What do you know about cognitive bias and noise in decision-making? Christophe Foret explores the critical role of Cyber Risk Quantification (CRQ) in understanding and articulating cyber and technology risk scenarios.
Drawing on the research of Daniel Kahneman and Amos Tversky on cognitive biases and noise in human decision-making, as presented in "Thinking, Fast and Slow," Christophe Forêt, Co-Founder of C-Risk, discusses how CRQ can address uncertainty, cognitive bias and noise.
The work of Kahneman and Tversky outlines two systems of human brain judgment, System 1 and System 2. Dependence on mental models creates cognitive biases, systematic errors.
In the more recent book "Noise," unpredictable errors in human responses are covered. In the cybersecurity realm, CRQ with the FAIR standard provides a solution, enhancing decision-making under uncertainty by reducing cognitive bias and noise.
00:00 Introduction
00:26 The 2 systems (D. Kahneman & A. Tversky)
01:30 The Noise
02:12 The difference between Cognitive Bias and Noise
02:50 The CRQ to make better decisions
03:30 Conclusion
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C-Risk is a recognized expert in Cyber Risk Quantification using the FAIR™ methodology. We provide CRQ solutions, advisory services and training.
