Although often used interchangeably, risk appetite and risk tolerance distinguish themselves from one another in a nuanced way. While most regulations and standards focus on the risk management process, few clearly define the differences between these terms in a meaningful way. However, to create an effective cybersecurity program, you need to be able to separate risk appetite from risk tolerance so that you can develop appropriate controls to protect data.
Your primary systems aren’t the only source of damaging exposed credentials. Third-party applications employed by your organization also have privileged logins that must be protected. Cloud platforms, software as a service (SaaS), and local third party applications such as ERP systems often have administrative logins with full control.
The definition of “operational risk” is variable but it generally covers the risk of loss resulting from inadequate or failed internal processes, people and systems or from external events. I, however, want to re-examine this general definition, so that the definition of operational risk takes into account all the cybersecurity-related risks that are currently plaguing organizations today. With the current definition, one cannot quantify internal processes and people.
If you’re involved in IT risk or security, you’ve probably encountered BitSight. It is one of a wave of promised solutions to a growing problem: how to manage the risks posed by your IT vendors in the cloud. The legacy approach to solving this problem is a combination of spreadsheet-based vendor assessments, sporadic penetration tests and vulnerability scans. If you combine this with subjective measurement and scoring of risk, you are probably taking on a lot more risk than you should.
The specialized nature of cyber risk requires the translation of technical details into business terms. Security ratings and cyber risk assessments serve this purpose, much like a credit score does for assessing the risk of a loan. But the methodologies employed by solutions in this space vary greatly, as do their results.
Microsoft’s enterprise software powers the majority of large environments. Though often hybridized with open source solutions and third party offerings, the core components of Windows Server, Exchange, and SQL Server form the foundation of many organizations’ data centers. Despite their prevalence in the enterprise, Microsoft systems have also carried a perhaps unfair reputation for insecurity, compared to Linux and other enterprise options.
