Use case type

Identity verification

AI used to confirm a person's identity by analyzing documents, images, biometrics, or behavioral signals. It helps reduce fraud and supports secure onboarding and authentication.

Use cases

6

Examples

6

Industries

4

Timeline

5 mo

Data updated 1 day ago

Adoption over time

Documented cases per month

By case publish month · completed months only

6 cases documented across 19 months (Jan 25 – Jul 26), peaking at 2 in July 2026.

Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.

Company examples

Use cases of this type

6 shown from 6 use cases

AlibabaJul 31, 2026

PAYLATER Malaysia: eKYC and BNPL platform infrastructure on ECS, OSS, ApsaraDB RDS, WAF, and ZOLOZ Real ID

PAYLATER Malaysia was established in November 2020 by KALE (TECHNOLOGY) SDN BHD. It is Malaysia's leading buy now pay later (BNPL) solution and has more than 3,000 stores nationwide and 1,200 brands.The company migrated and built its BNPL exchange and network infrastructure on Alibaba Cloud to handle high transaction volume while maintaining high availability, security, and fast customer account verification for onboarding at scale.

PAYLATER MalaysiaFinance
AlibabaJul 24, 2026

WeLab Bank: AI-powered eKYC identity verification with ZOLOZ Real ID

WeLab Bank in Hong Kong partnered with Alibaba Cloud to improve identity verification and data extraction during digital onboarding.The bank used ZOLOZ Real ID for AI-driven eKYC, extended mobile verification for mainland Chinese visitors, and used Alibaba Cloud connectivity and landing zone services to support secure cross-border development and compliance.

WeLab BankFinance
GCPJun 3, 2026

Bank Rakyat Indonesia (Bank BRI) uses Apigee and Cloud Vision API for digital microfinance and loan approval automation

Bank Rakyat Indonesia (Bank BRI) uses Apigee API Platform, Google Cloud Vision API, and Google Maps Platform to modernize digital banking and microfinance lending.Apigee acts as the API backbone for microservices and partner interactions, enabling monetized APIs and self-service partner onboarding.The Pinang microfinance app supports instant identity verification, credit scoring, and rapid loan disbursement for branchless agents and customers.

Bank Rakyat IndonesiaFinance
GCPMay 22, 2026

Verihubs case study: AI authentication and deepfake detection with Gemini, Vertex AI, and GKE

Verihubs is an Indonesia-based SaaS provider of digital verification and identity authentication services.The company migrated to Google Cloud to support growing KYC demand, improve performance and cost efficiency, and prepare future AI-enabled workflows.It also built an in-house deepfake detection capability to help identify AI-generated fraud attempts in images and videos.

VerihubsTech & Comms
Jul 2, 2025

United States Customs and Border Protection (CBP) uses cloud generative AI and machine learning for border screening

United States Customs and Border Protection (CBP) is using cloud computing, generative AI and machine learning to secure US borders and address complex challenges.CBP has migrated much of its application and database tiers to the cloud and uses cloud-based biometrics, image analysis, anomaly detection, and generative AI augmented computer vision for border screening and situational awareness.

United States Customs and Border ProtectionPublic Sector
MicrosoftJan 3, 2025

EY streamlines credential verification and onboarding in HR and healthcare

EY developed and implemented a solution using Microsoft Entra Verified ID and identity orchestration to address challenges in employment and supplier credential validation, initially in partnership with LinkedIn. This solution automates the verification of employment and credentials, significantly reducing manual processes, costs, and onboarding delays. Following a successful pilot, EY expanded the solution to other industries, notably healthcare, facilitating faster and more reliable medical credentialing as well as improved patient and provider experiences. The financial sector also benefited with more secure and efficient identity proofing for transactions. The result is a scalable platform that supports the unique verification needs of multiple industries and expedites onboarding while enhancing trust and operational efficiency.

LinkedInProfessional Services

Common questions

Identity verification at a glance

How many identity verification use cases are documented?
The AI Use Case Hub documents 6 real identity verification deployments across 4 industries, with 6 detailed company examples you can browse.
Which industries adopt identity verification the most?
Identity verification is most common in Finance (50%), Professional Services (17%) and Tech & Comms (17%).
Which countries lead in identity verification?
United States leads documented identity verification deployments, followed by Indonesia and Hong Kong.
What technologies are used for identity verification?
Teams most often build identity verification with ZOLOZ Real ID, Cloud Enterprise Network (CEN) and Azure AI.
What AI capabilities power identity verification?
Across the documented deployments, the most common capability patterns are Vision (33%).
What results do companies report from identity verification?
Across the 6 deployments reporting outcomes, companies most often cite scale & capacity (83%), customer experience & trust (67%) and risk & compliance (50%). Where impact is quantified, the strongest evidence is in cost savings: a median +20% across 1 reported metric.