How a Cyber Range Helps Measure ROI

A cyber range provides real-world evidence that your organization’s investments in tools, people, and processes have an impact in an attack scenario. 

 

Your security team can have the highest-rated, most popular tools in its tech stack. Still, tools need to be sufficiently stress-tested and proven to reduce risk in your unique environment to provide the peace of mind that they’ll stand up in a real attack scenario. 

Let’s take a look at how a cyber range helps measure the effectiveness of a SIEM and therefore the ongoing investment in that tooling:

• Validates detection coverage by simulating realistic attack chains (e.g., phishing → credential theft → lateral movement), observing whether the SIEM detects each stage, and measures the coverage (number of attack steps detected / total steps simulated). A metric example could be that detection coverage increased from 60% to 85% after correlation rule optimization. 
• Reduces Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) by running repeatable incident simulations and measuring the time between initial compromise, SIEM alert, analyst triage, and containment. You can then measure performance before and after tuning, automation, or analyst training. An example metric could be that MTTD reduced by 45%, MTTR by 30% after optimizing SIEM rules and training via the range. 
• Operational efficiency, measured by a reduction in false positives, by generating controlled, known-good and known-bad events and test which rules trigger alerts, identifying false positives/negatives. An example metric could be that the false positive rate decreased from 40% to 15%, saving ~20 analyst hours/week. 
• Improves analyst performance and SOC readiness by training analysts in live-fire scenarios using the actual SIEM interface and measuring investigation speed, accuracy, and escalation decisions. An example metric could be that analyst investigation time was reduced from 30 to 15 minutes. 
• Demonstrates value to the board or insurers by visualizing and reporting quantifiable detection metrics in business language, showing improvements in risk reduction or response capability over time. This converts security operations into measurable risk reduction — crucial for board reporting, regulatory confidence, and insurance underwriting.

How SimSpace Measures ROI

How do you measure the impact of the cyber range itself? SimSpace provides customers with a value hypothesis tailored to your specific organization. 

 

Let’s take a look at an example for a hypothetical financial services organization.

 

Assuming a team of around 60 people, with 70+ tools, and experiencing approximately 6+ security incidents annually,  we calculate that SimSpace could save them $10.07M a year, with a projected ROI of 9x on their spend. This is how we break that down:

Individual & Team Development Value (People) (~$2,500,000)

• Training realism uplift (+70–80% vs cloud labs) by exposing teams to dynamic adversary campaigns and realistic user noise — defenders must detect subtle threats hidden in the “fog of war.”

• Team capacity expansion (↑ 10–1,000 users per event) scaling from small-unit drills to national-level war games, preparing individuals and teams for crisis scale, not just pod-size labs.
• Hands-on fidelity gains (↑ 50–60%) through the combination of hardware-in-the-loop and unlimited toolchain integration, enabling defenders to validate their actual EDRs, firewalls, and ICS appliances under live attack conditions.

Process & Playbook Optimization (Process) (~$990,000)

• Customization efficiency (↓ 60–70% setup time) with a blank canvas approach: replicate enterprise networks, replay historical breaches, or model future threats in hours instead of weeks.

• Exercise throughput (↑ 3–5× more validated playbooks/yr) across incident response, disaster recovery, threat intelligence, and forensic workflows — ensuring processes are stress-tested under real attack conditions.
• Cross-domain continuity (+25–30% process coverage) that extends training value across sectors such as utilities, telecommunications, oil & gas, and manufacturing — aligning diverse stakeholders on a single, integrated cyber battlefield.

Technology Integrations & Savings (Technology) (~$6,580,000) 

• Toolchain validation cost savings (~$750K–$1M/yr) by importing full production stacks (SIEM, EDR/XDR, IDS, IAM, VM, proprietary tools) into the range, eliminating the need for parallel shadow test environments.

• OS/firmware coverage (↑ 2–4× environments) supporting legacy OT firmware, niche operating systems, and modern IT simultaneously — a scope impossible in cloud-restricted ranges.

• Unified scale efficiency (↑ 5–10× infrastructure consolidation) by running large, enterprise-wide simulations in one environment instead of cloning dozens of small labs.
• On-site OT lab integration (↑ 2–3× validation fidelity) by securely connecting client-owned ICS/SCADA testbeds into the range, enabling defenders to stress-test real controllers, HMIs, and sensors against live adversary campaigns without risking production systems.

Use a Cyber Range to Justify Security Investments

A cyber range transforms the measurement of security performance from an abstract exercise to providing tangible proof, showing how tools, teams, and processes perform when put to the test by a real-world attack. Cyber range can prove the value of your SIEM, demonstrate a reduction in incident response times, or validate that your technology stack works together under pressure. With a cyber range, you can get the data and evidence leaders need to communicate security’s true business impact. When every dollar needs to be justified, being able to provide real-world value is priceless. 

To see your organization’s cyber range in action, schedule a demo today.