Fundamentals of Detection Engineering
Across nearly every industry, a top concern for executives and board members is the security of their digital assets. It’s an understandable concern, given that companies are now more interconnected and reliant on technology than ever before. Digital assets and their supporting infrastructure comprise ever-increasing portions of a typical organization’s inventory. Additionally, more processes are becoming reliant on robust communication technologies. In most cases, these technologies enable companies to operate more effectively. The management and defense of this new digital landscape, however, can be challenging for organizations of any size.
Additionally, where sophisticated attacks used to be limited to nation-state adversaries, the increased interconnectedness of technology, coupled with the emergence of cryptocurrencies, creates a near-perfect environment for cyber criminals to operate in. The addition of sophisticated threat actors motivated by financial gain rather than those limited to nation-state motivations has dramatically broadened the number of organizations that must be able to identify and respond to such threats. Stopping these attacks requires increased agility by an organization to combat the adversary. A detection engineering program provides that agility, improving an organization’s ops tempo to operationalize intelligence about new threats. The primary goal of detection engineering is to develop the rules or algorithmic models to automatically identify the presence of threat actors, or malicious activity in general, promptly so that the relevant teams can take mitigative action.
In this chapter, we will discuss several topics that will provide you with knowledge that will be relevant throughout this book:
- Foundational concepts, such as attack frameworks, common attack types, and the definition of detection engineering
- The value of a detection engineering program
- An overview of this book
