The Future of Mobility Report 2026

Executive summary

By Raul Liive, Director of Product, Marketplaces

Recommendation

Demonstrated
impact

Data & methodology

Verification friction is a conversion problem before it is a fraud problem.

Most platforms don't know how much supply they lose during onboarding, or what that loss actually costs them.

Compliance failures in last-mile logistics are not only legal events. They are operational cost events, measurable down to the individual delivery.

Every failed delivery means more redelivery attempts, customer service contacts, and reverse logistics costs, all of which hurt your first-attempt delivery rate.

The most dangerous fraud in mobility is not what happens before onboarding.

Bad actors increasingly deploy AI-generated deepfakes and synthetic identity packages built to defeat static document checks. These are not crude forgeries. They are engineered to clear automated and manual review at the moment of capture.

According to the Veriff Identity Fraud Report 2026, digitally presented media was 300% more likely to be AI-generated or otherwise altered than the previous year — a year-on-year increase that signals not just volume growth, but rapid acceleration in sophistication. A verification stack that looked adequate twelve months ago may already be exposed.

The identity verification market is undergoing a fundamental shift in what separates capable providers from the rest. As The Forrester Wave™: Identity Verification Solutions, Q3 2025 states: "As public records and physical identity document-based IDV methods are becoming commoditized, deepfake detections, behavioral biometrics, business identity verification (know your business [KYB]), case management, and — unsurprisingly — robust and configurable reporting are becoming differentiators in the IDV market."

For mobility platforms, the implication is direct. A verification stack that cannot distinguish a synthetic identity from a genuine one is not a neutral baseline. It is an active liability.

More pervasive, and often more damaging, is the lower-tech problem of account sharing, selling, and pooling. A driver who passes onboarding legitimately can transfer or rent access to an unvetted third party. That person then operates under a verified identity without ever having been verified, gaining access to customers, vehicles, and the platform's trust infrastructure.

The cost of a single pooled account is not a one-time event, but a recurring risk that persists until the account is caught. Each trip taken under a borrowed identity increases the platform's liability. This creates conditions for physical harm to customers, brand damage, and regulatory scrutiny that can threaten operating licenses in key markets.

These are not hypothetical edge cases. They are the predictable result of a verification model that stops watching once an account goes live.

For mobility platforms, the implication is direct. A verification stack that cannot distinguish a synthetic identity from a genuine one is not a neutral baseline. It is an active liability.

One-time onboarding checks were built to answer a single question at a single point in time: is this person who they claim to be, right now?

The gap between onboarding and ongoing risk is an architectural problem. It requires an architectural solution that can be integrated without a lot of engineering work.

Continuous trust infrastructure reduces onboarding friction by replacing manual document review with automated decisioning. Platforms using Veriff report materially faster verification times than legacy alternatives, with shorter paths to first completed job for newly activated drivers and couriers. Faster activation feeds directly into supply-demand balance and lowers cost per activation.

That performance is reflected in verified user feedback. In G2's Summer 2026 Identity Verification Grid® Report, 96% of Veriff users rated it easy to do business with, and 91% said they would recommend it — metrics that speak directly to the onboarding experience on both sides of the integration. For mobility platforms where supplier experience affects activation velocity, the friction introduced by the verification provider itself is a variable worth measuring.

Implementation complexity is the concern technical teams raise first. In practice, deployment runs on standard building blocks: RESTful APIs, comprehensive SDK support, and pre-built compliance logic that let engineering teams move from integration to production on a defined timeline rather than an open-ended program. This is an upgrade path, not a rebuild. It layers onto existing architecture rather than replacing it. Platforms already in production operate at single-digit-second decision times at scale, with no trade-off in verification accuracy or document coverage.

Configurability has also emerged as a critical capability in the broader market. The Forrester Wave™: Identity Verification Solutions, Q3 2025 notes that "it's no longer enough for the vendor to manage IDV solution policies — exposing IDV policies and their management (IDV workflow design, document library and data source configuration) to customer administrators also drives differentiation." This matters for mobility operators managing multiple markets, vehicle types, and regulatory contexts simultaneously. Configurable workflows remove the trade-off between compliance precision and operational speed, letting engineering and compliance teams adjust decisioning logic for each jurisdiction without a new integration.

Biometric re-verification running continuously across the account lifecycle removes the conditions that make account pooling and ghost driver fraud possible. AI-powered deepfake detection operates at the point of verification, blocking synthetic identities before they enter the platform. Cross-network intelligence surfaces coordinated fraud patterns across platforms and geographies, enabling proactive disruption of fraud rings rather than reactive incident response.

G2's Summer 2026 report rated Veriff's AI Document Check and Liveness Detection capabilities at 96% — the platform's highest-scoring features among verified users. Standards Compliance scored 95%. These are the capabilities most directly relevant to the deepfake and account pooling threat vectors described above, and the scores reflect how those capabilities perform in production deployments, not controlled benchmarks.

The Forrester Wave™: Identity Verification Solutions, Q3 2025 assessed Veriff's deepfake detection as highly configurable, noting that "spectral analysis, reused devices, and fake photos in ID documents are easy to detect. Veriff is on par for IDV based on public records, physical ID documents, and physical addresses; business identity verification; behavioral biometrics; and reporting and dashboarding.

Automated decisioning across more than 12,500 identity document types worldwide allows mobility platforms to expand into new markets without rebuilding compliance logic for each jurisdiction. Every new geography arrives with consistent, auditable verification coverage already in place.

Fragmented, high-friction verification creates compounding drag across the mobility operation:

Conclusion

The shift required is not an incremental improvement to existing verification flows. It is a change in the underlying model: from point-in-time verification at entry to continuous trust assessment across the account lifecycle. Platforms making this shift report stronger security and better operational performance.

Embedding continuous, intelligence-driven verification across the account lifecycle eliminates the onboarding friction that restricts supply, closes the gaps that account pooling and deepfake fraud exploit, and reduces the compliance overhead that erodes operating margins.

The fraud rate will not improve on its own. Operational costs tied to manual verification and failed deliveries will not shrink without structural change. But the infrastructure to address both already exists, integrates without extended timelines, and delivers a measurable return.

Next steps