As a student of both the fields of Information Technology/Security and Management Science (http://en.wikipedia.org/wiki/Management_science), I often find myself looking at security issues through a “decision-oriented” lens. For the most part, these two disciplines make good bedfellows – especially when one considers that engineers dominate the Information Security field. Please don’t misinterpret this; I have a healthy respect for and advocate our need of engineers (I’ve even helped teach and graduate some of them). However, not all of our problems are engineering problems and I do believe that our ability to truly manage information risk is hindered by a shortage of input from other disciplines (though I’ve seen at least some improvement in recent years).
One area where the engineering and management mindset clash is in decision-making. The engineer asks “What do I need to know to precisely formulate all factors in this decision?” while the management scientist asks “What do I need to know to make a good decision?”. In such matters, I side heavily with the management scientist.
The obvious application of this is in evaluating potential security initiatives or projects (“Should we do X, Y, or Z?”). In most cases, it is impossible to precisely formulate all factors in the decision, so we abandon the “scientific” route and revert to some other method of making it (see below). This is where our predominantly engineering mindset hurts us. Instead, we should realize that organizations have always made decisions using varying amounts of information of varying quality. Our dilemma is not new. Valid and vetted approaches exist for structured decision problems with an abundance of precise data and also for unstructured problems with sparse amounts of “fuzzy” data. They are out there and eagerly waiting for us to apply them to problems in our domain.
Ok, I’m off the soapbox. The main goal of this post is to ask how your company makes “Should we do X, Y, or Z?” decisions. I’ll start the conversation by listing the methods I see used most often. In doing so, I make no judgment on any method’s ability to support good decisions (though it’s clear some have more value than others).
• The “Adamant Auditor” method: You’ve been here. The 22 year old kid shows up 3 months out of the university with his checklist etched in stone. He darn well better be able to check off all those boxes or you’re toast. “But if X does Z and Y does Z, then X=Y… and we’ve done Y” you argue only to receive blank stares. Good luck with that. Unless you can build a credible risk-based argument, you might as well just do X like he says.
• The “Peer Pressure” method: This is the grown-up equivalent to doing what the cool kids do “Peers X and Y are doing Z, so we should too” is the justification here. It might be that X and Y have their act together and are great role models. Then again, they might think that alcohol, blindfolds, and a game of high-speed Chicken make for a great Friday night. Remember what your Mama said – “If so and so jumped off a cliff, would you?”
• The “WIBeHI” method: If you’ve ever used anything that sounds remotely like “Wouldn’t It Be Horrible If X happened, therefore we should do Y” to justify a security initiative, then you’ve used this method. The potential worst-case scenario (and often some extra FUD for good measure) is the main decision criterion in this approach.
• The “Guru Guidance” method: Every organization has its guru and every guru has his opinion. Just ask him. It might be that nobody understands the technical justification behind what they’re recommending, but he knows his stuff, right? Right?
• The “Poll the Panel” method: Often called the “Delphi Method” but I’ve never thought the name very fitting. No journey to a mystical oracle with secret knowledge is required; you simply gather your smart folks and get them to come to a decision. The assumption is that decisions made by many are better than decisions made by one.
• The “Pet Project” method: Perhaps it was the advertisement in that magazine on the plane. Maybe that analyst report. Who knows why your boss wants that project so badly, but its clear she does. And in this job market, who’s going to argue? If you can get it done while also squeezing in something with actual benefit, there’s a chance you can still put a mark in the Win column.
My tone here is obviously facetious but I am quite serious that I believe these methods (or some form of them) account for the majority of security decisions made in most organizations. Is this your experience as well? We’ve put up a quick, one-question poll on the topic here and would love to hear from you (we’ll share the results later). If any of these methods resonate or if you have some to add, please chime in.
As a student of both the fields of Information Technology/Security and Management Science, I often find myself looking at security issues through a “decision-oriented” lens. For the most part, these two disciplines make good bedfellows – especially when one considers that engineers dominate the Information Security field. Please don’t misinterpret this; I have a healthy respect for, and advocate our need of, engineers (I’ve even helped teach and graduate some of them). However, not all of our problems are engineering problems and I do believe that our ability to truly manage information risk is hindered by a shortage of input from other disciplines (though I’ve seen at least some improvement in recent years).
One area where the engineering and management mindset clash is in decision-making. The engineer asks, “What do I need to know to precisely formulate all factors in this decision?” Meanwhile, the management scientist asks “What do I need to know to make a good decision?” In such matters, I side heavily with the management scientist. (more…)