Artificial intelligence and cybersecurity in the transport industry: challenges and solutions

the integration of artificial intelligence (AI) into the transport sector generates extensive information flows that serve as a foundation for innovative development and efficiency improvements in logistics processes. AI technologies enhance transportation safety, reduce environmental risks, and promote social equity, while simultaneously introducing new cybersecurity threats. Modern AI-driven attacks include adversarial examples, data poisoning, automated malware generation, and personalized phishing campaigns. These threats are characterized by high adaptability and detection complexity, posing significant risks to transport infrastructure. Additional challenges arise from the vulnerability of Internet of Things devices and the proliferation of deepfake technologies, which undermine trust in digital communications. Addressing these risks requires the development of multilayered defense mechanisms, the integration of cognitive monitoring technologies, and the adoption of adversarial training methods. Interagency collaboration, governmental support, and investments in cybersecurity workforce development play a crucial role in strengthening resilience. A comprehensive combination of technological and organizational measures will ensure the sustainable protection of transport systems against evolving cyber threats and preserve trust in digital infrastructure.

artificial intelligence, AI phishing, the introduction of artificial intelligence on transport, technology, cybersecurity, deepfakes, data poisoning, cyber threats