Imagine having a perfect digital mirror of your entire computer network that updates in real-time. Instead of humans manually hunting for hackers, this mirror automatically spots intruders and shuts them down before they can move from one supplier to another. It's like having a security guard who can predict a thief's next move by simulating it in a virtual world first.
Cybersecurity operations are currently fragmented and rely too heavily on slow human interaction to report and fix vulnerabilities. This creates dangerous gaps when digital services are interconnected across different suppliers.
A Cybersecurity Digital Twin (CDT) that models system security and automates threat hunting and attack eradication.
If you are a Smart City Operator dealing with fragmented security across multiple service providers — this project developed a Cybersecurity Digital Twin that detects and stops lateral movements of attacks across digital chains.
If you are an MSSP dealing with slow, human-led vulnerability reporting — this project developed automated processes for threat hunting and root cause eradication to speed up response times.
If you are a Cloud Infrastructure Provider dealing with risky security interdependencies between suppliers — this project developed a system to model security postures while keeping supplier assets private.
Based on available project data, specific pricing or cost details are not provided; however, the project is exploring new business and operational models required to run the platform.
Yes, the project validates the platform through 3 relevant Use Cases covering different Smart City service platforms to demonstrate adaptability and effectiveness.
Based on available project data, there is no specific mention of licensing terms, though it addresses confidentiality and privacy requirements for supplier assets.
The system uses a bidirectional control and monitoring data flow with real systems to capture the security posture of interconnected digital services.
The project runs from 2024-09-01 to 2027-08-31, meaning the full validated platform will be available toward the end of this period.
The consortium is heavily industry-driven with a 64% industry ratio, comprising 9 industrial partners including 4 SMEs. This strong commercial presence, combined with 4 research entities and 1 university across 7 countries, suggests the project is focused on practical market application rather than pure theory.
Contact the National Research Council (CNR) of Italy
Contact us to connect with the MIRANDA consortium for early adoption of the Cybersecurity Digital Twin.
