ALARM Aviation Cybersecurity Program Overview
Program Summary:
The ALARM aviation cybersecurity program, developed by UTS under NASA’s SBIR Phase II contract, delivers real-time vulnerability detection and automated risk mitigation for future aviation systems. Building on Phase I success, ALARM supports the National Airspace System (NAS) through continuous monitoring, AI-driven anomaly detection, and cyber threat intelligence tailored to aviation safety.
Start Date:
2023
End Date:
Current
Primary Client:
NASA (SBIR Phase II)
Supported Units:
Future Aviation Systems
Unmanned Aircraft Systems (UAS)
Advanced Air Mobility (AAM)
NAS cybersecurity programs
Locations:
Primarily remote/virtual development
Program Scope:
ALARM’s Phase II development is centered on creating a robust aviation cybersecurity prototype capable of supporting future aviation systems. The system integrates advanced APIs, real-time testing, and automated monitoring to ensure mission resilience within the National Airspace System (NAS).
Core technical efforts include:
Deep learning–based anomaly detection for identifying unusual system behaviors in aviation environments.
Multi-layer dependency analysis to strengthen risk assessment and vulnerability detection.
Automated threat mitigation powered by aviation-specific cyber threat intelligence.
Real-time incident reporting and evaluation to support continuous aviation safety assurance.
Prototype system integration and API development for compatibility with secure aerospace networks.
These capabilities work together to address vulnerabilities introduced by Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM). By combining cybersecurity research, AI-driven anomaly detection, and automated risk mitigation, ALARM aligns with NASA’s In-Time Aviation Safety Management System (IASMS) and provides a scalable framework for protecting future aviation operations.
Service Areas:
Cybersecurity
R&D
Data & Cloud Systems
System Architecture Design
Program Management
AI/ML
Prototyping
Proposal-Based R&D


















