Here are the ten most popular posts published in 2018 on the FAIR Institute blog.
The most popular blog post published in 2018 covered the key questions that should be a part of every risk identification effort, especially when quantitative analysis is new to an organization.
FAIR creator Jack Jones applies some critical thinking to claims that the “more you spend on security the less likely you are to experience adverse events” and finds plenty of holes. This post is a primer on how to skeptically interpret industry reports on the state of cybersecurity.
Jack Freund, co-author with Jack Jones of the FAIR book, on how to interpret warning signs in a risk management program.
The powerful regulatory agency shook up infosec teams, senior management and boards with its new disclosure guidance issued in 2018 that raised the bar on how cybersecurity risk is to be managed and reported—quantitative cyber risk analytics and the FAIR model suddenly went from nice-to-have to must-have for public companie
Carnegie Mellon University’s Software Engineering Institute (SEI) recognized the importance of FAIR by recommending the risk quantification model be used with its OCTAVE risk management framework. The SEI’s Brett Tucker explains how the two work together to “provide a complete qualitative and quantitative picture of organizational risk.”
The third annual FAIR Conference, held at Carnegie Mellon University in Pittsburgh in October, attracted a record crowd, and high interest in Conference coverage on the Institute blog – altogether those posts were the single most-read topic of the year. See some highlights here:
and see the complete coverage of the 2018 FAIR Conference.
Similar to the SEC’s disclosure guidance for U.S. public companies earlier in the year, this warning from Christine Lagarde, Managing Director of the International Monetary Fund, forcefully brought cyber risk quantification to the forefront in the banking sector. This post by Institute CEO Nick Sanna explains how FAIR is the best answer to Lagarde’s concerns.
James Lam, Director at E*TRADE Financial, and Chair of the board’s risk oversight committee, correctly predicted that boards would demand better cyber risk reporting in 2018, inevitably leading to more use of cyber risk quantification models. James later was a keynote speaker at FAIRCON18; see his talk on the future of cyber risk.
The European Union’s new privacy regulations went into effect in May, proposing stiff fines for companies that didn’t make a “reasonable” level of protection of personal – with no definition of “reasonable.” That left companies scrambling to understand how much to invest in enhanced security to meet the regulations, based on no available past data. That’s a classic problem to solve with the FAIR model, as this post explains.
What better endorsement for the FAIR method than this? McAfee, the cybersecurity industry leader, chose the FAIR model to power its own cyber risk analyses. In this interview, CISO Grant Bourzikas describes introducing FAIR to his organization, combined use with maturity models, and success at reporting to the board. In other Meet a Member blog posts this year, we met FAIR enthusiasts from Cisco, Arizona State University, Highmark Health and PwC.