Yesterday, while speaking to a university cybersecurity class, I was accused of being pedantic when I pointed out a problem with the phrase “The risk of that impact…”
FAIR model creator Jack Jones recently answered a FAIR Institute member's question about terminology that's one of those easily confused yet critical distinctions in cyber risk management: What's the difference between a security exception (or policy exception) and risk acceptance?
Star Trek movie fans will likely recognize “Kobayashi Maru” as a reference to the training exercise used by Star Fleet to evaluate how cadets respond to a no-win scenario.
You will hear some in the profession refer to “upside risk” and “downside risk”, or “positive risk” and “negative risk.” This can be confusing for the vast majority of people who think of risk solely in terms of loss from adverse events
One of the significant hurdles we have to overcome as a profession is our addiction to “zero cost” risk measurement. Let me explain…
A few days ago I had the privilege of providing the opening keynote address at an IANS event in Dallas. If you’re not familiar with IANS (Institute for Applied Network Security), I encourage you to look into it as I believe it serves a very useful purpose and is working hard to be forward-looking. Regardless, one of the questions that was discussed at this event was how much of a CISO’s focus should be on business versus technology.
This last post in the series will focus on briefly summarizing and answering the thoughts/concerns posted by Martin Huddleston in his comments following Part 2. I felt this follow-up post was warranted because some readers seemed to misinterpret Martin’s comments as an indictment
In the first post of this series, I focused on answering a commonly expressed concern about the reliability of cyber risk measurement. At the end of that post, I mentioned that some readers might draw a distinction between an example I gave and the real world of cyber risk measurement.
The Wall Street Journal recently referenced a research report published by Ponemon Institute entitled The True Cost of Compliance With Data Protection Regulations. After reading the report I’ve come to the conclusion that although the research objective was admirable, it completely missed the target.
When I was recently asked to write a blog post making cyber and technology risk predictions for 2018, I balked. If you’ve read (and you should read) Superforecasting: The Art and Science of Prediction (Dan Gardner and Philip Tetlock), you’ll understand why.