Many months ago, my colleague David Severski asked on Twitter how Modern Portfolio Theory (MPT) does or does not apply to quantified cyber security risk:
I replied that I would blog on this "...soon". Ha! Almost four months later. Well, better late than never.
Short answer: No, MPT doesn't apply. Read on for explanations.
NOTE: "Cyber security risk" in this article is quantified risk -- probabilistic costs of loss events or probabilistic total costs of cyber security. Not talking about color-coded risk, categorical risk, or ordinal scores for risk. I don't ever talk about them, if I can help it.
Showing posts with label finance. Show all posts
Showing posts with label finance. Show all posts
Tuesday, December 18, 2018
Tuesday, July 30, 2013
The Cost of a Near-miss Data Breach
[This post originally appeared in the New School of Information Security blog on October 6, 2009. This idea was incorporated in the breach impact model presented in this paper, where you can find more details: ]
If one of your security metrics is Data Breach Cost, what is the cost of a near miss incident? This seemingly simple question gets at the heart of security metrics problem.
Consider the gleeful Jerry Mouse in this cartoon. Tom the Cat has just missed in his attempt to swat Jerry and turn him into mouse meat. Is there any cost to Jerry for this near miss? Is Jerry’s cost any different than if he was running with Tom no where in sight?
By “near miss” I mean a security incident or sequence of incidents that could have resulted in a severe data breach (think TJX or Heartland), but somehow didn’t succeed. Let’s call the specific near-miss event “NM” for short. For sake of argument, let’s assume that the lack of attack success was due to dumb luck or attacker mistakes, not due to brilliant defenses or detection. Let’s say that you only discover NM long after the events took place. For simplicity let’s assume that discovering NM doesn’t result in any extraordinary costs, meaning that out-of-pocket costs are the same just before and immediately after NM. Finally, assume that your expected cost of a successful large-scale data breach is on the order of tens of millions, with the worst case being hundreds of millions of dollars.
How much does NM cost? The realist answer is “zero”. (Most engineers are realists, by disposition and training.) There is a saying in street basketball that expresses the realist philosophy about losses and associated costs: “No blood, no foul”. If you ask your accountants to pour over the spending and budget reports, they will probably agree. Case closed, right?
Not so fast….
How Bad Is It?–A Branching Activity Model to Estimate the Impact of Information Security Breaches
If one of your security metrics is Data Breach Cost, what is the cost of a near miss incident? This seemingly simple question gets at the heart of security metrics problem.
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| Jerry escapes death, but is it cost-free? |
By “near miss” I mean a security incident or sequence of incidents that could have resulted in a severe data breach (think TJX or Heartland), but somehow didn’t succeed. Let’s call the specific near-miss event “NM” for short. For sake of argument, let’s assume that the lack of attack success was due to dumb luck or attacker mistakes, not due to brilliant defenses or detection. Let’s say that you only discover NM long after the events took place. For simplicity let’s assume that discovering NM doesn’t result in any extraordinary costs, meaning that out-of-pocket costs are the same just before and immediately after NM. Finally, assume that your expected cost of a successful large-scale data breach is on the order of tens of millions, with the worst case being hundreds of millions of dollars.
How much does NM cost? The realist answer is “zero”. (Most engineers are realists, by disposition and training.) There is a saying in street basketball that expresses the realist philosophy about losses and associated costs: “No blood, no foul”. If you ask your accountants to pour over the spending and budget reports, they will probably agree. Case closed, right?
Not so fast….
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