Enable javascript in your browser for better experience. Need to know to enable it? Go here.
radar blip
radar blip

Risk-based failure modeling

Published : Sep 27, 2023
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Sep 2023
Trial ?

Risk-based failure modeling is a process used to understand the impact, likelihood and ability of detecting the various ways that a system can fail. Delivery teams are starting to use this methodology to design and evaluate the controls needed to prevent these failures. The approach is based on the practice of failure modes and effects analysis (FMEA), a risk-scoring technique that has been around since the 1940s and with a successful track record in industries that build complex physical systems such as aerospace and automotive. As with those industries, software failure can also have dire consequences — compromising, for example, human health and privacy — which is why we're seeing an increased need for systems to undergo rigorous analysis. The process starts by identifying the possible failure modes. The team then performs a root cause analysis and assigns scores according to the likelihood of a failure occurring, the size of its impact and the probability of detecting the root cause of the failure. We've found this to be most effective when cross-functional teams iterate through this process as the system evolves. When it comes to security, risk-based failure modeling can be a useful complement to threat modeling and attack path analysis.

Download the PDF

 

 

English | Español | Português | 中文

Sign up for the Technology Radar newsletter

 

Subscribe now

Visit our archive to read previous volumes