HOME OF FAIR | THE STANDARD QUANTITATIVE MODEL FOR INFORMATION SECURITY AND OPERATIONAL RISK

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Join leading information risk, cybersecurity and business executives to collaborate on the development and the sharing of industry-leading best practices for quantifying and managing information risk.

What is the FAIR Institute?

The FAIRTM (Factor Analysis of Information Risk) cyber risk framework has emerged as the premier Value at Risk (VaR) framework for cybersecurity and operational risk. The FAIRTM Institute is a non-profit professional organization dedicated to advancing the discipline of measuring and managing information risk.

It provides information risk, cybersecurity and business executives with the standards and best practices to help organizations measure, manage and report on information risk from the business perspective. The FAIRTM Institute and its community focus on innovation, education and sharing of best practices to advance the FAIRTM cyber risk framework and the information risk management profession.

7700+
Members Worldwide
35%
Fortune 1000 Orgs.
19
Local Chapters
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The FAIR Institute is extremely proud to be named one of the
'Three Most Important Industry Organizations of the Last 30 Years'
at the 2019 SC Awards.

Read More here
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RECENT BLOGS

Meet a Member Podcast: Alex Rogozhin, Building a FAIR™ Program Bottom Up at Truist

Risk quantification pioneers come to FAIR™ from all different directions but Alex Rogozhin, Sr. Manager, Cybersecurity Intelligence Team, at banking company Truist had on of the more unusual journeys: coming to FAIR as a first-line-of-defense guy with no official risk title, no budget and no direction from senior management.

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See You at RSA Conference 2020 with Many FAIR™ Events on the Agenda

Plenty of opportunities to learn the basics or sharpen your skills on Factor Analysis of Information Risk (FAIR™) at the big security show in San Francisco next week – conference organizers have named FAIR among the major themes of the year

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Shopping for Cyber Loss Data

One of the keys to consistency when using the FAIR™ model is using the same magnitude across cyber loss data analyses. Particularly when using it for a risk assessment where the goal is to be compliant with regulations and compare the applications to each other, it is reasonable and “fair” to use consistent magnitude amounts.

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POPULAR BLOGS

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Inherent Risk vs. Residual Risk Explained in 90 Seconds

I recently had a conversation with clients around a risk analysis they conducted and noticed as they walked me through it that they seemed to get hung up on the terms “inherent risk” and “residual...

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'Risk Appetite' vs. 'Risk Tolerance'. What’s the Difference?

The terms “risk appetite” and its close cousin “risk tolerance” are often poorly understood, very rarely used to good effect, and commonly used interchangeably.

Similar to the word “risk,” you will...

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Risk Analysis vs. Risk Assessment: What's the Difference?

Yes, this is Cyber Risk 101, but risk analysis vs risk assessment is common confusion, so let Jack Jones explain it in an excerpt from his book Measuring and Managing Information Risk: A FAIR Approach

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