Best Deepfake Detection Apps for iPhone of 2024

Oz Liveness is a world-leading facial recognition and authentication software that is used by private and public organizations around the world to reduce the risk of biometric fraud. It prevents deepfake attacks and spoofing attacks. Oz Liveness uses advanced algorithms to detect many forms of biometric spoofing. This includes 3D and 2D masks, photos and videos displayed on iPads or laptops, and photos and videos. Our technology has been approved by the industry's most stringent testing standard, ISO30107 certification. This certification helps organizations verify that they are dealing with a real person within seconds. It also lowers compliance risk and fraud risk.

Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.

CounterSocial is committed to fighting fake news and propagandism. We are the only network that uses AI to automatically analyze uploaded content in real-time to determine deepfake probabilities. Botsentinel has joined our ranks to protect our users against foreign influence operations. Optional browser extensions provide visibility to potential 'problematic" migrating accounts. CounterSocial integrates automatic and one-click-on demand identity theft alerts. COSOGuard monitors the dark and open web 24 hours a day. You'll be notified if your identity is compromised. We have also teamed up to Factlayer to integrate realtime automatic political bias leaning, fake news awareness, and color coded links that allow you to know the veracity of a site before you click through.

IDLive Face Plus combines IDLive Face presentation attacks detection with injection attacks detection to provide comprehensive protection against deepfakes, digital images, and other types fraudulent digital imagery. Detect injection attacks using virtual and external cameras. Prevent JavaScript code modification on desktops and mobile devices. Prevent replay attacks by the man-in-the middle. Protect against fraud-related software, such as cloning applications, emulators and cloning apps. Improve presentation attack detection performance. Presentation attack detection (PAD), which is used to protect facial recognition, ensures that a biometric self-portrait is not a fraudster who has presented a non-live image to the camera. This could be a printed copy of a face, a screen replay or a 3D mask. IDLive Face Plus combines presentation attack detection and a unique approach for injection attack detection in order to prevent deepfakes, as well as other fraudulent digital content.