Part 2 of our Master Class on FAIR Wednesday 29th October 16:00 to 17:00. The previous masterclass was on 23rd July - FAIR Quantifying Cyber Risk
AI Meets FAIR: Quantifying Risk Controls with Jack Jones and the FAIR-CAM Assistant
This session opens with a live demonstration of the FAIR-CAM Assistant, a custom GPT-5-powered model built to help practitioners apply FAIR-CAM (Controls Analytics Model) principles in real time.
Developed as an intelligent learning partner, the FAIR-CAM Assistant can:
• Explain FAIR-CAM concepts in accessible, business-relevant terms.
• Map frameworks such as NIST CSF and ISO 27001 to FAIR-CAM control categories.
• Walk through quantitative control analysis using multiple resistive factors.
• Generate example scenarios showing how control interactions affect loss exposure.
• Clarify how FAIR-CAM ties back to overall FAIR risk measurement.
Jack Jones Bio
Jack has worked in information security and risk management for over thirty-seven years, ten years of which as a CISO with three different companies. He’s won several industry awards and teaches in Carnegie Mellon University’s CISO executive program. Jack also created the “Factor Analysis of Information Risk” (FAIR) and FAIR-CAM models which have been adopted as international standards for measuring risk. In 2015 he co-authored a book on FAIR entitled “Measuring and Managing Information Risk, a FAIR Approach,” which was inducted into the Cyber Security Canon in 2016.