Rebooking agents, predictive maintenance, biometric boarding and routing optimization all touch safety, passenger rights and personal data. Asenion turns transport safety, cybersecurity and privacy rules into operational controls your CISO, safety and operations teams can verify, monitor and evidence.
Schedule a Call30 minutes with our AI compliance team.
Few of these were written only for AI. All of them apply to it.
AI used in critical transport infrastructure and as safety components is high-risk, and disclosure for chatbots and synthetic content applies from August 2026.
For AI: Risk management, logging and human oversight for safety-relevant AI, and clear disclosure for customer-facing assistants.
EASA's guidance for machine learning in aviation, covering learning assurance, explainability and human-AI teaming.
For AI: ML in flight operations, maintenance and air traffic management needs learning assurance, a trustworthiness analysis and operational monitoring.
Vehicle cybersecurity and software update management systems required for type approval in UNECE markets.
For AI: AI components in vehicles, and over-the-air model updates, must be covered by your CSMS and SUMS.
Cybersecurity requirements for designated railroads, rail transit, airports and aircraft operators: implementation plans, segmentation, monitoring and incident reporting.
For AI: AI connected to operational technology must sit inside your approved cybersecurity implementation plan.
Covers passenger data, loyalty profiles and biometrics at check-in and boarding, with stricter rules for biometric data.
For AI: Biometric boarding, personalization and disruption handling need a lawful basis, a DPIA and retention controls.
The AI use cases we see most often, and the requirements that follow them.
Agents that rebook, refund or compensate must disclose AI, give accurate information on passenger rights and hand off to humans.
Models that schedule or defer maintenance affect airworthiness and safety. They need validation, human sign-off and complete records.
Face-based check-in and boarding need explicit consent, a non-biometric alternative, accuracy testing and strict retention.
Optimization and autonomy features in vehicles, trains and traffic systems need safety cases, cybersecurity and change control.
One set of controls, applied from design through runtime, with evidence your safety, security and privacy regulators can rely on.
Start from Policy Packs for the EU AI Act, EASA AI guidance, UN R155, TSA directives and GDPR, combined with your own safety and AI policies.
Verify agents and models for inaccurate passenger information, unsafe recommendations, data leakage and prompt injection, with every result mapped back to a control.
Apply context-aware controls to AI agents in production and capture tamper-resistant evidence of what happened, which controls applied and whether they worked.
In 30 minutes we'll map your AI use cases to the rules above, show the controls that apply, and point out gaps across operations and customer service.
Schedule a CallNo preparation needed.
