Fraud: Mind the data gap, the evolving face of fraud

Better vehicle data should make some fraud harder. An AV could create a detailed digital record capable of challenging a false account of a collision, while AI could help insurers identify suspicious patterns.

But complexity creates new opportunities too. They may exploit uncertainty over who or what was driving, software updates or manipulated electronic evidence.

Generative AI adds another challenge because images and video can no longer automatically be treated as objective records.

Data provenance, audit trails and chain of custody consequently become more important. Increasingly, the question will be not simply what does the evidence show, but where did it come from and can we trust it?

“AV data may give us more evidence, but it gives fraudsters more places to hide.”


Rob Fallows, Head of Intelligence, DAC Beachcroft CSG

+14%

The total value of detected fraudulent claims increased 14% to £1.34 billion in 2025. The average detected fraudulent claim reached £14,300.

(The ABI, 2026)

WATCH: Fraud and automated vehicles

Rob Fallows, Head of Intelligence, DACB's CSG, and Claire Newcombe, Partner, DACB's CSG, consider how established motor fraud could migrate into the AV environment and how technology could also help insurers identify suspicious patterns.

“I can't believe anything I see anymore… seeing is not believing anymore.”

Claire Newcombe, Partner, DAC Beachcroft CSG

Key Contributors

Rob Fallows

Head of Intelligence

DAC Beachcroft, CSG

Claire Newcombe

Partner

DAC Beachcroft, CSG

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Automated vehicles and fraud: New technologies, data gaps and new risks

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