Veriff & Data Zoo partner to combat AI identity fraud

Veriff has partnered with Data Zoo in a deal that adds an authoritative data layer to Veriff's identity verification service for organisations operating in regulated digital markets.

The tie-up connects Data Zoo's global data network with Veriff's identity verification platform, giving customers another signal for identity checks alongside document and biometric verification.

The announcement comes as organisations report a rise in AI-driven identity fraud. Digital businesses across financial services, online marketplaces, mobility, gaming and other sectors are dealing with synthetic identities, manipulated documents and deepfake impersonation attempts.

These attacks are putting more pressure on risk and compliance teams, which must strengthen controls while keeping onboarding and login flows usable for genuine customers. Many regulated firms also face increased scrutiny of Know Your Customer and anti-money laundering processes, and must show checks are robust and privacy-conscious across jurisdictions.

Layered checks

One response across the sector has been a shift towards layered verification, combining automated risk analysis with checks on documents, biometrics and external data sources. Identity and fraud vendors have pitched multi-signal verification as a way to reduce reliance on any single method, particularly as attackers learn to bypass individual controls.

Under the partnership, Veriff has integrated Data Zoo's authoritative data network into its platform through a single API. The integration is live and available globally to Veriff customers.

The additional data layer sits alongside Veriff's document and biometric checks. Document verification assesses whether credentials appear authentic. Biometric verification checks the user's presence during the session. Authoritative data provides an independent reference for identity attributes by checking information against trusted sources.

Veriff says the data signal is designed to strengthen decision-making in higher-risk scenarios. It can also improve match rates and reduce false positives, where legitimate users are incorrectly flagged-important for businesses balancing fraud prevention with conversion rates.

Compliance focus

Cross-border digital services add complexity for compliance teams. Requirements vary by market and can change quickly. Identity providers have increasingly positioned their services as adaptable across regulatory environments, especially where firms must verify customers at scale and maintain clear audit trails.

The partnership centres on authoritative data as an independent signal. It can be used alongside automated risk analysis and biometric authentication in orchestration workflows, which route users through different checks based on risk.

Data Zoo provides access to authoritative data across more than 40 countries, connecting organisations to independent data sources through a single interface to support consistent identity checks across markets.

Data Zoo says privacy and regulatory compliance are built into the data network. The approach aligns with broader industry moves towards privacy-by-design as identity firms handle sensitive personal information under different data protection regimes.

Gabriel Barbabela, Lead Growth Product Manager at Veriff, framed the deal as a response to fast-moving fraud techniques.

"Fraud is moving faster and becoming more adaptive, which means identity verification must do the same. By integrating authoritative data from Data Zoo, we're strengthening our trust infrastructure to help businesses verify more honest users, stay compliant, and deliver low-friction experiences at a global scale."

Jon Jones, Chief Commercial Officer at Data Zoo, said the collaboration reflects a broader push to use trusted data in digital identity systems.

"Every organisation is trying to balance trust, compliance, and customer experience as fraud becomes more sophisticated. Our partnership with Veriff advances digital trust by embedding authoritative data into the platform, delivering real-time insights that increase customer assurance and help customers stay ahead of evolving identity fraud."

Demand for identity verification services has grown as more consumer and business activity shifts online. That growth has also increased incentives for criminals, who can target onboarding processes and account access points at scale. AI-based tools have added new methods for impersonation, as well as faster iteration for synthetic identity creation.

For identity providers, these dynamics have increased the emphasis on flexible architectures that can add new signals and adjust workflows without major changes for customers. Veriff is positioning the integration with Data Zoo as a way to add data checks within existing verification journeys while keeping processes consistent across markets.

The companies expect demand for resilient identity verification infrastructure to keep rising as AI-generated fraud advances and regulatory expectations remain high.