Credit application fraud is a . . .
By harnessing the power of AI, our solution can detect and analyze most types of forgeries independent of the language or country of issue, thereby providing a robust, globally applicable service.
Document liveness detection refers to the process of verifying the authenticity of physical documents or images submitted in digital format. Its primary goal is to ensure that the document presented is not a spoof or a replica but an original, physically present object. This technology plays a critical role in preventing identity fraud, ensuring compliance with regulations, and securing sensitive transactions.
We provides a comprehensive solution for KYC that incorporates Document Liveness Detection SDK.
Security Enhancement: By verifying document authenticity, liveness detection prevents fraudulent activities such as identity theft, document forgery, and account takeovers.
Compliance and Regulations: Various industries, including finance, healthcare, and government sectors, require stringent compliance with regulations regarding document verification. Liveness detection helps organizations meet these standards effectively.
Trust Building: For businesses and institutions, the ability to verify identities accurately builds trust among customers, partners, and stakeholders, facilitating smoother transactions and interactions.
Elevate your business’ security with MiniAiLive’s AI-powered Document liveness detection technology that provides protection against several spoofing methods.
Financial Services: Verifying identities for account openings, loan applications, and transactions to mitigate risks associated with financial fraud.
Healthcare: Ensuring the authenticity of medical records, prescriptions, and patient identities to protect sensitive health information.
Government and Public Services: Verifying identities for passport issuance, voter registration, and public benefit programs to prevent identity theft and fraud.
E-commerce and Retail: Authentication of customer identities for secure online transactions and preventing fraudulent activities such as false refund claims.
Biometric Verification: Utilizing biometric markers such as facial recognition or fingerprint scanning to confirm the presence of a live person interacting with the document.
Behavioral Analysis: Examining user interactions with the document or device to detect anomalies that may indicate fraud or manipulation.
Technological Solutions: Implementing advanced algorithms and AI-driven technologies to analyze document features, textures, and patterns for authenticity.
To detect the presentation of printed replicas, video screen replays, digital snapshots, and portrait substitutions
To detect attacks in real-time without adding friction to the user experience or tipping off fraudsters
MiniAiLive stop fraud that humans cannot detect and work across all types of identity documents from worldwide
Works independently of user experience and fully on-premises solution
Flexible integration into existing Know Your Customer (KYC) processes without modifying core functions
All platforms compatible
Credit application fraud is a . . .
Identity Orchestration is a crucial . . .
The Identity Revolution refers to . . .
Decentralized identity gives individuals control . . .
Document liveness detection is a technology used to verify that a presented identification document is authentic and currently in use, rather than being a static image or a replica. The primary goal of this technology is to prevent various types of spoofing attacks that involve fake or reproduced documents.
MiniAiLive works with all standard government-issued documents, like IDs, driver’s licenses, and passports from 200+ countries and territories.
The MiniAiLive SDK is designed to run on-premises or in a cloud environment controlled by your business.
Research shows that nearly 90% of frauds seen are from counterfeit physical documents. Document-centric identity verification using mobile devices is pretty much table stakes for today’s online businesses, and savvy fraudsters come prepared to onboard using realistic looking, but fake digital id documents. Enhancing document analysis early in the onboarding cycle by ensuring the document image submitted is of a real, live document can help to significantly mitigate risk.
In milliseconds, our document liveness detection authenticator analyzes hundreds of datapoints in the document image presented and looks for subtle nuances invisible to the human eye, such as color shifts, image patterns and textures. It then scores the authenticity of the document and transmits the liveness check score to the customer.
Learn More About Our Revolutionary Document liveness detection in Action
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