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OmniTrust
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OmniTrust

ML-powered fraud detection by Proof that identifies deepfakes, synthetic identities, and impersonation in real-time for secure digital authorizations and transactions.

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Upvotes
4 months ago
Listed
Security
Fraud Detection
Identity Verification
Deepfake Detection
Fintech
Machine Learning
Real Estate Tech
Cybersecurity
Biometrics
Tool information
Provider
Proof
Platforms
Web
iOS
Android
Languages
English
API Available
Yes
Added to directory
4 months ago
Last updated
about 2 months ago
Rating
Not available
Pricing
Contact

About OmniTrust

What the tool does and who it's for

OmniTrust is an advanced machine learning fraud detection model developed by Proof (formerly Notarize). It is purpose-built to secure high-stakes digital transactions by identifying impersonation and fraud in real-time. The platform integrates traditional identity signals with data from a vast network of millions of verified transactions to create a 360-degree risk profile. It specializes in deepfake detection, synthetic identity flagging, and liveness verification, ensuring that every authorization—from real estate closings to financial withdrawals—is legitimate. OmniTrust powers the 'Defend' suite, offering businesses auditable cryptographic evidence and human-in-the-loop validation to maintain the highest levels of trust and compliance with NIST IAL2 standards.

Key capabilities

Deepfake Detection: Analyzes video feeds for face swaps and AI impersonations using models trained on 600K+ hours of video.
Liveness Detection: Confirms physical presence to protect against replay attacks and automated AI impersonation.
Network Signals: Utilizes data from an extensive network of millions of transactions to detect coordinated fraud patterns.
Device Fingerprinting: Identifies suspicious patterns such as a single mobile device associated with multiple digital identities.
Synthetic Identity Detection: Flags fake identities by spotting discrepancies in personal records and behavioral patterns.
Human-in-the-Loop: Integrates feedback from thousands of human agents to continuously train and improve the ML model.
Transactional Risk Analysis: Adjusts risk assessments based on the nature of the transaction, such as high-value withdrawals vs. standard applications.
IP and Location Intelligence: Flags impossible travel and the use of VPNs by comparing current geolocation with historical data.

Pricing

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Most popular

Custom

  • Real-time fraud monitoring
  • Deepfake and liveness detection
  • Credential and biometric matching
  • Full audit trails
  • IAL2 compliant verification
  • API access for custom workflows

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