Deepfakes broke identity-verification model—what replaces it?

Homepage > News > Business > Deepfakes broke identity-verification model—what replaces it? TL;DR: Generative AI is exposing a fundamental weakness in digital identity verification: photographs, document scans, video, and even biometric evidence can be manufactured much more easily than in the past. Deepfakes now account for one in five biometric fraud attempts, according to Entrust, while injection attacks rose 40% year-on-year. In response, digital identity is moving toward cryptographically verifiable credentials, where authenticity can be established by who issued them and whether they have been altered, rather than by whether they look convincing. Biometrics, liveness checks, and fraud detection will remain important components of a broader trust stack. Key Takeaways: Deepfakes are now mainstream identity fraud, accounting for one in five biometric fraud attempts, according to Entrust. Looking authentic is less convincing as AI systems can create more compelling documents, faces, voices, and videos. Cryptographic credentials change the trust model by letting verifiers check who issued a document and whether it has been manipulated, rather than simply judging whether it...