While AI-based analytics and automation have been applied broadly to threat detection techniques and incident response functions, the core detection engineering functions have remained stubbornly manual, prone to errors, and ineffective. Detection engineers still manage their SIEM and SOC detection tools with spreadsheets and lists, despite the fact that they face growing attacker sophistication and constant change in their complex IT infrastructures. Although these threat management tools are capable of providing comprehensive threat coverage, they are typically undermanaged, misconfigured, highly dependent on tribal knowledge, and not optimized to cover the highest-priority MITRE ATT&CK techniques relevant to an organization. These implementation and maintenance gaps leave enterprises exposed to a large array of attacks without any visibility to their detection posture. This is what we call the Threat Coverage Gap! CardinalOps was founded by serial cybersecurity entrepreneurs to bring AI-based analytics and automation to the core detection engineering functions that drive security infrastructure efficacy. We have quantified and enumerated the gap that exists between theoretical optimum threat coverage, represented by the MITRE ATT&CK framework, and actual threat coverage, measured by the actual configurations of SIEMs and other SOC detection tools. The CardinalOps detection management platform was built to bridge that Threat Coverage Gap. Let us show you how.