Think of SPARTEND as a cyber guard dog for satellites and ground stations. It constantly watches space-mission networks, uses a big playbook of known attack tricks, and automatically flags or responds to suspicious behavior before humans would normally notice.
Space systems are increasingly software-defined and networked, making satellites and their ground infrastructure vulnerable to cyber attacks. Manual monitoring and static rules cannot keep up with fast-evolving space-cyber threats. SPARTEND combines curated space-cyber threat knowledge with autonomous detection so operators can spot and respond to attacks in near real time, reducing mission disruption and data compromise.
Deep domain expertise in space mission architectures and space-specific cyber threat intelligence, plus integration into existing space-ops workflows, creates a domain moat that is hard for generic cybersecurity platforms to replicate.
Classical-ML (Scikit/XGBoost)
Vector Search
High (Custom Models/Infra)
Integration with highly heterogeneous space and ground systems, data classification constraints, and potential inference latency if LLM or ML-based correlation is used in-line with mission operations.
Early Adopters
Positioned specifically at the intersection of space mission operations and cyber defense, using space-tailored threat knowledge rather than generic IT or enterprise security baselines.