ADVANCE.AI is proud to announce that we have been named in the honourable mention section in the 2024 Gartner Magic Quadrant for Identity Verification, published in October 2024. We believe that this honourable mention underscores our commitment to providing trusted identity verification ("IDV") solutions globally, helping clients achieve seamless, secure, and compliant onboarding and identity management.
“Gartner Magic Quadrant research methodology provides a graphical competitive positioning of four types of technology providers in fast-growing markets: Leaders, Visionaries, Niche Players and Challengers. As companion research, Gartner Critical Capabilities notes provide deeper insight into the capability and suitability of providers’ IT products and services based on specific or customized use cases.”*
*For more information, please refer to Gartner website.
“Gartner defines identity verification (IDV) as the combination of activities during a digital interaction that brings a real-world identity claim within organizational risk tolerances.”
ADVANCE.AI’s solutions are designed to support various verification needs:
Onboarding and compliance: Our end to end identity verification solutions simplify the complex onboarding process, ensuring regulatory compliance in markets where digital "Know Your Customer" (or eKYC) obligations are mandatory.
Fraud detection: The solution’s layered approach incorporates contextual fraud signals—such as location intelligence, device profiling, and behavioural analytics—to deliver an enhanced level of security, reducing fraudulent attempts and improving user trust.
Flexible integration: Our solutions are highly adaptable, allowing businesses to integrate the solutions seamlessly into existing workflows for improved operational efficiency and user experience.
At the core of our solution lies a comprehensive suite of document check and biometric check capabilities, including:
Document check
Image Quality Assessment (IQA): Our solutions will guide the user to upload high-quality images and detect the image quality of a photo shoot in real-time, to ensure the effectiveness and accuracy of document recognition ability.
Optical Character Recognition (OCR): Our ID document OCR extracts details such as name, gender, age and issue date and verify them accordingly.
ID Forgery: ID Forgery Detection is a server-side API that can detect the fake card, such as, retake, black and white photocopy, edited face etc, ensure the authenticity of identity documents, safeguard business security and reduce manual audit costs.
Biometric Check
Liveness Detection: Our biometric liveness detection checks the physical presence of users by real-time corrections of videos, photos and distance, and identification of natural face movements. Additionally, it prevents impersonation, including displayed videos and photos, 3D masks, paper masks, and inkjets.
Face & ID comparison: Facial Image collected during Liveness Detection is compared with the one from governmental ID card to check whether the user is both a living person and the same person.
Database Face Search: ADVANCE Face Search searches the face database for similar faces and returns the similarities given a face photo. It helps detect identity fraud risks via facial information in real time, as a compensation to the absence of a national ID standard. Through highly accurate face recognition technology, it effectively identifies ID fraud risks in transactions and helps avoid further fraud actions.
As the digital landscape continues to evolve, identity verification is undergoing a transformative phase, moving towards more advanced and mature solutions. Speak to our experts today to understand how advance digital identity verification solutions can help your business mitigate risks, and grow in a scalable and secure manner.
Reference
Gartner, Magic Quadrant for Identity Verification, By Akif Khan, James Hoover, Nayara Sangiorgio, Published 21 October 2024.
*Gartner Research Methodologies, Gartner Magic Quadrant & Critical Capabilities, 20 November 2024
https://www.gartner.com/en/research/magic-quadrant
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