As adversaries develop new methods of attack, we invent new ways to protect. Here are some concepts we鈥檙e taking to cyber鈥檚 leading edge.
Space Cyber Test Range
Our PNT teams are working to create a simulated ecosystem depicting space assets in orbit. A digital twin can then be linked to a that system鈥檚 physical ground station and operations center or digital representations of those elements. This will accelerate threat detection and mitigation across the system lifecycle.
AI at the Edge
Advances in analytics and cloud capabilities enable AI to play an increasing role.
- AI can be applied at multiple points鈥攖o add insights during data ingestion, analysis, and dissemination.
- Applied at the edge, close to the device, AI enables immediate insights.
For example, 鈥淕round stations can be upgraded to act as a smart sensor, ingesting and analyzing data as it streams in rather than sending low-level metrics to a data lake,鈥 Steve says.听
Smart systems will advance the mission as well as protect it. 鈥淲ith听AI at the point of the sensor, you can know you鈥檙e getting a valid signal. That would allow decisions to be made at the speed of the data鈥攁 major goal for JADC2,鈥 he points out.
Integrating Systems Engineering, Cyber, and MBSE
鈥淭raditional systems engineers envision separate tracks for systems engineering, MBSE, and听cybersecurity. We integrate it all,鈥 Steve says.
鈥淐lients get an 鈥榓ha!鈥 moment when we point out that the same documents can be used for all three tracks.鈥 Conducting the activities concurrently delivers advantages such as:
- The digital model can be tested along with the built system.
- Threat analysis can be run earlier.
- Fewer documents are required.
- Development timelines are shortened.
鈥淐reating a parallel path for systems integration, cyber, and MBSE truly gives the client a build that鈥檚 faster, cheaper, and better,鈥 Steve says.