Designed for Cyber Risk Quantification

RiskLens is trusted by dozens of the world’s largest companies across nearly every vertical industry. The RiskLens SaaS platform is the easiest and most effective way to build a quantitative risk management program. RiskLens makes it easy to address the complexities of quantifying, managing and reporting on cyber risk by providing a simple to use, intuitive platform.

How Does RiskLens Work?

1. Model your environment (assets, relevant threat communities, controls)
2. Develop risk scenarios (apply data regarding threat activity, control conditions, forms of loss)
3. Quickly triage scenarios based on their significance and prioritize those that require further analysis
4. Run simulations (calculate loss exposure with Monte Carlo simulations and run sensitivity analysis to identify areas for improvement)
5. Generate risk analytics reports (annual loss exposure, loss exceedance, top risks, forms of loss, cost-benefit, etc.)
6. Manage your risk portfolio (track loss exposure over time and proactively manage your organization’s risk)

The RiskLens computational engine uses Monte Carlo simulations to calculate the loss exposure of modeled risk scenarios. This technique allows for the variance in the input data entered with betaPERT distributions to be considered, so that the full breadth of the probable losses is explored.

Multi-Scenario Aggregation

Because of the unique way in which RiskLens uses Monte Carlo simulations in combination with the FAIR model, the platform allows for the aggregation of multiple risk scenarios as well as the calculation of individual scenario results.

• Explore the full scope of an enterprise analysis from the executive view point, to the individual analysis at the analyst level
• Aggregate loss exposure is available for the entire enterprise or by department, asset, threat community and more
• Quickly be informed of where loss exposure is concentrated across your organization

Stress Testing with Sensitivity Analysis

Additionally, the computation engine supports Stress Testing, a sensitivity analysis which allows an organization to identify potential areas of improvement across the entire risk analysis.

• Sensitivity analysis recomputes the entire analysis, modifying one input at a time – for all inputs – by 1%, 5%, 10%, 20%
• By isolating each input, the computational engine is able to measure the aggregate average impact on loss exposure of the modified input
• This allows risk analysts to identify potential areas for improvement within enterprise analyses that may contain thousands of inputs