The insurance industry has always had to evaluate evidence it cannot fully verify. Witness statements, repair estimates, medical records, and damage photographs are all susceptible to manipulation. Deepfake technology has pushed this problem to a new level: insurers now face AI-generated videos of accidents that never happened, synthetic witnesses who do not exist, and deepfake claimants impersonating policyholders.

The Evidence Problem

Traditional fraud investigation focuses on inconsistencies in the evidence presented. A repair estimate that is too high, a medical record that does not match treatment timelines, a witness account that contradicts the physics of the incident. Investigators are trained to spot these inconsistencies because human fraud typically generates them.

Deepfake fraud is different. A high-quality AI-generated video of an incident will not contain the inconsistencies a human fraudster produces. It will be internally consistent, timestamped, geotagged, and visually convincing. Without forensic AI analysis, it is indistinguishable from genuine footage.

The same is true of claimant identity. A synthetic claimant generated from a real stolen identity will match their ID document perfectly. They will pass standard video verification. They will answer security questions correctly because their identity data is real, even though the person presenting it is not.

Verification at the Claims Stage

The most effective countermeasure is identity verification that operates at every claims touchpoint, not just at policy inception:

• Claim submission — verify the identity of the person submitting the claim using biometric matching against the policy inception record
• High-value payout authorisation — require re-verification before releasing any payment above a defined threshold
• Third-party claimant verification — for liability claims, verify the identity of third-party claimants using deepfake-resistant liveness detection
• Witness statement verification — for significant claims, verify witness identity using government-issued ID verification

The Insurer's Duty of Care

Beyond fraud prevention, there is a growing regulatory expectation that insurers will take reasonable steps to verify claimant identity. In jurisdictions where AML regulations apply to insurance, this expectation is becoming codified.

Insurers who can demonstrate a robust verification programme — supported by deepfake detection technology — are in a significantly stronger position when regulators scrutinise their claims handling practices.

Getting Started

deepidv's verification platform is designed for the insurance claims lifecycle. Our no-code verification links can be sent directly to claimants via email or SMS, requiring no installation and no integration effort from your existing claims management system. View pricing or speak to our team about building a custom verification workflow for your book.