1. Jumio
- Approach:
- AI-Powered Identity Verification: Uses computer vision, machine learning, and artificial intelligence to verify government-issued IDs, passports, and driver’s licenses.
- Biometric Verification: Employs facial recognition technology to match a user’s face with their ID photo.
- Liveness Detection: Ensures that the person verifying their identity is present in real-time and not using a spoofed image.
- Cross-Device Support: Supports identity verification across multiple devices including mobile phones and desktops.
2. Onfido
- Approach:
- Document Verification: Uses AI to check the authenticity of ID documents by analyzing patterns, fonts, and security features.
- Facial Biometrics: Compares a selfie taken by the user with the photo on their ID document using AI-driven facial recognition.
- Liveness Detection: Uses AI to detect whether the selfie is being taken by a live person to prevent spoofing attacks.
- Continuous Monitoring: Provides ongoing identity verification to ensure that the identity remains secure over time.
3. ID.me
- Approach:
- Multi-Factor Authentication (MFA): Combines AI-driven document verification with additional layers of verification, such as SMS-based OTP and knowledge-based authentication (KBA).
- Biometric Verification: Uses AI for facial recognition to verify the user against their submitted ID.
- Real-Time Verification: Provides real-time identity verification for users interacting with helpdesk services.
- Self-Service Identity Proofing: Allows users to verify their identity using AI-driven tools without human intervention.
4. Trulioo
- Approach:
- Global Identity Verification: Uses AI to verify identities across different regions by checking ID documents against global databases.
- Biometric Matching: Employs AI-powered facial recognition to match user-provided selfies with ID photos.
- AML Compliance: Uses AI to ensure identity verification processes are compliant with Anti-Money Laundering (AML) regulations.
- Dynamic Verification: Adapts to different levels of verification based on the risk level of the transaction or interaction.
5. Cognitec
- Approach:
- FaceVACS Technology: Utilizes AI for real-time face detection and matching against stored records.
- Video Surveillance Integration: Enhances helpdesk security by integrating AI-based facial recognition with video surveillance systems.
- Liveness Detection: Employs AI to differentiate between a live person and a static image during the verification process.
- Identity Database Matching: Matches facial data against large-scale identity databases to verify identities.
6. Auth0 Identity Verification
- Approach:
- AI-Powered Verification: Uses machine learning algorithms to verify the authenticity of user-submitted documents.
- Biometric Comparison: AI compares the user’s selfie to the photo on their ID document.
- Risk-Based Authentication: Dynamically adjusts the level of identity verification required based on the risk level of the user interaction.
- Identity Orchestration: Integrates multiple identity verification methods into a seamless process using AI.
7. Socure
- Approach:
- Document Verification: Uses AI to analyze and verify government-issued ID documents.
- Facial Biometrics: AI-driven facial recognition to match selfies with ID photos.
- Predictive Analytics: Uses AI to predict the likelihood of fraud based on identity verification data.
- Real-Time Identity Resolution: Provides instant identity verification results using AI to resolve identity across multiple databases.
8. Veriff
- Approach:
- AI-Driven Document Analysis: Uses AI to verify the authenticity of user-provided documents by analyzing security features, fonts, and patterns.
- Facial Recognition: AI-powered facial recognition technology ensures that the person presenting the ID is the rightful owner.
- Real-Time Video Verification: Verifies user identity via live video, with AI assessing liveness and matching facial features.
- Cross-Platform Support: Supports identity verification across web and mobile platforms, leveraging AI to maintain consistency.
9. Pindrop
- Approach:
- Voice Biometrics: Uses AI to analyze voice patterns for identity verification during helpdesk interactions.
- Phoneprinting: AI technology analyzes call audio to detect the unique characteristics of the caller’s device and network, identifying potential fraud.
- Behavioral Analysis: AI evaluates caller behavior patterns to identify and authenticate users.
- Risk Scoring: Provides a risk score based on AI analysis of the caller’s voice and behavior to assist in verification.
10. FaceTec
- Approach:
- 3D Face Authentication: Uses AI to create a 3D map of a user’s face for highly accurate verification.
- Liveness Detection: AI ensures that the verification process is done with a live person rather than a photo or video.
- Cross-Device Support: Works across various platforms including mobile and desktop.
- Anti-Spoofing: AI detects and prevents various types of spoofing attacks, ensuring secure identity verification.
Socure: