As momentum for quantitative cyber risk analytics within the cybersecurity industry grows, RiskLens continues to expand its FAIR training courses and schedule of live training events. Infosecurity and cyber risk management professionals from all industries learn about FAIR and cyber risk quantification directly from the experts at RiskLens, and you can too. Below is information on five ways you can get FAIR training: live or online directly from RiskLens, or at one of three upcoming events hosted by partner organizations.
FAIR (Factor Analysis of Information Risk) 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. Learn more about FAIR.
For those of you who are new to FAIR, we recommend you start with our FAIR Analysis Fundamentals course. Designed to prepare you for the Open Group’s OpenFAIR Certification Exam, this course will teach you the foundational elements of quantitative risk analysis, the structure and definitions of the FAIR Model, and a high-level overview of the risk analysis process. The course includes case studies for you to test your ability to understand a risk scenario and apply data points to the right variables of the FAIR Model. This course is offered both live and online and includes a comprehensive study guide for the certification exam as well as a voucher covering the cost of the test.
Once you have a foundational understanding of FAIR, you’re ready to progress to the next level with the FAIR Analyst Learning Path. It’s a set of four courses, one for each phase of the risk analysis process: Scoping, Collecting Data/Estimates, Running and QA’ing Analyses, and Presenting Results. Through 2.5 hours of instructional videos, interactive exercises, resource documents, and cybersecurity risk assessments reviewed by experienced FAIR practitioners from the RiskLens Academy, participants will gain an in-depth understanding of how to scope and prioritize scenarios for analysis, collect data and estimates to input into the FAIR model, perform quality assurance on completed analyses, and present analysis results to decision-makers. After completion of the FAIR Analyst Learning Path, participants will have the skills, resources, and confidence to complete high-quality risk analyses within their organizations.
The third quarter of 2018 presents some fantastic opportunities for you to attend live FAIR training led by RiskLens experts.
SANS Baltimore Fall 2018
Both the FAIR Analysis Fundamentals and FAIR Analyst Learning Path courses will be offered live in a first-ever 4 day training event hosted by SANS on September 10th through 13th in Baltimore, MD.
RiskLens will present a session on FAIR including case studies and practical examples at this event hosted by Risk.net on September 26th and 27th in New York City.
FAIR Conference 2018
The FAIR Analysis Fundamentals course will be offered live in a pre-conference training before the FAIR Institute’s 2018 FAIR Conference hosted at Carnegie Mellon University in Pittsburgh, PA. The course dates are October 14th and 15th, with the conference taking place on the 16th and 17th.
To register for one of RiskLens’ online course offerings, visit the RiskLens Academy.
To schedule a live FAIR Analysis Fundamentals training course for your organization, fill out this contact form:
Please feel free to reach out to firstname.lastname@example.org at any time with any questions you may have about RiskLens’ training offerings.
Looking for some solid justifications for FAIR training?
- Cybersecurity risk leaders like McAfee and MassMutual apply the FAIR model to solve business problems. See how more IT risk teams use RiskLens in our Case Studies.
- 3,000 IT risk analysts and cybersecurity managers have joined the FAIR Institute, which promotes education on the FAIR model.
- Gartner endorses risk quantification as one of the five pillars of cybersecurity risk management.
- The SEC and other regulators are directing companies to disclose probable cyber risk in financial terms.