Webinar on Demand: 4 Reasons InfoRisk Analysts Should Know FAIR

If you’re looking for a no-prerequisites introduction to the FAIR model for cyber risk analysis and the RiskLens application for cyber risk quantification that runs on FAIR, take under an hour to listen to Cary Wise, our risk consultant and veteran of introducing FAIR to a long list of businesses like yours.

In this webinar, Cary explains on a high level:

  • What is quantitative cyber risk analysis
  • How to use the FAIR model to break down risk into analyzable components
  • How to gather the data for analysis
  • What the results look like, and how they support decision-making on cybersecurity tactics.
  • Why this is all better than the qualitative, pick-a-number or choose-a-color method of a rating risks that your organization may now be using that leads to unresolvable debates and ultimately uninformed decision-making.

Those four reasons?

With the objective results it generates, FAIR gives you the ability to defend an analysis and stand behind your result, in other words, credibility.

FAIR makes your job easier – doing qualitative analysis is an exercise in frustration, with no guidelines on how to define and scope your risk assessment tasks.

FAIR makes you more valuable to your organization, as an analyst who can definitively answer the questions that senior leadership wants answered: “How much risk do we have?” “Are we spending on the right tactics to reduce risk?”

Finally, FAIR keeps you at the forefront of the profession. The world of cybersecurity is moving to a risk-driven approach, and the FAIR model is at the center. Gartner recently named risk quantification as one of the five critical capabilities of integrated risk management. FAIR Institute membership has passed 3,000. The SEC told public companies to disclose potential cyber risks that pose material threats by quantifying cyber risk in financial terms.

Watch the webinar now:

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