Announcing FAIR Institute DC Chapter Meeting on September 22nd at Evolver Headquarters
The September FAIR Institute meeting will highlight the use of monetary quantification of cyber risk in the legal and insurance sectors.
The DC Chapter of the Factor Analysis of Information (FAIR) Risk Institute will hold its next meeting at Evolver headquarters on Friday, September 22, 2017.
Register now to meet with your peers across a variety of industries and to learn from each other’s expertise and operational practices and to exchange views on possible applications of FAIR.
- A presentation from one of the country’s top legal experts in cyber litigation and insurance issues
- A case study of a recent FAIR implementation for determining insurance levels and structure will be presented
- An update on FAIR implementations across other sectors and news and notes related to the rapid growth of FAIR as the standard for monetary quantification of cyber risk
FAIR Institute DC Chapter Meeting
When: Friday, September 22, 2017, 8:30 – 10:00 am
Where: Evolver, Inc. Headquarters
1943 Isaac Newton Square, Suite 260
Reston, VA 20190
AGENDA
Introductions and Updates
FAIR News and Notes
- FAIR Conference October 16-17
- Updated Information on FAIR use in the Federal Government
- Other news and discussion by the group
Case Study
Chip Block, Vice President Evolver
Ed Peck, Cybersecurity Consultant, Evolver
How to Apply FAIR to an Insurance Assessment
Chip Block, DC Chapter Chair of FAIR and VP, Evolver
Ed Peck, Cybersecurity Consultant, Evolver
Presentation and Group Discussion
Thomas Rohback, Partner, Axinn, Veltrop & Harkrider LLP
Thomas Rohback, Partner, Axinn, Veltrop & Harkrider LLP will lead the discussion on the need for quantification of cyber risk in the legal and insurance sectors
Wrap Up
What is FAIR?
- A Methodology for Quantifying and Managing Risk in any Organization
- Factor Analysis of Information Risk (FAIR) is the only international standard quantitative model for information security and operational risk.
- FAIR provides a model for understanding, analyzing and quantifying information risk in financial terms.
- It is unlike risk assessment frameworks that focus their output on qualitative color charts or numerical weighted scales.
- It builds a foundation for developing a robust approach to information risk management.
Click here for more information about the FAIR Institute.