AEGIS-AI extends counter-threat capability from the airspace down to the surfaces of mobility itself. It defines AI-driven protection layers for critical transport platforms (automotive, rail, maritime, and aviation), bringing detection, integrity verification, and protective response into one governed architecture.
Rather than bolting security on top of an already-shipped platform, AEGIS-AI treats protection as a native operating layer of the transport system, auditable, policy-driven, and continuous across the platform's lifecycle.
The invention organizes transport platform protection operations into coordinated functional layers, each independently claimable and licensable:
Continuous telemetry fusion across mobility surfaces and onboard systems for early anomaly acquisition.
AI-driven discrimination of operational anomalies vs. adversarial intrusion across heterogeneous platform contexts.
Auditable decision layer applying platform-specific rules of engagement and escalation policy.
Proportionate protective response, from isolation and integrity hardening to active mitigation.
A method for AI-driven protection of transport platforms across heterogeneous mobility surfaces.
A telemetry fusion architecture producing a unified platform integrity picture for autonomous classification.
A governed protection-response pipeline enforcing platform-specific rules of engagement.
Full claim set available to qualified licensing partners under NDA.
Counter-UAS is among the fastest-growing segments in national security and critical-infrastructure protection. IDJMS positions CIVITERA at the core decision-layer of this market, the governed pipeline that any compliant counter-UAS deployment must implement, making it a high-leverage licensing asset for defense primes, infrastructure operators, and sovereign agencies.
