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Advanced Cyber Risk QuantificationMetricStream

MetricStream's Advanced Cyber Risk Quantification software measures and manages cyber risk in monetary terms. It prioritizes risks, enhances decision-making, and aligns cybersecurity investments with business priorities, providing clear communication of cyber risk posture to management and the board.

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Vendor

MetricStream

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Advanced Cyber Risk Quantification

Measure Your Program Outcomes

  • **64% **reduction in the time taken to complete risk assessment
  • **67% **improvement in risk reporting visibility and efficiency for the executive management and board.

Measure, Manage, and Prioritize Risks in Real Business Terms

MetricStream Advanced Cyber Risk Quantification helps you assess and analyze your IT and cyber risk exposure in monetary terms. By assigning a dollar value to cyber risk, it enables better prioritization of risk, controls, and cybersecurity investment decisions – determining which risks to focus on first and where to allocate your cybersecurity resources for maximum impact. Quantitative metrics also enable the cybersecurity teams to better communicate the cyber risk posture to the top management and board. Improve understanding of the IT and cyber risks faced by an organization, effectively prioritize cybersecurity investments, and drive alignment between cyber programs and business priorities.

How Our Advanced Cyber Risk Quantification Helps You

Quantify Cyber Risks using FAIR and More

Quantify cyber risk in terms of actual currency, instead of imprecise red, yellow, and green heatmaps with built-in FAIR ® model, a model that helps codify and monetize cyber risks in monetary value. It helps calculate annual loss exposure, loss event frequency, loss magnitude, threat event frequency, susceptibility, and primary and secondary losses. Unlike other products, MetricStream also provides a configurable engine that allows users to create multiple variables, calculation logic, and quantification models depending on the requirements.

Simulate Cyber Risks

Use Monte Carlo simulation, an automated scenario modeling technique, to run risk scenarios by leveraging your data and create probable outcomes. Determine loss event scenarios including number of primary and secondary loss events that may occur and their losses. Understand annualized loss exposure (ALE) and loss exceedance probabilities.

Understand the Probability of Cyber Losses

Easily see the probability of annual loss exposure – minimum, most likely, average, upper percentile, and maximum – for cyber events. Generate a range-based estimate for annual loss exposure and expectancy. Get accurate information on the probability of a user-defined risk limit being exceeded. Prioritize investments and mitigation strategies for a given risk.

Configure Cyber Risk Quantification Models, Simply

Adjust factors such as loss event frequency, threat event frequency, susceptibility and loss magnitude, to improve accuracy of quantification as well as to configure new cyber risk quantification models.

Benefits

  • Make better informed decisions with the true probability and impact of risks – measure cyber risk in actual currency, as opposed to imprecise red, yellow, and green ratings
  • Demystify cybersecurity for the board and management by providing quantitative metrics for cyber threats and help them prioritize action plans and investments with an understanding of risk and ROI
  • Assess the effectiveness of risk mitigation strategies by easily understanding how much risk reduction has been achieved with each control
  • Gain a competitive advantage and strengthen cyber maturity and resilience with actionable insights that enable you to respond to cyber threats in a more targeted and cost-efficient way
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