The War on Car Theft: Can AI Help?

Written by Geraldine Herbert

8 mins read

Over the past decade, as vehicle security systems have grown more sophisticated, criminals have kept pace, exploiting digital vulnerabilities, driver complacency, and gaps in law enforcement. But could advances in artificial intelligence (AI), machine learning, biometrics, blockchain, and connected vehicle tech usher in a new era of anti-theft innovation that finally outsmarts the thieves?

A Persistent and Evolving Crisis

More than 8,000 cars were reported stolen in Ireland in 2024, a 4% rise on the previous year and the highest figure since 2012 according to CSO data. As expected, Dublin leads in thefts, followed by Cork, Limerick, and increasingly, Waterford.

Car thieves typically fall into two groups: opportunists exploiting unlocked vehicles or easily accessible keys, and organised gangs targeting high-end models to order. A recent survey by insurance specialists Gallagher revealed that 31% of Irish drivers admit they don’t always lock their cars, leaving them vulnerable to theft.

Innovation at the Forefront: 720,000 Patents and Counting

According to Just Auto, more than 720,000 automotive patents have been filed globally over the past three years, with smart vehicle anti-theft technologies representing a significant and growing area of innovation within this total. A host of carmakers, tech firms, and startups are racing to develop sophisticated systems that combine a range of technologies — from GPS tracking to Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication.

The speed and scale of this patent boom reflect not only the automotive industry’s urgent need to protect vehicles against the growing sophistication of theft techniques, but also its increasing reliance on data-driven security solutions.

Law Enforcement and Cross-Border Cooperation

Europe-wide, law enforcement agencies are increasingly collaborating across borders using shared databases and real-time data exchange to track and recover stolen vehicles more efficiently. Car theft is a pervasive issue in Europe, with many thieves exploiting international export opportunities and legal loopholes to launder stolen cars

AI-Powered Intrusion Detection, Predictive Defence, Biometrics and Continuous Driver Verification

Recent industry surveys, such as those by McKinsey and S&P Global Mobility, highlight that over 70% of carmakers are now integrating AI-driven security systems capable of real-time threat detection and response. These systems can be updated over the air, allowing vehicles to be remotely “patched” to fix vulnerabilities, much like how smartphones receive security updates. Research from ABI Research also shows that predictive AI analytics are being adopted to identify crime hotspots and can in some cases, prevent vehicle theft before it occurs.

Biometric security is also being developed as a means to reduce car theft. Continental is working on biometric vehicle access systems, which are expected to appear in production vehicles within the next 3–5 years. In the future, it is likely that these systems could provide continuous monitoring of the driver to ensure they match the profile of the vehicle’s owner. Technologies such as voice recognition for example, or driving patterns and even grip pressure on the steering wheel, are being explored as potential methods to determine whether the person behind the wheel is the person who is authorised to drive that car.

Another solution is the use of immobilisers that require the driver to enter a unique PIN via the steering wheel or dashboard controls, making it virtually impossible to hotwire or clone the key. Some systems pair this feature with real-time GPS tracking and remote immobilisation, allowing stolen vehicles to be located and disabled before they’re dismantled or exported. AI can also significantly improve video surveillance using smart analytics to filter out false positives, such as animals or passers-by, and instead focus on real threats.

Blockchain and Tamper-Proof Vehicle Records

Blockchain technology is being tested to secure ownership and service histories, making it harder to forge vehicle identities or launder stolen cars. As a tamper-proof record book, blockchain could dramatically reduce fraud in the vehicle market, though more research and real-world testing are still needed.

The Connected Ecosystem: V2V and V2I Collaboration

Smart vehicles are increasingly collaborative. Through V2V (Vehicle-to-Vehicle) and V2I (Vehicle-to-Infrastructure), they can alert nearby infrastructure and Gardaí to theft attempts or suspicious activity. EU projects like the C-Roads Platform are exploring this real-time data-sharing, which could evolve into a connected “neighbourhood watch” for vehicles.

But with connectivity comes risk. Cybersecurity threats such as ransomware or remote hacking pose new dangers not just to data, but to the physical safety of vehicles themselves. Regular software updates and strict oversight will be crucial to keeping connected cars secure.

Amateurs hack computers; professionals hack people.

No matter how smart the tech, humans are still the weakest link. Studies in Ireland and the UK show nearly half of all thefts involve unlocked cars or keys left inside, so even the best tech is undermined by basic carelessness. Police and insurers continue to urge simple steps: lock your car, store keys out of sight (preferably in a Faraday pouch to block the wireless signals that keyless entry systems rely on) and consider visible deterrents or aftermarket trackers.

The increase in technology also raises privacy concerns. With vehicles now collecting biometric and location data, questions around ownership, consent, and misuse are mounting. EU regulations like GDPR, along with recent Irish data privacy cases, highlight the need for clear, enforceable standards. At the same time, the cost of advanced systems can put them out of reach for many drivers, creating a digital divide in protection.

Conclusion: The Road Ahead

Car theft doesn’t just impact owners, it inflates insurance premiums and fuels broader criminal activity. While technology is raising the bar, the arms race between carmakers and criminals continues. With the help of AI, biometric systems, blockchain, and real-time surveillance, vehicle security is now predictive, proactive, and increasingly difficult to breach. But no system is fool proof, and both industry and law enforcement must continually adapt to stay ahead of evolving threats.

Geraldine Herbert is a columnist and motoring editor at the Sunday Independent and Ireland's first female motoring editor of a national newspaper. Geraldine will be bringing some insightful and thought-provoking content to NiftiBusiness throughout the year.

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