About The Open FAIR™ 2 Foundation Certification
The Open FAIR™ 2 Foundation certification is important because it validates a foundational understanding of the quantitative Open FAIR™ Body of Knowledge, which is essential for effectively managing and assessing risk in today’s complex cybersecurity landscape. Certified risk professionals demonstrate the ability to quantify and prioritize risks in financial terms, making it easier to communicate risk insights to business stakeholders.
The beginnings of Open FAIR™ 2 Foundation Certification
In 2007, the Factor Analysis of Information Risk (FAIR) was introduced to The Open Group. The Open Group is a consensus-based member organization that creates open standards and publishes best practices for in the fields of Security and Risk. In 2009, the Open Group first published the first version of the Risk Taxonomy Standard (O-RT). In 2012, the Risk Analysis Standard (O-RA) was published. These two standards are called the Open FAIR™ Body of Knowledge.
The Open FAIR™ Body of Knowledge is a tool for professionals to learn how they can perform rigorous and consistent risk analyses. The Body of Knowledge also helps risk professionals evaluate the efficacy of a risk assessment and analysis model.
In 2013, the Open FAIR™ Certification program was launched. Since 2024, the Open FAIR™ 2 Foundation Exam has been offered to validate a candidate’s knowledge and understanding of the Open FAIR™ Body of Knowledge.
Open FAIR™ 2 Certification advantages
The Open FAIR™certification validates a professionals understanding and knowledge of the Open FAIR™ framework and methodology. Some of the concepts that are tested by the exam are:
- Understanding of the Open FAIR™ taxonomy and how factors are related
- How to perform consistent and defensible risk analyses
- How to take an organizational view of risk
- How to defend your results
Who will benefit from the Open FAIR™ 2 certification?
- Senior-level executives
- Professionals working in information system security and operations
- Risk analysts
- Decision-makers
- Anyone interested in probabilistic risk analysis models