pyfair
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Factor Analysis of Information Risk (FAIR) model written in Python.
Similar to the validation checks in place for `'Probability of Action', 'Vulnerability', 'Control Strength', 'Threat Capability'`, there probably should be a check in place for `Secondary Loss Event Frequency` as...
Determine whether it is more appropriate to: a) run routines to fix the model and continue b) put it in a conspicuous and permanent error state so people know not...
In the original code losses were multiplied (instead of being added) and frequencies were added (instead of being multiplied). Now the code works as expected: ```python model1 = pyfair.FairModel(name="Insider Threat",...
The secondary losses computed through ```input_multi_data``` are wrong. Here are some examples: ```python model1 = pyfair.FairModel(name="Insider Threat", n_simulations=10) model1.input_multi_data('Secondary Loss', { 'Reputational': { 'Secondary Loss Event Frequency': {'constant': 1}, 'Secondary...
This PR was automatically created by Snyk using the credentials of a real user.Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of...
This PR was automatically created by Snyk using the credentials of a real user.Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of...