Trusted autonomy for contested environments.
AegiX builds the assurance layer for uncrewed and autonomous systems: methods and software that keep AI decisions, communication links and flight control dependable when adversaries jam, spoof or deceive them.
Autonomy is only an advantage if operators can trust it.
In contested environments GPS is spoofed, links are jammed, sensors are deceived, and AI models meet conditions they never saw in training. Most autonomy programs test for performance. Far fewer can show that a system stays safe and effective under attack.
AegiX closes that gap. We bring rigorous security, verification and machine learning research to the whole autonomy stack, from the model to the airframe to the link.
Core capabilities
See all capabilities →Assured Autonomy
Resilient planning, control and runtime assurance for autonomous and multi-agent systems operating under attack or degradation.
02Trustworthy AI at the Edge
Adversarial robustness, confidence-aware decisions and AI test and evaluation for models running on small, power-limited platforms.
03Resilient Communications
Security assurance for 5G and tactical wireless networks, with anomaly detection and formal policy guarantees in contested spectrum.
04UAS Assurance
Security of open-source flight stacks, verified protocols and onboard monitoring that detects spoofing, faults and damage in flight.
End-to-End Verified Trustworthy Autonomous Systems
1. Analyze the threat
Adversarial analysis of how the system can be attacked, spoofed or degraded in the field.
2. Verify
Formal and statistical verification of the logic, models and protocols that matter most.
3. Monitor at runtime
Lightweight onboard monitors that detect unsafe behavior and report it with a confidence level.
4. Prove it on hardware
Simulation, wireless testbed and flight validation on our own UAS platform.
The expertise behind the work
Our founders lead federally funded research programs in autonomy security, trustworthy AI and wireless systems. That research is the foundation of everything AegiX builds.
Formal verification & runtime assurance
Provable guarantees for decision logic, protocols and controllers, backed by monitors that watch the system while it runs.
Adversarial machine learning
Attacks on and defenses for AI models, robustness evaluation, and confidence calibration under distribution shift.
Reinforcement learning & multi-agent autonomy
Learning-based planning and control that stays resilient when agents, sensors or links are compromised.
Wireless & 5G/NextG security
AI-driven anomaly detection, policy assurance for programmable networks, and resilience in contested spectrum.
Cyber-physical resilience
Detection, diagnosis and recovery for systems where software faults and attacks have physical consequences.
Energy-aware edge AI
Machine learning designed around the power and compute limits of drones and other battery-powered platforms.
Quantum computing security
Security and verification of quantum and hybrid quantum-classical systems as they move toward practical use.
UAS software security
Vulnerability analysis of open-source autopilots and flight protocols, and monitoring for spoofing and faults in flight.