According to a GlobalData investigation, some of the largest AI in Automotive Market companies in the world are planning cybersecurity initiatives that will use blockchain, 5G, and artificial intelligence to reduce security risks and safeguard vehicles that are becoming increasingly digitally connected. GlobalData's patent filings show increased investment in photonic quantum communications, blind signatures, chaotic signals, quantum cryptography, and vehicle anti-theft systems. Numerous additional projects are also in the works.
Source: GlobalData Companies are recognizing and responding to the need for increased investments in cybersecurity, which has led to this level of research and development. The most recent data demonstrates upcoming growth in new technology enablers that will accelerate the trend in cybersecurity investment.
Source: In the field of vehicle anti-theft innovation and patents, GlobalData cites the following: Ford: developing a system to prevent theft that compares GPS coordinates to those of known devices. When the coordinates of the device are within a predetermined distance of the vehicle, they connect. Unauthorized drivers cannot access this because they lack the necessary mobile device. Valeo: constructing low-energy beacon-based vehicle and user authentication to stop thefts. Veridium: has applied for a number of automotive biometrics patents. Veridium's innovations in this area include using user preferences and behavior to authenticate drivers using the vehicle's built-in system. IBM: patented a cloud-based cognitive radio frequency intrusion detection audit and reporting system that prevents unauthorised intrusions by utilizing cognitive deep learning systems Volkswagen: developed a mobile-capable intelligent electronic key that authenticates vehicle access from a central server via a mobile radio network to prevent unauthorised entry Cellport: developed patent portfolios in the areas of vehicle connectivity and, more recently, vehicle cyber-attack protection and blockchain-based fleet management systems. The uncovered data also enables a quantitative evaluation of the subsets of cybersecurity innovation work in progress. Some terms are becoming more commonplace as the cybersecurity industry's terminology continues to evolve:

Cryptographic Hash Functions, or CHFs, have emerged as a result of the rise in blockchain and distributed computing technologies. CHF algorithms provide enhanced security against attacks in both public and private blockchains in addition to facilitating efficient data storage. Quantum cryptography (QC) is a cybersecurity innovation based on the application of quantum physics to public key distribution algorithms. It is a radical innovation with widespread impact. Because the data is encoded in quantum states, QC algorithms are highly effective against cybersecurity threats.

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Vehicle anti-theft systems are making rapid progress toward a day when cars are completely autonomous. All connected cars must comply with recent UN regulations regarding cybersecurity in order for stakeholders in the industry to actively develop solutions to potential threats posed by cybercriminals, hacktivists, terrorists, and nation states.
In addition, the GlobalData findings identify the leaders in each emerging technology innovation field and the impact they will have, whether "Radical," "Incremental," or some combination of the two. Notably, this area has also seen innovation from other players in the automobile value chain than car manufacturers.