Hybrid Virtual Training | Feb. 3 - 7, 2025

In this course, you will discover the challenges with conventional, qualitative risk management methods. We will introduce you to the FAIR Standard and methodology, associated processes, and terminology. You will also learn key measurement concepts, calibrated estimation methods necessary to conduct quantitative risk analysis in your agency or department, and best practices to communicate analyses to stakeholders. The learning experience is further solidified by hands-on work on applicable use cases.

The Hybrid-class course is designed and taught by experienced FAIR experts. Designed to be the best of both methods, giving you the flexibility of self-paced lessons and office hours.

By the end of the course, participants will be able to:

• Know the FAIR Standard (variables, definitions, relationships, forms of loss, etc.)
• Explain the FAIR risk analysis process
• Properly scope scenarios for analysis
• Use calibrated estimation in quantitative risk analysis
• Map controls to the FAIR Standard to analyze risk mitigation
• Interpret the results of a FAIR analysis and create reports for stakeholders
• Apply their knowledge to case studies based on real-life scenarios

Hybrid Virtual Training | April 7 - 11, 2025

In this course, you will discover the challenges with conventional, qualitative risk management methods. We will introduce you to the FAIR Standard and methodology, associated processes, and terminology. You will also learn key measurement concepts, calibrated estimation methods necessary to conduct quantitative risk analysis in your agency or department, and best practices to communicate analyses to stakeholders. The learning experience is further solidified by hands-on work on applicable use cases.

The Hybrid-class course is designed and taught by experienced FAIR experts. Designed to be the best of both methods, giving you the flexibility of self-paced lessons and office hours.

By the end of the course, participants will be able to:

• Know the FAIR Standard (variables, definitions, relationships, forms of loss, etc.)
• Explain the FAIR risk analysis process
• Properly scope scenarios for analysis
• Use calibrated estimation in quantitative risk analysis
• Map controls to the FAIR Standard to analyze risk mitigation
• Interpret the results of a FAIR analysis and create reports for stakeholders
• Apply their knowledge to case studies based on real-life scenarios

Hybrid Virtual Training | Sept. 8 - 12, 2025

In this course, you will discover the challenges with conventional, qualitative risk management methods. We will introduce you to the FAIR Standard and methodology, associated processes, and terminology. You will also learn key measurement concepts, calibrated estimation methods necessary to conduct quantitative risk analysis in your agency or department, and best practices to communicate analyses to stakeholders. The learning experience is further solidified by hands-on work on applicable use cases.

The Hybrid-class course is designed and taught by experienced FAIR experts. Designed to be the best of both methods, giving you the flexibility of self-paced lessons and office hours.

By the end of the course, participants will be able to:

• Know the FAIR Standard (variables, definitions, relationships, forms of loss, etc.)
• Explain the FAIR risk analysis process
• Properly scope scenarios for analysis
• Use calibrated estimation in quantitative risk analysis
• Map controls to the FAIR Standard to analyze risk mitigation
• Interpret the results of a FAIR analysis and create reports for stakeholders
• Apply their knowledge to case studies based on real-life scenarios

Hybrid Virtual Training | Nov. 3 - 7, 2025

In this course, you will discover the challenges with conventional, qualitative risk management methods. We will introduce you to the FAIR Standard and methodology, associated processes, and terminology. You will also learn key measurement concepts, calibrated estimation methods necessary to conduct quantitative risk analysis in your agency or department, and best practices to communicate analyses to stakeholders. The learning experience is further solidified by hands-on work on applicable use cases.

The Hybrid-class course is designed and taught by experienced FAIR experts. Designed to be the best of both methods, giving you the flexibility of self-paced lessons and office hours.

By the end of the course, participants will be able to:

• Know the FAIR Standard (variables, definitions, relationships, forms of loss, etc.)
• Explain the FAIR risk analysis process
• Properly scope scenarios for analysis
• Use calibrated estimation in quantitative risk analysis
• Map controls to the FAIR Standard to analyze risk mitigation
• Interpret the results of a FAIR analysis and create reports for stakeholders
• Apply their knowledge to case studies based on real-life scenarios

Tuesday, December 10, 2024 | 11 AM ET / 8 AM PT

The rapid rise of generative AI has created new opportunities for the enterprise while also introducing new risk issues that must be measured, prioritized and addressed.  New tech, advanced models enabling innovative business applications result in unique risk scenarios and mitigation options that may challenge the cyber focused risk analyst.  What approach should be used?  How can the FAIR risk analyst decompose the problem and deliver credible, defensible guidance?

This session will examine how to apply the FAIR-AIR Approach Playbook created by the FAIR Institute to quantify AI risk in financial terms allowing stakeholders to make rational business decisions (cost-benefit) on risk treatment options.

Key Takeaways:

• Help you identify your AI loss exposure and enable risk-based decisions
• Insure proper data and alignment for scenarios and use cases
• Know how to meet the business needs and enable AI deployment

Sponsored by Ostrich Cyber-Risk.

Monday, December 16, 2024 | 11 AM ET / 8 AM PT

Join our upcoming webinar IT Security Controls Prioritization Using FAIR-CAM™, hosted by C-Risk Co-founder Tom Callaghan, Jack Jones, Chairman Emeritus of the FAIR Institute, and Rob Moore, VP of Technology Risk at Mastercard. The recent extension to the FAIR™ model, FAIR-CAM™, provides data-driven insights into controls efficacy and measures the risk reduction of control improvements in the context of specific risk scenarios.

FAIR-CAM™ takes a physiological approach to understanding control functions—an area often only superficially addressed by traditional cybersecurity frameworks. This model offers a deeper understanding of the key dependencies between controls and provides a clear measure of control efficacy.

In this one-hour webinar, you’ll learn how to leverage FAIR-CAM™ to enhance control prioritization and take actionable steps to reduce the likelihood and impact of threat event.

Sponsored by C-Risk.