A few months ago I was asked to provide some detailed statistical information about the “precise rates of occurrence” and the “precise costs of computer crimes and other security incidents” so that a financial department could calculate the Return on Investment (ROI) for some planned security projects. As anyone who has been in this position will tell you – there is trouble on the horizon when this question is asked.
Unfortunately in today’s economy, the question will be asked again and again in and around the boardrooms and hallways of many companies around the country. Now more than ever there will be pressure to trim the budget and unfortunately Risk Management and Information Security are often the first places people look to trim.
In cases like this I think that it is just as important how we respond to these inquiries as it is with what we are responding with. At my client’s suggestion, what follows is an excerpt from a follow up email that I sent to the client CFO regarding the question of Security ROI. We initially covered this material in a face to face meeting that went very well. To date the meeting was successful as my client has told me that the finalized budget for next fiscal year has come out and his information risk management projects have been funded at the levels he requested. (Both my client and their CFO have approved the following as it is generic and does not identify them or their industry in any way.)
FROM: Graydon McKee
TO: CFO
SUBJECT: RE: Hard figures for ROI on security
Mr./Ms CFO,
Thank you for your time earlier today. I appreciate the opportunity to place some context surrounding the calculation of ROI when it comes to risk management and information security activities.
To summarize our discussion: Detailed statistical information within the field of information security is unreliable and woefully inadequate to achieve appropriate levels of confidence for use in return on investment (ROI). ROI can be calculated however it must be understood that, in the case of information security, any resulting figure will be the result of both a qualitative and a quantative assessment as opposed to a clear statistical exercise. Allow me to discuss the issues involved .
Ideally, in order to calculate ROI we would want to evaluate our level of risk by comparing ourselves to other organizations with similar systems and business characteristics. Unfortunately, this information is not currently reliable. Two of the fundamental difficulties that exist are in the nature of computer crime detection and reporting.
The most appropriate illustration of the problem is that of the Defense Information Systems Agency and the studies they conducted between 1994 and 1996. They performed 68,000 system penetrations during that period and found that two-thirds of their attacks succeeded. Of the two-thirds or approximately 45,000 attacks, only four percent were even detected. Of those detected, only a fraction of one percent were even reported.
Now by all accounts our detection capabilities have improved since 1996. What is more telling is the number that were reported. Let me break down those number. Four percent of 45,000 is 1,800. Of the 1,800 detected attacks that were detected less than 18 were reported (18 being one percent of 1,800).
These numbers are still consistent with the commonly held view within the Information Security field that only one–tenth of all crimes committed against or with a computer are detected. Of those detected only about ten percent are actually reported. This would render the reliability of existing statistical data virtually useless with regard to the determination of rates of occurrence. All this said there is a positive note that I’ll get to shortly.
Another issue is with the studies themselves. In order for the studies to provide real data upon which we can run statistical analysis, we need to determine that we have both an appropriate sample size as well as assurance that the sample is truly random. The very nature of the studies lends itself to bias in that the individuals and companies which are more likely to respond to such surveys, can be realistically assumed to be more security conscious and therefore be paying more attention to security. This creates a bias within the survey data itself. In addition, the existing surveys do not track the same respondents from a year to year basis thus making correlation from year to year tenuous at best.
The final issue that I’ll point out is the issue of Association versus Causality. Some studies can be misinterpreted by equating the presence of technology with good security. Technology deployed by highly skilled and knowledgeable staff can result in greater protection and therefore a greater ROI over time but the same technology installed by less skilled and knowledgeable staff can actually increase the risk of a security event occurring. Too many variables exist to rely on such association judgments.
Determining the Return on Investment for Security is something that has plagued the industry from its very inception. Many different methodologies have come and gone with various degrees of success but at the core of each of them lies a significant amount of subjectivity and assumption.
The positive note that I mentioned earlier is this. While we may not be able to rely upon information security studies to provide us statistically reliable data upon which to base ROI calculations, we can rely upon it to show us trends. We can use this trend data to help focus our attention on areas of increased risk. This is qualitative analysis.
If we combine this qualitative analysis with a quantative measure of ROI (acknowledging the fact that we are using insufficient data at best) then I believe that sound risk-based and cost-based decisions can be made.
** Let me conclude this post by making one final statement. While I acknowledge the issues surrounding information security surveys I don’t want to give the impression that I think they are useless. I don’t – I actually think they are quite valuable. I am cautious about using them to present precise figures though.
These figures can be easily misinterpreted so when pressed to provide figures I always try to do so within a context. In this particular case, the business cases for the security initiatives in question were accompanied with an attempt at calculating ROI. This was done because it was a requirement of all funding requests within this organization. The ROI calculations were built using a rough model that I put together based upon the ROSI work done by the New South Wales Government, some work out of Carnegie Mellon University, and a few other places. The data used came from a few different surveys. Each data set is run separately through the model and then compared and averaged. It isn’t perfect but it does provide a basis upon which qualitative analysis can begin. It is my belief that in the end it became less about the numbers themselves than about the process. By establishing the process and attempting to take a 360 degree view of the problem, solution, and the benefit the company would gain, senior management was convinced that we were making reasonable prudent funding requests.
Tags: Return on Investment, ROI

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