Merging Threat Modeling with Threat Hunting for Dynamic Cybersecurity Defense

Abstract

As technology advances swiftly and the Internet of Things undergoes significant growth, the world is experiencing a surge in data creation. This has resulted in the rapid emergence of novel applications, bringing forth a broader range of intricate and challenging threats that pose difficulties in detection. Therefore, a comprehensive and proactive approach is needed to identify and mitigate security threats. In this article, we combine threat modeling and threat hunting using different approaches in order to provide a more holistic understanding of the security posture of the system, by leveraging the threat model capability in anticipating potential threats and the capability of the threat hunting in identifying evolving and previously unidentified threats. This integration allows for early detection and mitigation of potential threats and enables organizations to enhance their incident response readiness, implement targeted risk mitigation strategies, and fortify their overall cybersecurity posture in the face of evolving and sophisticated threats.