In Part 7, we showcased how we can leverage automation to continuously monitor the performance and trigger rate of our deployed detections. In this part, we are going to investigate how we can introduce automation and utilize continuous deployment pipelines to streamline the tedious task of tuning our detections.
In this part, we are going to introduce automation to effectively monitor our deployed detections. By setting up automations at this phase we adopt a proactive approach towards maintenance, allowing our team to take action before a blowout of alerts or an untuned detection is escalated by the SOC.
The deployment phase is one of the most challenging steps in the Detection Development Life Cycle due to its implementation complexity. In this part, we will explore the principles and practices of deploying rules to target platforms. Additionally, we will go through some of the challenges encountered when designing and implementing a deployment pipeline, along with suggestions on how to overcome them, to ensure that our Continuous Deployment pipeline operates smoothly.
Versioning in the detection library is crucial for maintaining traceability and tracking changes to individual detections and content packs. It enables us to pinpoint the exact state of specific detections at a given point in time, provides a clear history of updates, and facilitates troubleshooting and debugging by identifying which version introduced particular changes.
Sufficiently documenting our detections is essential in detection engineering as it provides context around the the purpose, detection logic, and expected behaviour of each detection rule. Just as important as documenting individual detections is tracking how the overall detection library evolves. In this part we are looking into how we can tackle both of those issues.
In this part, we focus on implementing validation checks to improve consistency and ensure a minimum level of quality within the detection repository. Setting up validation pipelines is a key step, as it helps enforce the defined standards, reduce errors, and ensure that detections are reliable and consistent.
