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Custom Models

Solutions from $1,700 - $3,500

Custom-developed models help you quickly quantify the risk for the situation you have in mind. These are Excel-based simulations generating 1K probabilities in every probability distribution. 


Samples custom models:

  • Converting qualitative data into a quantitative model for analysis.
  • Quantifying 3rd party and supply chain risks with qualitative inputs.
  • Converting risk scoring models to risk quantification models.
  • Gamification, Bayesian and other advanced mathematical methods.
  • Forecast events, evaluate probabilities, compare and aggregate risks.

Get started now

Why Custom Models

Unique

Your organization is unique so it makes sense to have analytical models that fit your processes and needs. Custom models fill that void and support you in your unique approach to problem solving. Stop struggling with one-size-fits-all approaches and start using the models you wish you had.

Responsive

Custom models are designed with you in mind. What's the problem you're trying solve? What's the risk you're working with? What data do you have? Custom models allow you more easily get the work done with less friction.

Cost Effective

Custom models are a cost effective solution. They allow you to focus on your goals and objectives being supported by models that fit your style and needs. They are a sustainable solution for easily building in better risk analysis processes to your existing risk management program.

Custom Models

My typical models rely on good layout to facilitate analysis and use probability distributions of 1K each for the simulations. A single model can handle many simulations.


Advanced models leveraging Bayesian Inference and probability trees to answer more difficult questions around what is most and lease likely to occur.


And then once in a while I get excited about some new math to forecast and model attacks, as in this presentation I gave at SiRAcon'23.  

Link to companion white paper here.

take control of your cyber risk

Contact Charlene

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