Cyber Auto Aviation
Strategic Framework – AI-Driven Cybersecurity for Automotive, Aviation & Rail by Neo Cortex Intelligence
Neo Cortex Intelligence secures autonomous and connected transport systems with next-generation embedded AI, protecting vehicles, aircraft, trains, and infrastructures against cyber threats and critical failures.
Introduction – The New Era of Autonomous & Intelligent Transport
Autonomous vehicles, connected aircraft, drones, smart trains, and modern mobility infrastructures rely on complex and interconnected embedded networks:
LIDAR, RADAR, GPS sensors
Onboard cameras
ADAS / autopilot systems
V2X communication modules
Embedded artificial intelligence
IoT maintenance platforms
This hyperconnectivity enhances performance… but significantly increases cyber, system, and operational risks.
Neo Cortex Intelligence secures and optimizes all of these environments with next-generation AI dedicated to transportation.
Our Areas of Intervention
Connected Automotive & Autonomous Vehicles
AI-secured ADAS & autonomous driving
Protection against electronic hacking (CAN bus, ECU)
Behavioral analysis of drivers
V2X (vehicle-to-everything) security
AI-powered predictive maintenance
Aviation & Aerospace
Cyber monitoring of avionics systems
AI security for air-ground communications
Detection of anomalies in engines and sensors
Automated control of ground operations
AI monitoring of fleets and drones
Rail & Guided Transport
AI for signaling & automation control
Smart surveillance of railway infrastructure
Detection of abnormal behaviors in stations
Predictive maintenance of tracks & locomotives
Protection of train-ground communications
Methodological Approach – End-to-End Security & Cyber Protection
Step 1 – Full Audit of Embedded Systems & Communications
Analysis of internal networks (CAN, ARINC, MVB, embedded Ethernet)
Analysis of V2X / air-ground / train-ground communications
Identification of critical vulnerabilities
Step 2 – Data Collection and Exploitation
Vehicle, aircraft, train telemetry
ECU logs, sensors, black boxes, ADAS modules
IoT infrastructure data
Onboard video
Centralized + regulatory anonymization
Step 3 – Advanced AI Modeling
Development of models specifically trained for:
Cyber intrusion detection (embedded IDS/IPS)
Behavioral AI (vehicles/pilots/drivers)
Predictive AI (failures, anomalies, wear, drifts)
Video & LIDAR analysis via deep learning
Embedded models (edge AI) for real-time local processing
Step 4 – Autonomous Defense System
Automatic isolation of compromised modules
AI-controlled communications
Blocking unauthorized access
Immediate reactions without cloud dependency
Prioritized alerts based on criticality (ASIL, DO-326A, EN 50126…)
Step 5 – Supervision Platform
A 360° interface:
Real-time fleet tracking
Cyber surveillance of infrastructures
Proactive maintenance
Behavioral analysis of operators
Thermal maps of risks
Step 6 – Continuous Optimization & Compliance
Compliance with standards:
ISO/SAE 21434 (automotive cybersecurity)
DO-326A (aviation cybersecurity)
EN 50126/50128/50129 (railway)
Recurring penetration tests
Automatic updates of AI models
Monthly/quarterly reports
Solutions Provided by Neo Cortex Intelligence
Embedded Cybersecurity (ECU, avionics, railway automation)
AI-driven detection of attacks on embedded networks.
Behavioral AI & Decision Analysis
Surveillance of driving, piloting, or automation anomalies.
Predictive Maintenance (AI + telemetry)
Detection of failures in engines, batteries, signaling, braking, turbines.
V2X / A2G / T2I Security
Robust, encrypted, resilient communications.
Computer Vision & Sensor Analysis
Obstacle detection / trajectory deviations.
Analysis of station and airport flows.
AI verification of railway infrastructures.
upervision Platform & Autonomous Response (SOAR for Transport)
Intelligent incident coordination and automatic bypass.
Use Cases – Real-World Applications
Automotive
Protection against remote control takeover
Detection of battery wear in electric vehicles
Embedded anti-collision AI
Radar and LIDAR data analysis
Intelligent fleet tracking for transport companies
Aviation
In-flight engine analysis
Detection of GPS signal tampering
AI vision for runways and sensitive areas
Optimization of maintenance cycles
Railway
Automated surveillance of tunnels and tracks
Detection of objects or anomalies on rails
AI-driven operation of autonomous trains
Prevention of signaling failures
Technologies Used
Deep learning & embedded AI
Computer vision
Real-time edge computing analysis
Advanced cybersecurity for embedded systems
LIDAR/RADAR processing
Digital twins
Neural networks for prediction & anomaly detection
Deliverables Provided
Full audit & technical mapping
Specialized AI models (automotive/aerospace/rail)
Embedded detection & response system
Intelligent dashboards
Security policy in compliance with standards
Final report + continuous improvement plan
