Digital Cyber Twin machine reasoning provides several unique advantages in the context of continuous threat exposure management. One of the main benefits is the capability to simulate a very large number of threat scenarios to derive the risk from potential adversarial activities. This enables organizations to proactively identify and address vulnerabilities before an attack occurs, reducing the likelihood of a successful attack and minimizing the damage caused by an attack.
Another advantage is the capability to combine information from a variety of domains into a single risk model that takes advantage of wide data. For example, vulnerabilities, asset configuration, connectivity, access, and privileges can all be combined into a single model to provide a comprehensive view of an organization's security posture. This enables organizations to identify areas of weakness and develop strategies to mitigate risk.
Digital cyber twins also have the ability to add new assumptions as "what if" risk scenarios. This allows organizations to explore hypothetical scenarios and develop strategies to address them, further strengthening their security posture.
The capability to analyze the effects of mitigation scenarios and find pivotal mitigation assets, pinch points, and alternative mitigations is another unique advantage of Digital Cyber Twin machine reasoning. This enables organizations to determine the most effective strategies for mitigating risk and building cyber resilience.
Finally, the explainability of Digital Cyber Twin machine reasoning is another advantage that makes it a valuable tool for continuous threat exposure management. Reasoning systems excel in the ability to explain the "thought" process that led to the conclusion, which is lacking in most machine learning systems. This enables organizations to understand how the system arrived at its conclusions and develop a deeper understanding of their security posture.
In summary, digital cyber twins are a valuable tool in the context of continuous threat exposure management. By leveraging machine reasoning to simulate cyber attacks, combine information from multiple domains, explore hypothetical scenarios, and analyze mitigation strategies, organizations can proactively identify and address vulnerabilities, mitigate risk, and build cyber resilience. Despite the challenges associated with building digital cyber twins, the benefits they provide make them a valuable investment for any organization looking to stay ahead of the curve in the world of cybersecurity.