The AI-powered tool is designed to detect tampered or synthetic non-ID documents, such as insurance documents and provider credentials, in seconds.

AU10TIX, a company specializing in identity verification and fraud prevention, has expanded its product suite with the release of AnyDoc Authentication, a tool designed to detect forged, tampered, or synthetic non-ID documents that may evade traditional verification systems.

The solution uses AI, forensic forgery detection, and metadata analysis to help organizations detect document fraud, maintain regulatory compliance, and scale secure onboarding. This layer of protection supports a range of document types, including utility bills, bank statements, tax filings, business licenses, and more.

According to AU10TIX, the system runs more than 150 AI-driven forgery tests, validates embedded metadata for consistency, and processes documents within five to 20 seconds. It is format-agnostic, working with both PDFs and image files, and can classify documents in under three seconds.

Key capabilities include:

  • Detection of manipulated text, synthetic content, and structural anomalies
  • Cross-checking of metadata such as timestamps and issuing authority
  • Support for a range of document types
  • Real-time decision-making and document classification

“Effective fraud prevention demands more than identity verification; it is built on ensuring the authenticity of every supporting document,” said Yair Tal, CEO of AU10TIX, in a statement.

AnyDoc Authentication is designed to align with KYC, KYB, and AML regulatory frameworks. It incorporates third-party data verification to reduce false positives and detect synthetic or deepfake document attempts. Optimized for high-risk, high-volume sectors, AnyDoc Authentication is suited for multiple industries, including healthcare where it can assist in authenticating insurance documents, prescriptions, and provider credentials. 

AnyDoc Authentication is now available to businesses seeking to enhance fraud detection and regulatory compliance.

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