Taegis VDR and Taegis XDR both use machine learning (ML)-based prioritization algorithms to continuously improve over time. The combination of the two systems into a single, integrated platform improves upon both use cases by sharing additional information about assets that are vulnerable and those that are observing malicious activity. It also eliminates the need for security analysts to swivel between toolsets when examining the risks posed by vulnerabilities and threats, which can be a manual and time-consuming process. Leveraging a unified platform that can ingest and correlate data from both sources allows security analysts to achieve more detailed and rapid analyses. This, in turn, facilitates swifter remediation actions that not only halt adversaries but also strengthen the organization's defenses against future threats.