Organizations encounter numerous risks that can disrupt operations and lead to significant losses. Traditional methods, like heatmaps, fail to faithfully prioritize these risks.
Quantitative assessment replaces the traditional heat map and removes the subjectivity from risk assessments, allowing for direct comparison of risks in quantitative terms across the enterprise and over different types and categories of risk.
Archer Insight uses a series of simple questions that enables better risk prioritization. This approach reduces losses by ensuring that resources, time, and attention are directed at the most important and expensive risks.
AS EASY AS 1-2-3
Build into Your Risk Management Framework
By building on risk management framework, you can quickly and seamlessly integrate quantification capabilities, utilizing familiar business, risk taxonomies and skillsets for clear and effective risk reporting.
Scalable Assessment Methodology
Provide a comprehensive approach to risk quantification and apply to any operational risk including cyber risk. Recognize the volume of risks across the organization with our purpose-built assessment. Follow easy steps to get started with quant and sustain the quant program for all enterprise risks.
Transform ERM to a Value Center
Turn your enterprise risk management program into a value center. Use enterprise quantitative assessment to effectively focus on the most important risks, preventing losses and reducing costs.
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FAQs
What is the risk quantification method used by Archer Insight?
Archer Insight uses bowtie modeling and Monte Carlo simulations for risk quantification across all enterprise risk management (ERM) risks
What is the best risk calculation methodology?
There is no single "best" risk calculation methodology, as the choice depends on the organization's specific needs, but common methods include quantitative, qualitative, and semi-quantitative approaches
What are the techniques of risk measurement?
Risk measurement techniques include statistical analysis of historical data, econometric models, Monte Carlo simulations, stress testing, and the FAIR model for cyber risk quantification
What are the most common methods of risk analysis?
The most common methods of risk analysis are qualitative, quantitative, semi-quantitative, asset-based, threat-based, vulnerability-based, and dynamic approaches
What is an example of a quantifiable risk?
An example of a quantifiable risk is the potential financial loss due to a cybersecurity breach, which can be calculated using methods like the FAIR model
What are the benefits of risk identification and quantification?
Risk identification and quantification benefits include improved decision-making, more effective risk prioritization, and better allocation of resources for risk mitigation
Why is risk quanification important?
Risk quantification is important because it enables organizations to move beyond qualitative assessments to more precise measures of risk probability, frequency, and impact, leading to better-informed strategic decisions
