Driven by increasingly sophisticated regulations, ethical and contractual considerations, and customer expectations, among other factors, risk assessment questionnaires have become more complex, with entirely new categories like artificial intelligence assessments. Development professionals have complained about having to complete four or five different reviews before launching their product. Yet, there is rarely a single consolidated view or summary to assess an organization’s overall risk exposure from these various reviews. In this guest article, privacy expert Pari Sarnot discusses the growing complexity of risk assessments and issues that arise from their siloed completion, and offers practical solutions that lie in unification of the process and using metrics to measure success. See our four-part guide to risk assessments: “Types of Assessments” (Jun. 26, 2019), “Techniques and Building a Team” (Aug. 7, 2019), “Where to Look for Risk and Risk Ranking” (Sep. 4, 2019), and “Wrapping Up and Avoiding Pitfalls” (Jan. 22, 2020).