AuthenticID Releases Deep Fake and Generative AI Detection Solution for Businesses
By Georgia Stubbs · 11 June 2024

AuthenticID, a global leader in identity verification and fraud prevention solutions, announced the release of a new solution to detect deep fake and generative AI injection attacks. This new enhancement to their identity verification technology, developed by AuthenticID’s Product and Applied Research team, uses proprietary algorithms to prevent the majority of digital injection attacks that leverage AI-generated content.
Deep fakes are synthetic documents, videos or biometrics such as facial or audio that are artificially generated using machine learning, specifically deep learning techniques. Digital injection attacks occur when a bad actor “injects” these deep fakes into an identity verification workflow to spoof the system and bypass traditional fraud detection and identity verification methods.
“The widespread availability of inexpensive, easy-to-use tools allows bad actors to create highly convincing fake identity documents and biometrics,” said Alex Wong, VP Product Management at AuthenticID. “Recent news stories have shown just how devastating these attacks can be to any organization. Our deep fake injection attack solution meets a critical need to determine the legitimacy of a user in this new era of technology.”
AuthenticID’s Injection Attack Solution uses three methods with targeted, proprietary algorithms.
- Visual Fraud Algorithms to detect counterfeit and synthetic elements in content
- Text Fraud Algorithms to detect errors within false documents
- Behavioral Algorithms focusing on activity during the capture and submission of an ID
Companies in this story: AuthenticID
People in this story: Stephen Thwaits, Alex Wong