The COVID-19 pandemic accelerated the shift to digital platforms, resulting in a significant increase in cyberattacks in 2020, with a 300% rise in reported cases and a 650% increase in software supply chain attacks. Cybersecurity professionals face challenges in defending against attackers who think of networks as graphs, exploiting vulnerabilities to gain access to more systems and data. Traditional list-based approaches are insufficient, while graph databases can capture the complexity of IT infrastructure and security tools, enabling defenders to build a complete graph of their infrastructure and create a digital twin to analyze connections at a real-world scale. This approach offers advantages in identifying valuable assets, generating alerts, detecting suspicious behavior, and conducting ongoing cyber risk assessment, ultimately providing predictive, preemptive, and proactive threat identification and management.