A paper dropped this month tracing powerful GNSS interference events across Europe, Greenland, and Canada back to Russian early warning satellites in Molniya orbits.
Researchers pulled it off with years of received-power data from ground reference stations plus timing analysis.
GNSS is foundational infrastructure. When the disruption originates from orbit, the raw measurements and how they were collected suddenly matter for attribution.
Centralized logs invite disputes. Altered or incomplete chains weaken the case.
@Conste11ation already operates in this exact problem space. Through Iron Spider (ISPIDR), they built and demonstrated secure GPS orchestration for USTRANSCOM and the Civil Reserve Air Fleet (CRAF), specifically addressing spoofing, jamming, and corruption of positioning data for military and commercial aircraft.
The system notarizes every contract event on-chain, transfers 2TB of data every 60 seconds, and was validated by the Air Force Research Laboratory as "Secure, Scalable, and DoD Approved." That program has run for 6 years with 25 milestones delivered.
The Digital Evidence metagraph underneath handles the same pattern at the data layer. Fingerprint sensor or workflow data at the edge, sign it, write the immutable record, return an ordinal you can independently verify later.
Already scoped for fleet telemetry in litigation and telecom expense workflows.
M42's Transformational AI platform can drive the pattern recognition and characterization across massive datasets like these.
Verifiable provenance on the inputs and outputs keeps the analysis defensible. Same logic behind proposed training-data registries.
Ai² puts the combination into a regulated, Nasdaq-listed structure that can deploy and scale it, whether for national lottery infrastructure or hardened critical systems.
The paper describes a growing threat. Constellation already built and proved the infrastructure to address it with the United States government.
$AIAI $DAG