Space has become a critical warfighting domain, requiring an approach to training that prepares warfighters to use new technology. AI is redefining space warfare training, and is becoming vital for deterrence and national security.
Slingshot Aerospace is a U.S.-based space data and analytics company focused on making space operations more safe, sustainable, and secure through satellite tracking, space traffic coordination, and high‑fidelity modeling and simulation tools.
What does this signal for the future of AI-enabled military training? On this edition of The Journal of Space Commerce, Tom Patton talks with Dr. Belinda Marchand, Chief Scientist at Slingshot Aerospace, leading astrodynamics and data science teams that build foundational capabilities for its products.
She says that while the system was developed for defense use, the simulations are adaptable to other scenarios.
“I think the defense use case was a very valuable and timely example of a way to demonstrate the capabilities of the technology. But the technology itself that powers things like Talos, or even that powers our anomaly detection software like Agatheft or anomalous actor detection, all those technologies can be used for other purposes as well, right? You can use them to... fly your fleet to control your fleet, to achieve your on-orbit servicing objectives, anything that involves rendezvous proximity operations. You could adapt” Marchand said. “If you’re doing RPOs for intercepting something, that’s not that dissimilar from the type of activity you would do to go service something or refuel something, right? Or to do in-orbit manufacturing and things like that. So the actions have elements in common and the framework itself is agnostic to those actions.”
Slingshot recently achieved Cybersecurity Maturity Model Certification (CMMC) Level 2, validating its ability to protect Controlled Unclassified Information (CUI) in support of Department of Defense (DoD) missions.
