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losses. Again, awareness is a tactic, and solving UIL requires a comprehensive strategy.

      Ideally, you now have an understanding that the nature of the problem is not necessarily that users make mistakes but that user actions can initiate loss in some form. This empowers you to know that users do not control the destiny of the organization. Instead, your job is to prevent users from making potentially harmful actions and then mitigate the resulting loss.

      However, before we detail a holistic strategy, we need to set the foundation for that strategy. We have to ensure there is common knowledge, if for no other reason than to practice what we preach. While many of the disciplines covered in Part II appear unrelated, they all play a part in ensuring a comprehensive strategy.

      People often mistakenly assume that “mitigating loss” means preventing all potential loss. That is impossible. There will always be some form of loss in operations. Perhaps one of the best definitions of risk is this one from ISO 27000:

       Risk is the effect of uncertainty on objective.

      Similarly, we want to be careful about what we mean when we discuss “optimizing risk.” People generally believe that minimizing risk implies you should spend whatever it takes to avoid as much risk as possible. Trying to prevent all risk and loss might cost more to achieve than the actual loss you hope to mitigate.

      What you are actually trying to do is manage the loss. The concept of balancing potential loss with the cost of mitigating it is called risk management.

      As this book specifically addresses user-initiated loss (UIL), including malice and other potential forms of loss, you need to not just understand the concept of risk management as a whole, but also consider it in the context of mitigating the risk that is inherent in users.

      This means you need to open your mind to potentially changing workflows and reducing some capabilities of users within your organization. While there may be some pushback against doing this, the reality is that while you are removing the ability of users to initiate loss, you are also simplifying the process and making it more efficient at the same time. In Chapter 1, we discussed the timers for cooking at McDonald's. Removing the discretion of the cooks delivers a more consistent product while reducing the potential stress for “eyeballing” properly cooked food and the inevitable reprimands when food is undercooked or overcooked.

      These are the types of decisions that you have to make during the process of “stopping stupid.” You need to weigh the benefits of giving users specific capabilities against the potential loss those capabilities might cause. This requires a consideration of risk. The better you understand risk, the better you can make such determinations.

      People normally assume that “risk” means the likelihood that something catastrophic is going to happen. In a manufacturing setting, it could mean that an error causes a major recall. From a safety perspective, it could mean that death or a major injury could happen to an employee or a client. From an IT perspective, it could mean that something causes a major network outage and takes down the organization. There is a fallacy that addressing risk merely means that you should try to prevent a disaster from occurring.

      A smart risk reduction program looks at the breadth and depth of risks, large and small. The reality is that small risks, in aggregate, add up to major losses. This is the metaphorical death by 1,000 cuts, where a single cut is inconsequential, but with enough cuts, the loss of blood is deadly.

      The concept of total quality management (TQM), discussed in Chapter 12, addresses the fact that small losses throughout a process add up to major losses. For example, if you have a manufacturing process that has 10 steps, and the defect rate is around 1% in each step, in total, your manufacturing process has a defect rate of roughly 10%. That is significant.

      It is the same with all disciplines involving security and risk. A single incident involving a small loss may not be recorded. In organizations with strong safety programs, every injury reported, from a small cut to death, is recorded and tracked. However, in most organizations, few incidents are recorded and tracked. As we talk about risk management and security programs deserving more attention and resources, a significant way to begin to improve results is to record and track as many incidents as possible.

      To address UIL, you need to understand where it comes from. You also need to know where and how to mitigate the loss, and even whether you want to do so in the first place. That might sound counterintuitive. Clearly, you want to mitigate loss as effectively as possible, but only when it makes sense to do so. It is possible that sometimes mitigating a particular loss is more expensive than to actually letting it happen.

      To make these determinations, you need to understand how to approach them rationally. Unfortunately, there are many ways people react irrationally when it comes to loss. It is easy to get overwhelmed by anxiety and uncertainty when thinking about loss. It is also easy to be lulled into a false sense of security and ignore loss altogether, because a major loss seems so unlikely, while a minor loss seems unnecessary to worry about.

An illustration of the risk equation.

      Looking at Figure 4.1, value is what

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